| Core Discipline | : | Psychology |
| Areas of Expertise | : | Counselling Psychology, Neuropsychology, Psychotherapy |
| Research Interests | : | Counselling Psychology, Relationship Psychology, Mental Health of Young Adults |
| Academic Experience | : | 2 years |
| Location / Campus | : | |
| Contact | : |
Dr. Anurag Barthwal has a Ph.D. in Computer Science and Engineering from the Shiv Nadar Institution of Eminence, supported by a fellowship from the Ministry of Electronics and Information Technology. A university topper and gold medalist at PG, he has over 10 years of teaching experience in Computer Science Engineering coupled with corporate exposure in training and development. He has published two books, four book chapters,two patents, and more than 35 research papers in journals and conferences indexed in the Web of Science, Scopus, ABDC Journal Quality List and PubMed. He received a Best Paper award in 2014 and an award for Outstanding Teaching in 2022.
He is an Editor for PLOS ONE and the Journal of Artificial Intelligence and Big Data. He is a reviewer for more than 40 peer-reviewed journals, published by Nature, IEEE, Elsevier, Springer, Wiley, Taylor Francis, SAGE, Emerald Publishing, BioMed Central, IOS Press, Inder Science and Bentham Science. His areas of interest include Artificial Intelligence, Data Science, Internet of Things and Mathematical Modelling. He is a member of the Association for Computer Machinery (ACM), The Indian Mathematics Consortium (TIMC), the Computer Society of India (CSI), the Systems Society of India (SSI) and the International Association of Engineers (IAENG).
EDUCATION
Ph.D. (Computer Science and Engineering)
Shiv Nadar Institution of Eminence, Delhi-NCR (2020)
M. Tech. (Computer Network Engineering)
Graphic Era (Deemed to be University), Dehradun (2012)
B.Tech. (Electronics and Telecommunication Engineering)
Uttar Pradesh Technical University, Lucknow (2005)
- Assistant Professor, Chinmaya Vishwa Vidyapeeth, Ernakulam (Since August)
- Assistant Professor, Apeejay Stya University, Gurugram (April 2022 to June 2023)
- Assistant Professor, IIDIT University, Dehradun (June 2021 to December 2022)
- Teaching / Research Assistant, Shiv Nadar Institution of Eminence (January 2016 to May 2021)
- Assistant Professor, Graphic Era Hill University, Dehradun (May 2012 to September 2015)
- Co-Editor, Uttaranchal Decisions, Nainital (June 2008 to August 2010)
- Support Engineer, HCL Infosystems (December 2005 to June 2008)
Membership of Professional Bodies/ Associations
- Association for Computer Machinery (ACM),
- The Indian Mathematics Consortium (TIMC),
- Computer Society of India (CSI),
- Systems Society of India (SSI),
- International Association of Engineers (IAENG), and
- Computer Science Teachers Association (CSTA).
- Anurag Barthwal, A. Goel, “Advancing Air Quality Prediction Models in Urban India: A Deep Learning Approach Integrating DCNN and LSTM Architectures for AQI Time-Series Classification,” Modeling Earth Systems and Environment, 2024, doi: https://doi.org/10.1007/s40808-023-01934-9 (ESCI, Scopus).
- P. Rawat, Anurag Barthwal, “Real Time Landslide Monitoring using IoT, and Machine Learning with Cloud Integration: LANDSLIDE-MONITOR,” Environmental Earth Sciences, 2024. doi: https://doi.org/10.1007/s12665-024-11526-0 (SCIE, Scopus)
- Anurag Barthwal, S. Avikal, C. Prakash, “Machine Learning-based Prediction Models for Electoral Outcomes in India: A Comparative Analysis of Exit Polls from 2014-2021,” Quality & Quantity, 2024, doi: https://doi.org/10.1007/s11135-024-01937-3 (ABDC – B, Scopus).
- M. Nigam, Anurag Barthwal, S. Avikal, M. Ram, “An Integrated BWM And PIV Approach for Vendor Selection Methodology For Predictive Maintenance 4.0 In Chemical Fertilizer Industry,” International Journal of System Assurance Engineering and Management, 2024. (accepted) (ESCI, Scopus).
- A. Gupta, Anurag Barthwal, H. Vardhan and A. Parihar, “Evolutionary study of distributed authentication protocols and its integration to UAV-assisted FANET,” Multimedia Tools and Applications, doi: https://doi.org/10.1007/s11042-023-15197-0 (SCIE, Scopus)
- C. Prakash, Anurag Barthwal, D. Acharya, “An IoT-based system for monitoring and forecasting of flash floods in real-time,” Journal of Earth System Science, doi: https://doi.org/10.1007/s12040-023-02172-4 (SCIE, Scopus)
- C. Prakash, Anurag Barthwal, S. Avikal, G. Singh, “FSAS: An IoT-based Security System for Crop Field Storage,” International Journal of Distributed Sensor Networks, vol. 2023, Article ID 2367167, doi: https://doi.org/10.1155/2023/2367167 (SCIE, Scopus)
- S. Avikal, R. Majila, Anurag Barthwal, “COVID-19: A Kano Model and AHP Based Classification of Preventive Activities Under Fuzzy Environment,” International Journal of Quality & Reliability Management, doi: https://doi.org/10.1108/IJQRM-08-2022-0243 (ESCI, ABDC – B, Scopus Q2)
- Anurag Barthwal, “Virtualization Technology in Cloud Computing Environment,” Madhya Pradesh Journal of Social Sciences, ISSN: 0973-855X, Vol. 28, No.1, 2023. (UGC CARE)
- C. Prakash, Anurag Barthwal, D. Acharya, “FLOODWALL: A Real Time Flash Flood Monitoring and Forecasting System Using IoT,” IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 2022, doi: https://doi.org/10.1109/JSEN.2022.3223671 (SCIE, Scopus)
- Anurag Barthwal, “A Markov Chains Based IoT System for Monitoring And Analysis of Urban Air Quality,” Environmental Monitoring and Assessment, 195, 235, 2022, doi: https://doi.org/10.1007/s10661-022-10857-4 (SCIE / PubMed, Scopus)
- Anurag Barthwal, K. Sharma, “Analysis and Prediction of Urban Ambient and Surface Temperatures using Internet of Things, International Journal of System Assurance Engineering and Management, Vol. 13, pp. 516–532, 2022, doi: https://doi.org/10.1007/s13198-021-01502-3 (ESCI, Scopus)
- S. Avikal, R. Pant, Anurag Barthwal, “Factors Implementing Sustainable Circular Economy in Agro- Produce Supply Chain: DEMATEL-DANP Based Approach”, Management of Environmental Quality, 2022, doi: https://doi.org/10.1108/MEQ-03-2022-0088 (ESCI, Scopus, ABDC – C)
- Anurag Barthwal, D. Acharya, D. Lohani, “Prediction and Analysis of Particulate Matter Concentrations (PM2.5 and PM10) using Machine Learning Techniques,” Journal of Ambient Intelligence and Humanized Computing, 2021, doi: https://doi.org/10.1007/s12652-021-03051-w (SCIE, Scopus)
- Anurag Barthwal, D. Acharya, “An IoT based Sensing System for Modeling and Forecasting Urban Air Quality,” Wireless Personal Communications, Vol. 116, pp. 3503–3526, 2021, doi: https://doi.org/10.1007/s11277-020-07862-6 (SCIE, Scopus)
- D. Lohani, Anurag Barthwal, D. Acharya, “Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics,” Journal of Reliable Intelligent Environments, Vol. 8, pp. 105-115, 2021, doi: https://doi.org/10.1007/s40860-021-00137-2 (Scopus)
- Anurag Barthwal, D. Acharya, “Extreme Value Analysis of Urban Air Quality using Internet of Things,” International Journal of Next-Generation Computing, Vol. 10, No. 1, 2019, ISSN 2229- 4678/0976-5034, doi: http://dx.doi.org/10.47164/ijngc.v10i1.471 (ESCI)
- S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification using Spectral Features and Gaussian Mixture Models,” Procedia Engineering, Vol. 38, Pages 3892-3899, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.447 (Scopus)
- S. Koolagudi, S. Devliyal, Anurag Barthwal, K. S. Rao, “Recognition of Emotions from Speech using Excitation Source Features, Procedia Engineering, Vol. 38, Pages 3409-3417, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.394 (Scopus)
- C. Prakash, Anurag Barthwal, D. Acharya, “Hydro-Meteorological Flood Data Sensing, Prediction and Classification using Internet of Things,” IEEE Region 10 Symposium (TENSYMP),Anurag Barthwal, A. Goel, “Advancing Air Quality Prediction Models in Urban India: A Deep Learning Approach Integrating DCNN and LSTM Architectures for AQI Time-Series Classification,” Modeling Earth Systems and Environment, 2024, doi: https://doi.org/10.1007/s40808-023-01934-9 (ESCI, Scopus).
- P. Rawat, Anurag Barthwal, “Real Time Landslide Monitoring using IoT, and Machine Learning with Cloud Integration: LANDSLIDE-MONITOR,” Environmental Earth Sciences, 2024. doi: https://doi.org/10.1007/s12665-024-11526-0 (SCIE, Scopus)
- Anurag Barthwal, S. Avikal, C. Prakash, “Machine Learning-based Prediction Models for Electoral Outcomes in India: A Comparative Analysis of Exit Polls from 2014-2021,” Quality & Quantity, 2024, doi: https://doi.org/10.1007/s11135-024-01937-3 (ABDC – B, Scopus).
- M. Nigam, Anurag Barthwal, S. Avikal, M. Ram, “An Integrated BWM And PIV Approach for Vendor Selection Methodology For Predictive Maintenance 4.0 In Chemical Fertilizer Industry,” International Journal of System Assurance Engineering and Man
Anurag Barthwal, A. Goel, “Advancing Air Quality Prediction Models in Urban India: A Deep Learning Approach Integrating DCNN and LSTM Architectures for AQI Time-Series Classification,” Modeling Earth Systems and Environment, 2024, doi: https://doi.org/10.1007/s40808-023-01934-9 (ESCI, Scopus).
P. Rawat, Anurag Barthwal, “Real Time Landslide Monitoring using IoT, and Machine Learning with Cloud Integration: LANDSLIDE-MONITOR,” Environmental Earth Sciences, 2024. doi: https://doi.org/10.1007/s12665-024-11526-0 (SCIE, Scopus)
Anurag Barthwal, S. Avikal, C. Prakash, “Machine Learning-based Prediction Models for Electoral Outcomes in India: A Comparative Analysis of Exit Polls from 2014-2021,” Quality & Quantity, 2024, doi: https://doi.org/10.1007/s11135-024-01937-3 (ABDC – B, Scopus).
M. Nigam, Anurag Barthwal, S. Avikal, M. Ram, “An Integrated BWM And PIV Approach for Vendor Selection Methodology For Predictive Maintenance 4.0 In Chemical Fertilizer Industry,” International Journal of System Assurance Engineering and Management, 2024. (accepted) (ESCI, Scopus).
A. Gupta, Anurag Barthwal, H. Vardhan and A. Parihar, “Evolutionary study of distributed authentication protocols and its integration to UAV-assisted FANET,” Multimedia Tools and Applications, doi: https://doi.org/10.1007/s11042-023-15197-0 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, D. Acharya, “An IoT-based system for monitoring and forecasting of flash floods in real-time,” Journal of Earth System Science, doi: https://doi.org/10.1007/s12040-023-02172-4 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, S. Avikal, G. Singh, “FSAS: An IoT-based Security System for Crop Field Storage,” International Journal of Distributed Sensor Networks, vol. 2023, Article ID 2367167, doi: https://doi.org/10.1155/2023/2367167 (SCIE, Scopus)
S. Avikal, R. Majila, Anurag Barthwal, “COVID-19: A Kano Model and AHP Based Classification of Preventive Activities Under Fuzzy Environment,” International Journal of Quality & Reliability Management, doi: https://doi.org/10.1108/IJQRM-08-2022-0243 (ESCI, ABDC – B, Scopus Q2)
Anurag Barthwal, “Virtualization Technology in Cloud Computing Environment,” Madhya Pradesh Journal of Social Sciences, ISSN: 0973-855X, Vol. 28, No.1, 2023. (UGC CARE)
C. Prakash, Anurag Barthwal, D. Acharya, “FLOODWALL: A Real Time Flash Flood Monitoring and Forecasting System Using IoT,” IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 2022, doi: https://doi.org/10.1109/JSEN.2022.3223671 (SCIE, Scopus)
Anurag Barthwal, “A Markov Chains Based IoT System for Monitoring And Analysis of Urban Air Quality,” Environmental Monitoring and Assessment, 195, 235, 2022, doi: https://doi.org/10.1007/s10661-022-10857-4 (SCIE / PubMed, Scopus)
Anurag Barthwal, D. Acharya, “Performance Analysis of Sensing based Extreme Value Models for Urban Air Pollution Peaks,” Modeling Earth Systems and Environment, Vol. 8, pp. 4149–4163, 2022, doi: https://doi.org/10.1007/s40808-022-01349-y (ESCI, Scopus)
Anurag Barthwal, K. Sharma, “Analysis and Prediction of Urban Ambient and Surface Temperatures using Internet of Things, International Journal of System Assurance Engineering and Management, Vol. 13, pp. 516–532, 2022, doi: https://doi.org/10.1007/s13198-021-01502-3 (ESCI, Scopus)
S. Avikal, R. Pant, Anurag Barthwal, “Factors Implementing Sustainable Circular Economy in Agro- Produce Supply Chain: DEMATEL-DANP Based Approach”, Management of Environmental Quality, 2022, doi: https://doi.org/10.1108/MEQ-03-2022-0088 (ESCI, Scopus, ABDC – C)
Anurag Barthwal, D. Acharya, D. Lohani, “Prediction and Analysis of Particulate Matter Concentrations (PM2.5 and PM10) using Machine Learning Techniques,” Journal of Ambient Intelligence and Humanized Computing, 2021, doi: https://doi.org/10.1007/s12652-021-03051-w (SCIE, Scopus)
Anurag Barthwal, D. Acharya, “An IoT based Sensing System for Modeling and Forecasting Urban Air Quality,” Wireless Personal Communications, Vol. 116, pp. 3503–3526, 2021, doi: https://doi.org/10.1007/s11277-020-07862-6 (SCIE, Scopus)
D. Lohani, Anurag Barthwal, D. Acharya, “Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics,” Journal of Reliable Intelligent Environments, Vol. 8, pp. 105-115, 2021, doi: https://doi.org/10.10
Anurag Barthwal, A. Goel, “Advancing Air Quality Prediction Models in Urban India: A Deep Learning Approach Integrating DCNN and LSTM Architectures for AQI Time-Series Classification,” Modeling Earth Systems and Environment, 2024, doi: https://doi.org/10.1007/s40808-023-01934-9 (ESCI, Scopus).
P. Rawat, Anurag Barthwal, “Real Time Landslide Monitoring using IoT, and Machine Learning with Cloud Integration: LANDSLIDE-MONITOR,” Environmental Earth Sciences, 2024. doi: https://doi.org/10.1007/s12665-024-11526-0 (SCIE, Scopus)
Anurag Barthwal, S. Avikal, C. Prakash, “Machine Learning-based Prediction Models for Electoral Outcomes in India: A Comparative Analysis of Exit Polls from 2014-2021,” Quality & Quantity, 2024, doi: https://doi.org/10.1007/s11135-024-01937-3 (ABDC – B, Scopus).
M. Nigam, Anurag Barthwal, S. Avikal, M. Ram, “An Integrated BWM And PIV Approach for Vendor Selection Methodology For Predictive Maintenance 4.0 In Chemical Fertilizer Industry,” International Journal of System Assurance Engineering and Management, 2024. (accepted) (ESCI, Scopus).
A. Gupta, Anurag Barthwal, H. Vardhan and A. Parihar, “Evolutionary study of distributed authentication protocols and its integration to UAV-assisted FANET,” Multimedia Tools and Applications, doi: https://doi.org/10.1007/s11042-023-15197-0 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, D. Acharya, “An IoT-based system for monitoring and forecasting of flash floods in real-time,” Journal of Earth System Science, doi: https://doi.org/10.1007/s12040-023-02172-4 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, S. Avikal, G. Singh, “FSAS: An IoT-based Security System for Crop Field Storage,” International Journal of Distributed Sensor Networks, vol. 2023, Article ID 2367167, doi: https://doi.org/10.1155/2023/2367167 (SCIE, Scopus)
S. Avikal, R. Majila, Anurag Barthwal, “COVID-19: A Kano Model and AHP Based Classification of Preventive Activities Under Fuzzy Environment,” International Journal of Quality & Reliability Management, doi: https://doi.org/10.1108/IJQRM-08-2022-0243 (ESCI, ABDC – B, Scopus Q2)
Anurag Barthwal, “Virtualization Technology in Cloud Computing Environment,” Madhya Pradesh Journal of Social Sciences, ISSN: 0973-855X, Vol. 28, No.1, 2023. (UGC CARE)
C. Prakash, Anurag Barthwal, D. Acharya, “FLOODWALL: A Real Time Flash Flood Monitoring and Forecasting System Using IoT,” IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 2022, doi: https://doi.org/10.1109/JSEN.2022.3223671 (SCIE, Scopus)
Anurag Barthwal, “A Markov Chains Based IoT System for Monitoring And Analysis of Urban Air Quality,” Environmental Monitoring and Assessment, 195, 235, 2022, doi: https://doi.org/10.1007/s10661-022-10857-4 (SCIE / PubMed, Scopus)
Anurag Barthwal, D. Acharya, “Perform
Anurag Barthwal, A. Goel, “Advancing Air Quality Prediction Models in Urban India: A Deep Learning Approach Integrating DCNN and LSTM Architectures for AQI Time-Series Classification,” Modeling Earth Systems and Environment, 2024, doi: https://doi.org/10.1007/s40808-023-01934-9 (ESCI, Scopus).
P. Rawat, Anurag Barthwal, “Real Time Landslide Monitoring using IoT, and Machine Learning with Cloud Integration: LANDSLIDE-MONITOR,” Environmental Earth Sciences, 2024. doi: https://doi.org/10.1007/s12665-024-11526-0 (SCIE, Scopus)
Anurag Barthwal, S. Avikal, C. Prakash, “Machine Learning-based Prediction Models for Electoral Outcomes in India: A Comparative Analysis of Exit Polls from 2014-2021,” Quality & Quantity, 2024, doi: https://doi.org/10.1007/s11135-024-01937-3 (ABDC – B, Scopus).
M. Nigam, Anurag Barthwal, S. Avikal, M. Ram, “An Integrated BWM And PIV Approach for Vendor Selection Methodology For Predictive Maintenance 4.0 In Chemical Fertilizer Industry,” International Journal of System Assurance Engineering and Management, 2024. (accepted) (ESCI, Scopus).
A. Gupta, Anurag Barthwal, H. Vardhan and A. Parihar, “Evolutionary study of distributed authentication protocols and its integration to UAV-assisted FANET,” Multimedia Tools and Applications, doi: https://doi.org/10.1007/s11042-023-15197-0 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, D. Acharya, “An IoT-based system for monitoring and forecasting of flash floods in real-time,” Journal of Earth System Science, doi: https://doi.org/10.1007/s12040-023-02172-4 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, S. Avikal, G. Singh, “FSAS: An IoT-based Security System for Crop Field Storage,” International Journal of Distributed Sensor Networks, vol. 2023, Article ID 2367167, doi: https://doi.org/10.1155/2023/2367167 (SCIE, Scopus)
S. Avikal, R. Majila, Anurag Barthwal, “COVID-19: A Kano Model and AHP Based Classification of Preventive Activities Under Fuzzy Environment,” International Journal of Quality & Reliability Management, doi: https://doi.org/10.1108/IJQRM-08-2022-0243 (ESCI, ABDC – B, Scopus Q2)
Anurag Barthwal, “Virtualization Technology in Cloud Computing Environment,” Madhya Pradesh Journal of Social Sciences, ISSN: 0973-855X, Vol. 28, No.1, 2023. (UGC CARE)
C. Prakash, Anurag Barthwal, D. Acharya, “FLOODWALL: A Real Time Flash Flood Monitoring and Forecasting System Using IoT,” IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 2022, doi: https://doi.org/10.1109/JSEN.2022.3223671 (SCIE, Scopus)
Anurag Barthwal, “A Markov Chains Based IoT System for Monitoring And Analysis of Urban Air Quality,” Environmental Monitoring and Assessment, 195, 235, 2022, doi: https://doi.org/10.1007/s10661-022-10857-4 (SCIE / PubMed, Scopus)
Anurag Barthwal, D. Acharya, “Performance Analysis of Sensing based Extreme Value Models for Urban Air Pollution Peaks,” Modeling Earth Systems and Environment, Vol. 8, pp. 4149–4163, 2022, doi: https://doi.org/10.1007/s40808-022-01349-y (ESCI, Scopus)
Anurag Barthwal, K. Sharma, “Analysis and Prediction of Urban Ambient and Surface Temperatures using Internet of Things, International Journal of System Assurance Engineering and Management, Vol. 13, pp. 516–532, 2022, doi: https://doi.org/10.1007/s13198-021-01502-3 (ESCI, Scopus)
S. Avikal, R. Pant, Anurag Barthwal, “Factors Implementing Sustainable Circular Economy in Agro- Produce Supply Chain: DEMATEL-DANP Based Approach”, Management of Environmental Quality, 2022, doi: https://doi.org/10.1108/MEQ-03-2022-0088 (ESCI, Scopus, ABDC – C)
Anurag Barthwal, D. Acharya, D. Lohani, “Prediction and Analysis of Particulate Matter Concentrations (PM2.5 and PM10) using Machine Learning Techniques,” Journal of Ambient Intelligence and Humanized Computing, 2021, doi: https://doi.org/10.1007/s12652-021-03051-w (SCIE, Scopus)
Anurag Barthwal, D. Acharya, “An IoT based Sensing System for Modeling and Forecasting Urban Air Quality,” Wireless Personal Communications, Vol. 116, pp. 3503–3526, 2021, doi: https://doi.org/10.1007/s11277-020-07862-6 (SCIE, Scopus)
D. Lohani, Anurag Barthwal, D. Acharya, “Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics,” Journal of Reliable Intelligent Environments, Vol. 8, pp. 105-115, 2021, doi: https://doi.org/10.1007/s40860-021-00137-2 (Scopus)
Anurag Barthwal, D. Acharya, “Extreme Value Analysis of Urban Air Quality using Internet of Things,” International Journal of Next-Generation Computing, Vol. 10, No. 1, 2019, ISSN 2229- 4678/0976-5034, doi: http://dx.doi.org/10.47164/ijngc.v10i1.471 (ESCI)
S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification using Spectral Features and Gaussian Mixture Models,” Procedia Engineering, Vol. 38, Pages 3892-3899, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.447 (Scopus)
S. Koolagudi, S. Devliyal, Anurag Barth
Anurag Barthwal, A. Goel, “Advancing Air Quality Prediction Models in Urban India: A Deep Learning Approach Integrating DCNN and LSTM Architectures for AQI Time-Series Classification,” Modeling Earth Systems and Environment, 2024, doi: https://doi.org/10.1007/s40808-023-01934-9 (ESCI, Scopus).
P. Rawat, Anurag Barthwal, “Real Time Landslide Monitoring using IoT, and Machine Learning with Cloud Integration: LANDSLIDE-MONITOR,” Environmental Earth Sciences, 2024. doi: https://doi.org/10.1007/s12665-024-11526-0 (SCIE, Scopus)
Anurag Barthwal, S. Avikal, C. Prakash, “Machine Learning-based Prediction Models for Electoral Outcomes in India: A Comparative Analysis of Exit Polls from 2014-2021,” Quality & Quantity, 2024, doi: https://doi.org/10.1007/s11135-024-01937-3 (ABDC – B, Scopus).
M. Nigam, Anurag Barthwal, S. Avikal, M. Ram, “An Integrated BWM And PIV Approach for Vendor Selection Methodology For Predictive Maintenance 4.0 In Chemical Fertilizer Industry,” International Journal of System Assurance Engineering and Management, 2024. (accepted) (ESCI, Scopus).
A. Gupta, Anurag Barthwal, H. Vardhan and A. Parihar, “Evolutionary study of https://doi.org/10.1155/2023/2367167 (SCIE, Scopus)
S. Avikal, R. Majila, Anurag Barthwal, “COVID-19: A Kano Model and AHP Based Classification of Preventive Activities Under Fuzzy Environment,” International Journal of Quality & Reliability Management, doi: distributed authentication protocols and its integration to UAV-assisted FANET,” Multimedia Tools and Applications, doi: https://doi.org/10.1007/s11042-023-15197-0 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, D. Acharya, “An IoT-based system for monitoring and forecasting of flash floods in real-time,” Journal of Earth System Science, doi: https://doi.org/10.1007/s12040-023-02172-4 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, S. Avikal, G. Singh, “FSAS: An IoT-based Security System for Crop Field Storage,” International Journal of Distributed Sensor Networks, vol. 2023, Article ID 2367167, doi: https://doi.org/10.1155/2023/2367167 (SCIE, Scopus)
S. Avikal, R. Majila, Anurag Barthwal, “COVID-19: A Kano Model and AHP Based Classification of Preventive Activities Under Fuzzy Environment,” International Journal of Quality & Reliability Management, doi: https://doi.org/10.1108/IJQRM-08-2022-0243 (ESCI, ABDC – B, Scopus Q2)
Anurag Barthwal, “Virtualization Technology in Cloud Computing Environment,” Madhya Pradesh Journal of Social Sciences, ISSN: 0973-855X, Vol. 28, No.1, 2023. (UGC CARE)
C. Prakash, Anurag Barthwal, D. Acharya, “FLOODWALL: A Real Time Flash Flood Monitoring and Forecasting System Using IoT,” IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 2022, doi: https://doi.org/10.1109/JSEN.2022.3223671 (SCIE, Scopus)
Anurag Barthwal, “A Markov Chains Based IoT System for Monitoring And Analysis of Urban Air Quality,” Environmental Monitoring and Assessment, 195, 235, 2022, doi: https://doi.org/10.1007/s10661-022-10857-4 (SCIE / PubMed, Scopus)
Anurag Barthwal, D. Acharya, “Performance Analysis of Sensing based Extreme Value Models for Urban Air Pollution Peaks,” Modeling Earth Systems and Environment, Vol. 8, pp. 4149–4163, 2022, doi: https://doi.org/10.1007/s40808-022-01349-y (ESCI, Scopus)
Anurag Barthwal, K. Sharma, “Analysis and Prediction of Urban Ambient and Surface Temperatures using Internet of Things, International Journal of System Assurance Engineering and Management, Vol. 13, pp. 516–532, 2022, doi: https://doi.org/10.1007/s13198-021-01502-3 (ESCI, Scopus)
S. Avikal, R. Pant, Anurag Barthwal, “Factors Implementing Sustainable Circular Economy in Agro- Produce Supply Chain: DEMATEL-DANP Based Approach”, Management of Environmental Quality, 2022, doi: https://doi.org/10.1108/MEQ-03-2022-0088 (ESCI, Scopus, ABDC – C)
Anurag Barthwal, D. Acharya, D. Lohani, “Prediction and Analysis of Particulate Matter Concentrations (PM2.5 and PM10) using Machine Learning Techniques,” Journal of Ambient Intelligence and Humanized Computing, 2021, doi: https://doi.org/10.1007/s12652-021-03051-w (SCIE, Scopus)
Anurag Barthwal, D. Acharya, “An IoT based Sensing System for Modeling and Forecasting Urban Air Quality,” Wireless Personal Communications, Vol. 116, pp. 3503–3526, 2021, doi: https://doi.org/10.1007/s11277-020-07862-6 (SCIE, Scopus)
D. Lohani, Anurag Barthwal, D. Acharya, “Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics,” Journal of Reliable Intelligent Environments, Vol. 8, pp. 105-115, 2021, doi: https://doi.org/10.1007/s40860-021-00137-2 (Scopus)
Anurag Barthwal, D. Acharya, “Extreme Value Analysis of Urban Air Quality using Internet of Things,” International Journal of Next-Generation Computing, Vol. 10, No. 1, 2019, ISSN 2229- 4678/0976-5034, doi: http://dx.doi.org/10.47164/ijngc.v10i1.471 (ESCI)
S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification using Spectral Features and Gaussian Mixture Models,” Procedia Engineering, Vol. 38, Pages 3892-3899, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.447 (Scopus)
S. Koolagudi, S. Devliyal, Anurag Barthwal, K. S. Rao, “Recognition of Emotions from Speech using Excitation Source Features, Procedia Engineering, Vol. 38, Pages 3409-3417, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.394 (Scopus)
wal, K. S. Rao, “Recognition of Emotions from Speech using Excitation Source Features, Procedia Engineering, Vol. 38, Pages 3409-3417, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.394 (Scopus)
ance Analysis of Sensing based Extreme Value Models for Urban Air Pollution Peaks,” Modeling Earth Systems and Environment, Vol. 8, pp. 4149–4163, 2022, doi: https://doi.org/10.1007/s40808-022-01349-y (ESCI, Scopus)
Anurag Barthwal, K. Sharma, “Analysis and Prediction of Urban Ambient and Surface Temperatures using Internet of Things, International Journal of System Assurance Engineering and Management, Vol. 13, pp. 516–532, 2022, doi: https://doi.org/10.1007/s13198-021-01502-3 (ESCI, Scopus)
S. Avikal, R. Pant, Anurag Barthwal, “Factors Implementing Sustainable Circular Economy in Agro- Produce Supply Chain: DEMATEL-DANP Based Approach”, Management of Environmental Quality, 2022, doi: https://doi.org/10.1108/MEQ-03-2022-0088 (ESCI, Scopus, ABDC – C)
Anurag Barthwal, D. Acharya, D. Lohani, “Prediction and Analysis of Particulate Matter Concentrations (PM2.5 and PM10) using Machine Learning Techniques,” Journal of Ambient Intelligence and Humanized Computing, 2021, doi: https://doi.org/10.1007/s12652-021-03051-w (SCIE, Scopus)
Anurag Barthwal, D. Acharya, “An IoT based Sensing System for Modeling and Forecasting Urban Air Quality,” Wireless Personal Communications, Vol. 116, pp. 3503–3526, 2021, doi: https://doi.org/10.1007/s11277-020-07862-6 (SCIE, Scopus)
D. Lohani, Anurag Barthwal, D. Acharya, “Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics,” Journal of Reliable Intelligent Environments, Vol. 8, pp. 105-115, 2021, doi: https://doi.org/10.1007/s40860-021-00137-2 (Scopus)
Anurag Barthwal, D. Acharya, “Extreme Value Analysis of Urban Air Quality using Internet of Things,” International Journal of Next-Generation Computing, Vol. 10, No. 1, 2019, ISSN 2229- 4678/0976-5034, doi: http://dx.doi.org/10.47164/ijngc.v10i1.471 (ESCI)
S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification using Spectral Features and Gaussian Mixture Models,” Procedia Engineering, Vol. 38, Pages 3892-3899, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.447 (Scopus)
S. Koolagudi, S. Devliyal, Anurag Barthwal, K. S. Rao, “Recognition of Emotions from Speech using Excitation Source Features, Procedia Engineering, Vol. 38, Pages 3409-3417, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.394 (Scopus)
07/s40860-021-00137-2 (Scopus)
Anurag Barthwal, D. Acharya, “Extreme Value Analysis of Urban Air Quality using Internet of Things,” International Journal of Next-Generation Computing, Vol. 10, No. 1, 2019, ISSN 2229- 4678/0976-5034, doi: http://dx.doi.org/10.47164/ijngc.v10i1.471 (ESCI)
S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification using Spectral Features and Gaussian Mixture Models,” Procedia Engineering, Vol. 38, Pages 3892-3899, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.447 (Scopus)
S. Koolagudi, S. Devliyal, Anurag Barthwal, K. S. Rao, “Recognition of Emotions from Speech using Excitation Source Features, Procedia Engineering, Vol. 38, Pages 3409-3417, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.394 (Scopus)
agement, 2024. (accepted) (ESCI, Scopus).
- A. Gupta, Anurag Barthwal, H. Vardhan and A. Parihar, “Evolutionary study of distributed authentication protocols and its integration to UAV-assisted FANET,” Multimedia Tools and Applications, doi: https://doi.org/10.1007/s11042-023-15197-0 (SCIE, Scopus)
- C. Prakash, Anurag Barthwal, D. Acharya, “An IoT-based system for monitoring and forecasting of flash floods in real-time,” Journal of Earth System Science, doi: https://doi.org/10.1007/s12040-023-02172-4 (SCIE, Scopus)
- C. Prakash, Anurag Barthwal, S. Avikal, G. Singh, “FSAS: An IoT-based Security System for Crop Field Storage,” International Journal of Distributed Sensor Networks, vol. 2023, Article ID 2367167, doi: https://doi.org/10.1155/2023/2367167 (SCIE, Scopus)
- S. Koolagudi, S. Thakur, Anurag Barthwal et al., “Vowel Recognition from Telephonic Speech Using MFCCs and Gaussian Mixture Models,” Eco-friendly Computing and Communication Systems (ICECCS 2012), Communications in Computer and Information Science, Vol. 305, Springer, Berlin, https://doi.org/10.1007/978-3-642-32112-2_21 (WoS, Scopus)
- S. Avikal, R. Majila, Anurag Barthwal, “COVID-19: A Kano Model and AHP Based Classification of Preventive Activities Under Fuzzy Environment,” International Journal of Quality & Reliability Management, doi: https://doi.org/10.1108/IJQRM-08-2022-0243 (ESCI, ABDC – B, Scopus Q2)
- Anurag Barthwal, “Virtualization Technology in Cloud Computing Environment,” Madhya Pradesh Journal of Social Sciences, ISSN: 0973-855X, Vol. 28, No.1, 2023. (UGC CARE)
- C. Prakash, Anurag Barthwal, D. Acharya, “FLOODWALL: A Real Time Flash Flood Monitoring and Forecasting System Using IoT,” IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 2022, doi: https://doi.org/10.1109/JSEN.2022.3223671 (SCIE, Scopus)
- Anurag Barthwal, “A Markov Chains Based IoT System for Monitoring And Analysis of Urban Air Quality,” Environmental Monitoring and Assessment, 195, 235, 2022, doi: https://doi.org/10.1007/s10661-022-10857-4 (SCIE / PubMed, Scopus)
- Anurag Barthwal, D. Acharya, “Performance Analysis of Sensing based Extreme Value Models for Urban Air Pollution Peaks,” Modeling Earth Systems and Environment, Vol. 8, pp. 4149–4163, 2022, doi: https://doi.org/10.1007/s40808-022-01349-y (ESCI, Scopus)
- Anurag Barthwal, K. Sharma, “Analysis and Prediction of Urban Ambient and Surface Temperatures using Internet of Things, International Journal of System Assurance Engineering and Management, Vol. 13, pp. 516–532, 2022, doi: https://doi.org/10.1007/s13198-021-01502-3 (ESCI, Scopus)
- S. Avikal, R. Pant, Anurag Barthwal, “Factors Implementing Sustainable Circular Economy in Agro- Produce Supply Chain: DEMATEL-DANP Based Approach”, Management of Environmental Quality, 2022, doi: https://doi.org/10.1108/MEQ-03-2022-0088 (ESCI, Scopus, ABDC – C)
- Anurag Barthwal, D. Acharya, D. Lohani, “Prediction and Analysis of Particulate Matter Concentrations (PM2.5 and PM10) using Machine Learning Techniques,” Journal of Ambient Intelligence and Humanized Computing, 2021, doi: https://doi.org/10.1007/s12652-021-03051-w (SCIE, Scopus)
- Anurag Barthwal, D. Acharya, “An IoT based Sensing System for Modeling and Forecasting Urban Air Quality,” Wireless Personal Communications, Vol. 116, pp. 3503–3526, 2021, doi: https://doi.org/10.1007/s11277-020-07862-6 (SCIE, Scopus)
- D. Lohani, Anurag Barthwal, D. Acharya, “Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics,” Journal of Reliable Intelligent Environments, Vol. 8, pp. 105-115, 2021, doi: https://doi.org/10.1007/s40860-021-00137-2 (Scopus)
- Anurag Barthwal, D. Acharya, “Extreme Value Analysis of Urban Air Quality using Internet of Things,” International Journal of Next-Generation Computing, Vol. 10, No. 1, 2019, ISSN 2229- 4678/0976-5034, doi: http://dx.doi.org/10.47164/ijngc.v10i1.471 (ESCI)
- S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification using Spectral Features and Gaussian Mixture Models,” Procedia Engineering, Vol. 38, Pages 3892-3899, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.447 (Scopus)
- S. Koolagudi, S. Devliyal, Anurag Barthwal, K. S. Rao, “Recognition of Emotions from Speech using Excitation Source Features, Procedia Engineering, Vol. 38, Pages 3409-3417, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.394 (Scopus)
- Anurag Barthwal, A. Goel, “Advancing Air Quality Prediction Models in Urban India: A Deep Learning Approach Integrating DCNN and LSTM Architectures for AQI Time-Series Classification,” Modeling Earth Systems and Environment, 2024, doi: https://doi.org/10.1007/s40808-023-01934-9 (ESCI, Scopus).
- P. Rawat, Anurag Barthwal, “Real Time Landslide Monitoring using IoT, and Machine Learning with Cloud Integration: LANDSLIDE-MONITOR,” Environmental Earth Sciences, 2024. doi: https://doi.org/10.1007/s12665-024-11526-0 (SCIE, Scopus)
- Anurag Barthwal, S. Avikal, C. Prakash, “Machine Learning-based Prediction Models for Electoral Outcomes in India: A Comparative Analysis of Exit Polls from 2014-2021,” Quality & Quantity, 2024, doi: https://doi.org/10.1007/s11135-024-01937-3 (ABDC – B, Scopus).
- M. Nigam, Anurag Barthwal, S. Avikal, M. Ram, “An Integrated BWM And PIV Approach for Vendor Selection Methodology For Predictive Maintenance 4.0 In Chemical Fertilizer Industry,” International Journal of System Assurance Engineering and Man
Anurag Barthwal, A. Goel, “Advancing Air Quality Prediction Models in Urban India: A Deep Learning Approach Integrating DCNN and LSTM Architectures for AQI Time-Series Classification,” Modeling Earth Systems and Environment, 2024, doi: https://doi.org/10.1007/s40808-023-01934-9 (ESCI, Scopus).
P. Rawat, Anurag Barthwal, “Real Time Landslide Monitoring using IoT, and Machine Learning with Cloud Integration: LANDSLIDE-MONITOR,” Environmental Earth Sciences, 2024. doi: https://doi.org/10.1007/s12665-024-11526-0 (SCIE, Scopus)
Anurag Barthwal, S. Avikal, C. Prakash, “Machine Learning-based Prediction Models for Electoral Outcomes in India: A Comparative Analysis of Exit Polls from 2014-2021,” Quality & Quantity, 2024, doi: https://doi.org/10.1007/s11135-024-01937-3 (ABDC – B, Scopus).
M. Nigam, Anurag Barthwal, S. Avikal, M. Ram, “An Integrated BWM And PIV Approach for Vendor Selection Methodology For Predictive Maintenance 4.0 In Chemical Fertilizer Industry,” International Journal of System Assurance Engineering and Management, 2024. (accepted) (ESCI, Scopus).
A. Gupta, Anurag Barthwal, H. Vardhan and A. Parihar, “Evolutionary study of distributed authentication protocols and its integration to UAV-assisted FANET,” Multimedia Tools and Applications, doi: https://doi.org/10.1007/s11042-023-15197-0 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, D. Acharya, “An IoT-based system for monitoring and forecasting of flash floods in real-time,” Journal of Earth System Science, doi: https://doi.org/10.1007/s12040-023-02172-4 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, S. Avikal, G. Singh, “FSAS: An IoT-based Security System for Crop Field Storage,” International Journal of Distributed Sensor Networks, vol. 2023, Article ID 2367167, doi: https://doi.org/10.1108/IJQRM-08-2022-0243 (ESCI, ABDC – B, Scopus Q2)
Anurag Barthwal, “Virtualization Technology in Cloud Computing Environment,” Madhya Pradesh Journal of Social Sciences, ISSN: 0973-855X, Vol. 28, No.1, 2023. (UGC CARE)
C. Prakash, Anurag Barthwal, D. Acharya, “FLOODWALL: A Real Time Flash Flood Monitoring and Forecasting System Using IoT,” IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 2022, doi: https://doi.org/10.1109/JSEN.2022.3223671 (SCIE, Scopus)
Anurag Barthwal, “A Markov Chains Based IoT System for Monitoring And Analysis of Urban Air Quality,” Environmental Monitoring and Assessment, 195, 235, 2022, doi: https://doi.org/10.1007/s10661-022-10857-4 (SCIE / PubMed, Scopus)
Anurag Barthwal, D. Acharya, “Performance Analysis of Sensing based Extreme Value Models for Urban Air Pollution Peaks,” Modeling Earth Systems and Environment, Vol. 8, pp. 4149–4163, 2022, doi: https://doi.org/10.1007/s40808-022-01349-y (ESCI, Scopus)
Anurag Barthwal, K. Sharma, “Analysis and Prediction of Urban Ambient and Surface Temperatures using Internet of Things, International Journal of System Assurance Engineering and Management, Vol. 13, pp. 516–532, 2022, doi: https://doi.org/10.1007/s13198-021-01502-3 (ESCI, Scopus)
S. Avikal, R. Pant, Anurag Barthwal, “Factors Implementing Sustainable Circular Economy in Agro- Produce Supply Chain: DEMATEL-DANP Based Approach”, Management of Environmental Quality, 2022, doi: https://doi.org/10.1108/MEQ-03-2022-0088 (ESCI, Scopus, ABDC – C)
Anurag Barthwal, D. Acharya, D. Lohani, “Prediction and Analysis of Particulate Matter Concentrations (PM2.5 and PM10) using Machine Learning Techniques,” Journal of Ambient Intelligence and Humanized Computing, 2021, doi: https://doi.org/10.1007/s12652-021-03051-w (SCIE, Scopus)
Anurag Barthwal, D. Acharya, “An IoT based Sensing System for Modeling and Forecasting Urban Air Quality,” Wireless Personal Communications, Vol. 116, pp. 3503–3526, 2021, doi: https://doi.org/10.1007/s11277-020-07862-6 (SCIE, Scopus)
D. Lohani, Anurag Barthwal, D. Acharya, “Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics,” Journal of Reliable Intelligent Environments, Vol. 8, pp. 105-115, 2021, doi: https://doi.org/10.10
Anurag Barthwal, A. Goel, “Advancing Air Quality Prediction Models in Urban India: A Deep Learning Approach Integrating DCNN and LSTM Architectures for AQI Time-Series Classification,” Modeling Earth Systems and Environment, 2024, doi: https://doi.org/10.1007/s40808-023-01934-9 (ESCI, Scopus).
P. Rawat, Anurag Barthwal, “Real Time Landslide Monitoring using IoT, and Machine Learning with Cloud Integration: LANDSLIDE-MONITOR,” Environmental Earth Sciences, 2024. doi: https://doi.org/10.1007/s12665-024-11526-0 (SCIE, Scopus)
Anurag Barthwal, S. Avikal, C. Prakash, “Machine Learning-based Prediction Models for Electoral Outcomes in India: A Comparative Analysis of Exit Polls from 2014-2021,” Quality & Quantity, 2024, doi: https://doi.org/10.1007/s11135-024-01937-3 (ABDC – B, Scopus).
M. Nigam, Anurag Barthwal, S. Avikal, M. Ram, “An Integrated BWM And PIV Approach for Vendor Selection Methodology For Predictive Maintenance 4.0 In Chemical Fertilizer Industry,” International Journal of System Assurance Engineering and Management, 2024. (accepted) (ESCI, Scopus).
A. Gupta, Anurag Barthwal, H. Vardhan and A. Parihar, “Evolutionary study of distributed authentication protocols and its integration to UAV-assisted FANET,” Multimedia Tools and Applications, doi: https://doi.org/10.1007/s11042-023-15197-0 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, D. Acharya, “An IoT-based system for monitoring and forecasting of flash floods in real-time,” Journal of Earth System Science, doi: https://doi.org/10.1007/s12040-023-02172-4 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, S. Avikal, G. Singh, “FSAS: An IoT-based Security System for Crop Field Storage,” International Journal of Distributed Sensor Networks, vol. 2023, Article ID 2367167, doi: https://doi.org/10.1155/2023/2367167 (SCIE, Scopus)
S. Avikal, R. Majila, Anurag Barthwal, “COVID-19: A Kano Model and AHP Based Classification of Preventive Activities Under Fuzzy Environment,” International Journal of Quality & Reliability Management, doi: https://doi.org/10.1108/IJQRM-08-2022-0243 (ESCI, ABDC – B, Scopus Q2)
Anurag Barthwal, “Virtualization Technology in Cloud Computing Environment,” Madhya Pradesh Journal of Social Sciences, ISSN: 0973-855X, Vol. 28, No.1, 2023. (UGC CARE)
C. Prakash, Anurag Barthwal, D. Acharya, “FLOODWALL: A Real Time Flash Flood Monitoring and Forecasting System Using IoT,” IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 2022, doi: https://doi.org/10.1109/JSEN.2022.3223671 (SCIE, Scopus)
Anurag Barthwal, “A Markov Chains Based IoT System for Monitoring And Analysis of Urban Air Quality,” Environmental Monitoring and Assessment, 195, 235, 2022, doi: https://doi.org/10.1007/s10661-022-10857-4 (SCIE / PubMed, Scopus)
Anurag Barthwal, D. Acharya, “Perform
Anurag Barthwal, A. Goel, “Advancing Air Quality Prediction Models in Urban India: A Deep Learning Approach Integrating DCNN and LSTM Architectures for AQI Time-Series Classification,” Modeling Earth Systems and Environment, 2024, doi: https://doi.org/10.1007/s40808-023-01934-9 (ESCI, Scopus).
P. Rawat, Anurag Barthwal, “Real Time Landslide Monitoring using IoT, and Machine Learning with Cloud Integration: LANDSLIDE-MONITOR,” Environmental Earth Sciences, 2024. doi: https://doi.org/10.1007/s12665-024-11526-0 (SCIE, Scopus)
Anurag Barthwal, S. Avikal, C. Prakash, “Machine Learning-based Prediction Models for Electoral Outcomes in India: A Comparative Analysis of Exit Polls from 2014-2021,” Quality & Quantity, 2024, doi: https://doi.org/10.1007/s11135-024-01937-3 (ABDC – B, Scopus).
M. Nigam, Anurag Barthwal, S. Avikal, M. Ram, “An Integrated BWM And PIV Approach for Vendor Selection Methodology For Predictive Maintenance 4.0 In Chemical Fertilizer Industry,” International Journal of System Assurance Engineering and Management, 2024. (accepted) (ESCI, Scopus).
A. Gupta, Anurag Barthwal, H. Vardhan and A. Parihar, “Evolutionary study of distributed authentication protocols and its integration to UAV-assisted FANET,” Multimedia Tools and Applications, doi: https://doi.org/10.1007/s11042-023-15197-0 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, D. Acharya, “An IoT-based system for monitoring and forecasting of flash floods in real-time,” Journal of Earth System Science, doi: https://doi.org/10.1007/s12040-023-02172-4 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, S. Avikal, G. Singh, “FSAS: An IoT-based Security System for Crop Field Storage,” International Journal of Distributed Sensor Networks, vol. 2023, Article ID 2367167, doi: https://doi.org/10.1155/2023/2367167 (SCIE, Scopus)
S. Avikal, R. Majila, Anurag Barthwal, “COVID-19: A Kano Model and AHP Based Classification of Preventive Activities Under Fuzzy Environment,” International Journal of Quality & Reliability Management, doi: https://doi.org/10.1108/IJQRM-08-2022-0243 (ESCI, ABDC – B, Scopus Q2)
Anurag Barthwal, “Virtualization Technology in Cloud Computing Environment,” Madhya Pradesh Journal of Social Sciences, ISSN: 0973-855X, Vol. 28, No.1, 2023. (UGC CARE)
C. Prakash, Anurag Barthwal, D. Acharya, “FLOODWALL: A Real Time Flash Flood Monitoring and Forecasting System Using IoT,” IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 2022, doi: https://doi.org/10.1109/JSEN.2022.3223671 (SCIE, Scopus)
Anurag Barthwal, “A Markov Chains Based IoT System for Monitoring And Analysis of Urban Air Quality,” Environmental Monitoring and Assessment, 195, 235, 2022, doi: https://doi.org/10.1007/s10661-022-10857-4 (SCIE / PubMed, Scopus)
Anurag Barthwal, D. Acharya, “Performance Analysis of Sensing based Extreme Value Models for Urban Air Pollution Peaks,” Modeling Earth Systems and Environment, Vol. 8, pp. 4149–4163, 2022, doi: https://doi.org/10.1007/s40808-022-01349-y (ESCI, Scopus)
Anurag Barthwal, K. Sharma, “Analysis and Prediction of Urban Ambient and Surface Temperatures using Internet of Things, International Journal of System Assurance Engineering and Management, Vol. 13, pp. 516–532, 2022, doi: https://doi.org/10.1007/s13198-021-01502-3 (ESCI, Scopus)
S. Avikal, R. Pant, Anurag Barthwal, “Factors Implementing Sustainable Circular Economy in Agro- Produce Supply Chain: DEMATEL-DANP Based Approach”, Management of Environmental Quality, 2022, doi: https://doi.org/10.1108/MEQ-03-2022-0088 (ESCI, Scopus, ABDC – C)
Anurag Barthwal, D. Acharya, D. Lohani, “Prediction and Analysis of Particulate Matter Concentrations (PM2.5 and PM10) using Machine Learning Techniques,” Journal of Ambient Intelligence and Humanized Computing, 2021, doi: https://doi.org/10.1007/s12652-021-03051-w (SCIE, Scopus)
Anurag Barthwal, D. Acharya, “An IoT based Sensing System for Modeling and Forecasting Urban Air Quality,” Wireless Personal Communications, Vol. 116, pp. 3503–3526, 2021, doi: https://doi.org/10.1007/s11277-020-07862-6 (SCIE, Scopus)
D. Lohani, Anurag Barthwal, D. Acharya, “Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics,” Journal of Reliable Intelligent Environments, Vol. 8, pp. 105-115, 2021, doi: https://doi.org/10.1007/s40860-021-00137-2 (Scopus)
Anurag Barthwal, D. Acharya, “Extreme Value Analysis of Urban Air Quality using Internet of Things,” International Journal of Next-Generation Computing, Vol. 10, No. 1, 2019, ISSN 2229- 4678/0976-5034, doi: http://dx.doi.org/10.47164/ijngc.v10i1.471 (ESCI)
S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification using Spectral Features and Gaussian Mixture Models,” Procedia Engineering, Vol. 38, Pages 3892-3899, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.447 (Scopus)
S. Koolagudi, S. Devliyal, Anurag Barth
Anurag Barthwal, A. Goel, “Advancing Air Quality Prediction Models in Urban India: A Deep Learning Approach Integrating DCNN and LSTM Architectures for AQI Time-Series Classification,” Modeling Earth Systems and Environment, 2024, doi: https://doi.org/10.1007/s40808-023-01934-9 (ESCI, Scopus).
P. Rawat, Anurag Barthwal, “Real Time Landslide Monitoring using IoT, and Machine Learning with Cloud Integration: LANDSLIDE-MONITOR,” Environmental Earth Sciences, 2024. doi: https://doi.org/10.1007/s12665-024-11526-0 (SCIE, Scopus)
Anurag Barthwal, S. Avikal, C. Prakash, “Machine Learning-based Prediction Models for Electoral Outcomes in India: A Comparative Analysis of Exit Polls from 2014-2021,” Quality & Quantity, 2024, doi: https://doi.org/10.1007/s11135-024-01937-3 (ABDC – B, Scopus).
M. Nigam, Anurag Barthwal, S. Avikal, M. Ram, “An Integrated BWM And PIV Approach for Vendor Selection Methodology For Predictive Maintenance 4.0 In Chemical Fertilizer Industry,” International Journal of System Assurance Engineering and Management, 2024. (accepted) (ESCI, Scopus).
A. Gupta, Anurag Barthwal, H. Vardhan and A. Parihar, “Evolutionary study of distributed authentication protocols and its integration to UAV-assisted FANET,” Multimedia Tools and Applications, doi: https://doi.org/10.1007/s11042-023-15197-0 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, D. Acharya, “An IoT-based system for monitoring and forecasting of flash floods in real-time,” Journal of Earth System Science, doi: https://doi.org/10.1007/s12040-023-02172-4 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, S. Avikal, G. Singh, “FSAS: An IoT-based Security System for Crop Field Storage,” International Journal of Distributed Sensor Networks, vol. 2023, Article ID 2367167, doi: https://doi.org/10.1155/2023/2367167 (SCIE, Scopus)
S. Avikal, R. Majila, Anurag Barthwal, “COVID-19: A Kano Model and AHP Based Classification of Preventive Activities Under Fuzzy Environment,” International Journal of Quality & Reliability Management, doi: https://doi.org/10.1108/IJQRM-08-2022-0243 (ESCI, ABDC – B, Scopus Q2)
Anurag Barthwal, “Virtualization Technology in Cloud Computing Environment,” Madhya Pradesh Journal of Social Sciences, ISSN: 0973-855X, Vol. 28, No.1, 2023. (UGC CARE)
C. Prakash, Anurag Barthwal, D. Acharya, “FLOODWALL: A Real Time Flash Flood Monitoring and Forecasting System Using IoT,” IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 2022, doi: https://doi.org/10.1109/JSEN.2022.3223671 (SCIE, Scopus)
Anurag Barthwal, “A Markov Chains Based IoT System for Monitoring And Analysis of Urban Air Quality,” Environmental Monitoring and Assessment, 195, 235, 2022, doi: https://doi.org/10.1007/s10661-022-10857-4 (SCIE / PubMed, Scopus)
Anurag Barthwal, D. Acharya, “Performance Analysis of Sensing based Extreme Value Models for Urban Air Pollution Peaks,” Modeling Earth Systems and Environment, Vol. 8, pp. 4149–4163, 2022, doi: https://doi.org/10.1007/s40808-022-01349-y (ESCI, Scopus)
Anurag Barthwal, K. Sharma, “Analysis and Prediction of Urban Ambient and Surface Temperatures using Internet of Things, International Journal of System Assurance Engineering and Management, Vol. 13, pp. 516–532, 2022, doi: https://doi.org/10.1007/s13198-021-01502-3 (ESCI, Scopus)
S. Avikal, R. Pant, Anurag Barthwal, “Factors Implementing Sustainable Circular Economy in Agro- Produce Supply Chain: DEMATEL-DANP Based Approach”, Management of Environmental Quality, 2022, doi: https://doi.org/10.1108/MEQ-03-2022-0088 (ESCI, Scopus, ABDC – C)
Anurag Barthwal, D. Acharya, D. Lohani, “Prediction and Analysis of Particulate Matter Concentrations (PM2.5 and PM10) using Machine Learning Techniques,” Journal of Ambient Intelligence and Humanized Computing, 2021, doi: https://doi.org/10.1007/s12652-021-03051-w (SCIE, Scopus)
Anurag Barthwal, D. Acharya, “An IoT based Sensing System for Modeling and Forecasting Urban Air Quality,” Wireless Personal Communications, Vol. 116, pp. 3503–3526, 2021, doi: https://doi.org/10.1007/s11277-020-07862-6 (SCIE, Scopus)
D. Lohani, Anurag Barthwal, D. Acharya, “Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics,” Journal of Reliable Intelligent Environments, Vol. 8, pp. 105-115, 2021, doi: https://doi.org/10.1007/s40860-021-00137-2 (Scopus)
Anurag Barthwal, D. Acharya, “Extreme Value Analysis of Urban Air Quality using Internet of Things,” International Journal of Next-Generation Computing, Vol. 10, No. 1, 2019, ISSN 2229- 4678/0976-5034, doi: http://dx.doi.org/10.47164/ijngc.v10i1.471 (ESCI)
S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification using Spectral Features and Gaussian Mixture Models,” Procedia Engineering, Vol. 38, Pages 3892-3899, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.447 (Scopus)
S. Koolagudi, S. Devliyal, Anurag Barthwal, K. S. Rao, “Recognition of Emotions from Speech using Excitation Source Features, Procedia Engineering, Vol. 38, Pages 3409-3417, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.394 (Scopus)
wal, K. S. Rao, “Recognition of Emotions from Speech using Excitation Source Features, Procedia Engineering, Vol. 38, Pages 3409-3417, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.394 (Scopus)
ance Analysis of Sensing based Extreme Value Models for Urban Air Pollution Peaks,” Modeling Earth Systems and Environment, Vol. 8, pp. 4149–4163, 2022, doi: https://doi.org/10.1007/s40808-022-01349-y (ESCI, Scopus)
Anurag Barthwal, K. Sharma, “Analysis and Prediction of Urban Ambient and Surface Temperatures using Internet of Things, International Journal of System Assurance Engineering and Management, Vol. 13, pp. 516–532, 2022, doi: https://doi.org/10.1007/s13198-021-01502-3 (ESCI, Scopus)
S. Avikal, R. Pant, Anurag Barthwal, “Factors Implementing Sustainable Circular Economy in Agro- Produce Supply Chain: DEMATEL-DANP Based Approach”, Management of Environmental Quality, 2022, doi: https://doi.org/10.1108/MEQ-03-2022-0088 (ESCI, Scopus, ABDC – C)
Anurag Barthwal, D. Acharya, D. Lohani, “Prediction and Analysis of Particulate Matter Concentrations (PM2.5 and PM10) using Machine Learning Techniques,” Journal of Ambient Intelligence and Humanized Computing, 2021, doi: https://doi.org/10.1007/s12652-021-03051-w (SCIE, Scopus)
Anurag Barthwal, D. Acharya, “An IoT based Sensing System for Modeling and Forecasting Urban Air Quality,” Wireless Personal Communications, Vol. 116, pp. 3503–3526, 2021, doi: https://doi.org/10.1007/s11277-020-07862-6 (SCIE, Scopus)
D. Lohani, Anurag Barthwal, D. Acharya, “Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics,” Journal of Reliable Intelligent Environments, Vol. 8, pp. 105-115, 2021, doi: https://doi.org/10.1007/s40860-021-00137-2 (Scopus)
Anurag Barthwal, D. Acharya, “Extreme Value Analysis of Urban Air Quality using Internet of Things,” International Journal of Next-Generation Computing, Vol. 10, No. 1, 2019, ISSN 2229- 4678/0976-5034, doi: http://dx.doi.org/10.47164/ijngc.v10i1.471 (ESCI)
S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification using Spectral Features and Gaussian Mixture Models,” Procedia Engineering, Vol. 38, Pages 3892-3899, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.447 (Scopus)
S. Koolagudi, S. Devliyal, Anurag Barthwal, K. S. Rao, “Recognition of Emotions from Speech using Excitation Source Features, Procedia Engineering, Vol. 38, Pages 3409-3417, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.394 (Scopus)
07/s40860-021-00137-2 (Scopus)
Anurag Barthwal, D. Acharya, “Extreme Value Analysis of Urban Air Quality using Internet of Things,” International Journal of Next-Generation Computing, Vol. 10, No. 1, 2019, ISSN 2229- 4678/0976-5034, doi: http://dx.doi.org/10.47164/ijngc.v10i1.471 (ESCI)
S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification using Spectral Features and Gaussian Mixture Models,” Procedia Engineering, Vol. 38, Pages 3892-3899, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.447 (Scopus)
S. Koolagudi, S. Devliyal, Anurag Barthwal, K. S. Rao, “Recognition of Emotions from Speech using Excitation Source Features, Procedia Engineering, Vol. 38, Pages 3409-3417, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.394 (Scopus)
agement, 2024. (accepted) (ESCI, Scopus).
- A. Gupta, Anurag Barthwal, H. Vardhan and A. Parihar, “Evolutionary study of distributed authentication protocols and its integration to UAV-assisted FANET,” Multimedia Tools and Applications, doi: https://doi.org/10.1007/s11042-023-15197-0 (SCIE, Scopus)
- C. Prakash, Anurag Barthwal, D. Acharya, “An IoT-based system for monitoring and forecasting of flash floods in real-time,” Journal of Earth System Science, doi: https://doi.org/10.1007/s12040-023-02172-4 (SCIE, Scopus)
- C. Prakash, Anurag Barthwal, S. Avikal, G. Singh, “FSAS: An IoT-based Security System for Crop Field Storage,” International Journal of Distributed Sensor Networks, vol. 2023, Article ID 2367167, doi: https://doi.org/10.1155/2023/2367167 (SCIE, Scopus)
- S. Avikal, R. Majila, Anurag Barthwal, “COVID-19: A Kano Model and AHP Based Classification of Preventive Activities Under Fuzzy Environment,” International Journal of Quality & Reliability Management, doi: https://d
S. Avikal, R. Majila, Anurag Barthwal, “COVID-19: A Kano Model and AHP Based Classification of Preventive Activities Under Fuzzy Environment,” International Journal of Quality & Reliability Management, doi: https://doi.org/10.1108/IJQRM-08-2022-0243 (ESCI, ABDC – B, Scopus Q2)
Anurag Barthwal, “Virtualization Technology in Cloud Computing Environment,” Madhya Pradesh Journal of Social Sciences, ISSN: 0973-855X, Vol. 28, No.1, 2023. (UGC CARE)
C. Prakash, Anurag Barthwal, D. Acharya, “FLOODWALL: A Real Time Flash Flood Monitoring and Forecasting System Using IoT,” IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 2022, doi: https://doi.org/10.1109/JSEN.2022.3223671 (SCIE, Scopus)
Anurag Barthwal, “A Markov Chains Based IoT System for Monitoring And Analysis of Urban Air Quality,” Environmental Monitoring and Assessment, 195, 235, 2022, doi: https://doi.org/10.1007/s10661-022-10857-4 (SCIE / PubMed, Scopus)Anurag Barthwal, D. Acharya, “Performance Analysis of Sensing based Extreme Value Models for Urban Air Pollution Peaks,” Modeling Earth Systems and Environment, Vol. 8, pp. 4149–4163, 2022, doi: https://doi.org/10.1007/s40808-022-01349-y (ESCI, Scopus)
Anurag Barthwal, K. Sharma, “Analysis and Prediction of Urban Ambient and Surface Temperatures using Internet of Things, International Journal of System Assurance Engineering and Management, Vol. 13, pp. 516–532, 2022, doi: https://doi.org/10.1007/s13198-021-01502-3 (ESCI, Scopus)
S. Avikal, R. Pant, Anurag Barthwal, “Factors Implementing Sustainable Circular Economy in Agro- Produce Supply Chain: DEMATEL-DANP Based Approach”, Management of Environmental Quality, 2022, doi: https://doi.org/10.1108/MEQ-03-2022-0088 (ESCI, Scopus, ABDC – C)
Anurag Barthwal, D. Acharya, D. Lohani, “Prediction and Analysis of Particulate Matter Concentrations (PM2.5 and PM10) using Machine Learning Techniques,” Journal of Ambient Intelligence and Humanized Computing, 2021, doi: https://doi.org/10.1007/s12652-021-03051-w (SCIE, Scopus)
Anurag Barthwal, D. Acharya, “An IoT based Sensing System for Modeling and Forecasting Urban Air Quality,” Wireless Personal Communications, Vol. 116, pp. 3503–3526, 2021, doi: https://doi.org/10.1007/s11277-020-07862-6 (SCIE, Scopus)
D. Lohani, Anurag Barthwal, D. Acharya, “Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics,” Journal of Reliable Intelligent Environments, Vol. 8, pp. 105-115, 2021, doi: https://doi.org/10.1007/s40860-021-00137-2 (Scopus)
Anurag Barthwal, D. Acharya, “Extreme Value Analysis of Urban Air Quality using Internet of Things,” International Journal of Next-Generation Computing, Vol. 10, No. 1, 2019, ISSN 2229- 4678/0976-5034, doi: http://dx.doi.org/10.47164/ijngc.v10i1.471 (ESCI)
S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification using Spectral Features and Gaussian Mixture Models,” Procedia Engineering, Vol. 38, Pages 3892-3899, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.447 (Scopus)
S. Koolagudi, S. Devliyal, Anurag Barthwal, K. S. Rao, “Recognition of Emotions from Speech using Excitation Source Features, Procedia Engineering, Vol. 38, Pages 3409-3417, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.394 (Scopus)
Anurag Barthwal, A. Goel, “Advancing Air Quality Prediction Models in Urban India: A Deep Learning Approach Integrating DCNN and LSTM Architectures for AQI Time-Series Classification,” Modeling Earth Systems and Environment, 2024, doi: https://doi.org/10.1007/s40808-023-01934-9 (ESCI, Scopus).
P. Rawat, Anurag Barthwal, “Real Time Landslide Monitoring using IoT, and Machine Learning with Cloud Integration: LANDSLIDE-MONITOR,” Environmental Earth Sciences, 2024. doi: https://doi.org/10.1007/s12665-024-11526-0 (SCIE, Scopus)
Anurag Barthwal, S. Avikal, C. Prakash, “Machine Learning-based Prediction Models for Electoral Outcomes in India: A Comparative Analysis of Exit Polls from 2014-2021,” Quality & Quantity, 2024, doi: https://doi.org/10.1007/s11135-024-01937-3 (ABDC – B, Scopus).
M. Nigam, Anurag Barthwal, S. Avikal, M. Ram, “An Integrated BWM And PIV Approach for Vendor Selection Methodology For Predictive Maintenance 4.0 In Chemical Fertilizer Industry,” International Journal of System Assurance Engineering and Man
Anurag Barthwal, A. Goel, “Advancing Air Quality Prediction Models in Urban India: A Deep Learning Approach Integrating DCNN and LSTM Architectures for AQI Time-Series Classification,” Modeling Earth Systems and Environment, 2024, doi: https://doi.org/10.1007/s40808-023-01934-9 (ESCI, Scopus).
P. Rawat, Anurag Barthwal, “Real Time Landslide Monitoring using IoT, and Machine Learning with Cloud Integration: LANDSLIDE-MONITOR,” Environmental Earth Sciences, 2024. doi: https://doi.org/10.1007/s12665-024-11526-0 (SCIE, Scopus)
Anurag Barthwal, S. Avikal, C. Prakash, “Machine Learning-based Prediction Models for Electoral Outcomes in India: A Comparative Analysis of Exit Polls from 2014-2021,” Quality & Quantity, 2024, doi: https://doi.org/10.1007/s11135-024-01937-3 (ABDC – B, Scopus).
M. Nigam, Anurag Barthwal, S. Avikal, M. Ram, “An Integrated BWM And PIV Approach for Vendor Selection Methodology For Predictive Maintenance 4.0 In Chemical Fertilizer Industry,” International Journal of System Assurance Engineering and Management, 2024. (accepted) (ESCI, Scopus).
A. Gupta, Anurag Barthwal, H. Vardhan and A. Parihar, “Evolutionary study of distributed authentication protocols and its integration to UAV-assisted FANET,” Multimedia Tools and Applications, doi: https://doi.org/10.1007/s11042-023-15197-0 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, D. Acharya, “An IoT-based system for monitoring and forecasting of flash floods in real-time,” Journal of Earth System Science, doi: https://doi.org/10.1007/s12040-023-02172-4 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, S. Avikal, G. Singh, “FSAS: An IoT-based Security System for Crop Field Storage,” International Journal of Distributed Sensor Networks, vol. 2023, Article ID 2367167, doi: https://doi.org/10.1108/IJQRM-08-2022-0243 (ESCI, ABDC – B, Scopus Q2)
Anurag Barthwal, “Virtualization Technology in Cloud Computing Environment,” Madhya Pradesh Journal of Social Sciences, ISSN: 0973-855X, Vol. 28, No.1, 2023. (UGC CARE)
C. Prakash, Anurag Barthwal, D. Acharya, “FLOODWALL: A Real Time Flash Flood Monitoring and Forecasting System Using IoT,” IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 2022, doi: https://doi.org/10.1109/JSEN.2022.3223671 (SCIE, Scopus)
Anurag Barthwal, “A Markov Chains Based IoT System for Monitoring And Analysis of Urban Air Quality,” Environmental Monitoring and Assessment, 195, 235, 2022, doi: https://doi.org/10.1007/s10661-022-10857-4 (SCIE / PubMed, Scopus)
Anurag Barthwal, D. Acharya, “Performance Analysis of Sensing based Extreme Value Models for Urban Air Pollution Peaks,” Modeling Earth Systems and Environment, Vol. 8, pp. 4149–4163, 2022, doi: https://doi.org/10.1007/s40808-022-01349-y (ESCI, Scopus)
Anurag Barthwal, K. Sharma, “Analysis and Prediction of Urban Ambient and Surface Temperatures using Internet of Things, International Journal of System Assurance Engineering and Management, Vol. 13, pp. 516–532, 2022, doi: https://doi.org/10.1007/s13198-021-01502-3 (ESCI, Scopus)
S. Avikal, R. Pant, Anurag Barthwal, “Factors Implementing Sustainable Circular Economy in Agro- Produce Supply Chain: DEMATEL-DANP Based Approach”, Management of Environmental Quality, 2022, doi: https://doi.org/10.1108/MEQ-03-2022-0088 (ESCI, Scopus, ABDC – C)
Anurag Barthwal, D. Acharya, D. Lohani, “Prediction and Analysis of Particulate Matter Concentrations (PM2.5 and PM10) using Machine Learning Techniques,” Journal of Ambient Intelligence and Humanized Computing, 2021, doi: https://doi.org/10.1007/s12652-021-03051-w (SCIE, Scopus)
Anurag Barthwal, D. Acharya, “An IoT based Sensing System for Modeling and Forecasting Urban Air Quality,” Wireless Personal Communications, Vol. 116, pp. 3503–3526, 2021, doi: https://doi.org/10.1007/s11277-020-07862-6 (SCIE, Scopus)
D. Lohani, Anurag Barthwal, D. Acharya, “Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics,” Journal of Reliable Intelligent Environments, Vol. 8, pp. 105-115, 2021, doi: https://doi.org/10.10
Anurag Barthwal, A. Goel, “Advancing Air Quality Prediction Models in Urban India: A Deep Learning Approach Integrating DCNN and LSTM Architectures for AQI Time-Series Classification,” Modeling Earth Systems and Environment, 2024, doi: https://doi.org/10.1007/s40808-023-01934-9 (ESCI, Scopus).
P. Rawat, Anurag Barthwal, “Real Time Landslide Monitoring using IoT, and Machine Learning with Cloud Integration: LANDSLIDE-MONITOR,” Environmental Earth Sciences, 2024. doi: https://doi.org/10.1007/s12665-024-11526-0 (SCIE, Scopus)
Anurag Barthwal, S. Avikal, C. Prakash, “Machine Learning-based Prediction Models for Electoral Outcomes in India: A Comparative Analysis of Exit Polls from 2014-2021,” Quality & Quantity, 2024, doi: https://doi.org/10.1007/s11135-024-01937-3 (ABDC – B, Scopus).
M. Nigam, Anurag Barthwal, S. Avikal, M. Ram, “An Integrated BWM And PIV Approach for Vendor Selection Methodology For Predictive Maintenance 4.0 In Chemical Fertilizer Industry,” International Journal of System Assurance Engineering and Management, 2024. (accepted) (ESCI, Scopus).
A. Gupta, Anurag Barthwal, H. Vardhan and A. Parihar, “Evolutionary study of distributed authentication protocols and its integration to UAV-assisted FANET,” Multimedia Tools and Applications, doi: https://doi.org/10.1007/s11042-023-15197-0 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, D. Acharya, “An IoT-based system for monitoring and forecasting of flash floods in real-time,” Journal of Earth System Science, doi: https://doi.org/10.1007/s12040-023-02172-4 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, S. Avikal, G. Singh, “FSAS: An IoT-based Security System for Crop Field Storage,” International Journal of Distributed Sensor Networks, vol. 2023, Article ID 2367167, doi: https://doi.org/10.1155/2023/2367167 (SCIE, Scopus)
S. Avikal, R. Majila, Anurag Barthwal, “COVID-19: A Kano Model and AHP Based Classification of Preventive Activities Under Fuzzy Environment,” International Journal of Quality & Reliability Management, doi: https://doi.org/10.1108/IJQRM-08-2022-0243 (ESCI, ABDC – B, Scopus Q2)
Anurag Barthwal, “Virtualization Technology in Cloud Computing Environment,” Madhya Pradesh Journal of Social Sciences, ISSN: 0973-855X, Vol. 28, No.1, 2023. (UGC CARE)
C. Prakash, Anurag Barthwal, D. Acharya, “FLOODWALL: A Real Time Flash Flood Monitoring and Forecasting System Using IoT,” IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 2022, doi: https://doi.org/10.1109/JSEN.2022.3223671 (SCIE, Scopus)
Anurag Barthwal, “A Markov Chains Based IoT System for Monitoring And Analysis of Urban Air Quality,” Environmental Monitoring and Assessment, 195, 235, 2022, doi: https://doi.org/10.1007/s10661-022-10857-4 (SCIE / PubMed, Scopus)
Anurag Barthwal, D. Acharya, “Perform
Anurag Barthwal, A. Goel, “Advancing Air Quality Prediction Models in Urban India: A Deep Learning Approach Integrating DCNN and LSTM Architectures for AQI Time-Series Classification,” Modeling Earth Systems and Environment, 2024, doi: https://doi.org/10.1007/s40808-023-01934-9 (ESCI, Scopus).
P. Rawat, Anurag Barthwal, “Real Time Landslide Monitoring using IoT, and Machine Learning with Cloud Integration: LANDSLIDE-MONITOR,” Environmental Earth Sciences, 2024. doi: https://doi.org/10.1007/s12665-024-11526-0 (SCIE, Scopus)
Anurag Barthwal, S. Avikal, C. Prakash, “Machine Learning-based Prediction Models for Electoral Outcomes in India: A Comparative Analysis of Exit Polls from 2014-2021,” Quality & Quantity, 2024, doi: https://doi.org/10.1007/s11135-024-01937-3 (ABDC – B, Scopus).
M. Nigam, Anurag Barthwal, S. Avikal, M. Ram, “An Integrated BWM And PIV Approach for Vendor Selection Methodology For Predictive Maintenance 4.0 In Chemical Fertilizer Industry,” International Journal of System Assurance Engineering and Management, 2024. (accepted) (ESCI, Scopus).
A. Gupta, Anurag Barthwal, H. Vardhan and A. Parihar, “Evolutionary study of distributed authentication protocols and its integration to UAV-assisted FANET,” Multimedia Tools and Applications, doi: https://doi.org/10.1007/s11042-023-15197-0 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, D. Acharya, “An IoT-based system for monitoring and forecasting of flash floods in real-time,” Journal of Earth System Science, doi: https://doi.org/10.1007/s12040-023-02172-4 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, S. Avikal, G. Singh, “FSAS: An IoT-based Security System for Crop Field Storage,” International Journal of Distributed Sensor Networks, vol. 2023, Article ID 2367167, doi: https://doi.org/10.1155/2023/2367167 (SCIE, Scopus)
S. Avikal, R. Majila, Anurag Barthwal, “COVID-19: A Kano Model and AHP Based Classification of Preventive Activities Under Fuzzy Environment,” International Journal of Quality & Reliability Management, doi: https://doi.org/10.1108/IJQRM-08-2022-0243 (ESCI, ABDC – B, Scopus Q2)
Anurag Barthwal, “Virtualization Technology in Cloud Computing Environment,” Madhya Pradesh Journal of Social Sciences, ISSN: 0973-855X, Vol. 28, No.1, 2023. (UGC CARE)
C. Prakash, Anurag Barthwal, D. Acharya, “FLOODWALL: A Real Time Flash Flood Monitoring and Forecasting System Using IoT,” IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 2022, doi: https://doi.org/10.1109/JSEN.2022.3223671 (SCIE, Scopus)
Anurag Barthwal, “A Markov Chains Based IoT System for Monitoring And Analysis of Urban Air Quality,” Environmental Monitoring and Assessment, 195, 235, 2022, doi: https://doi.org/10.1007/s10661-022-10857-4 (SCIE / PubMed, Scopus)
Anurag Barthwal, D. Acharya, “Performance Analysis of Sensing based Extreme Value Models for Urban Air Pollution Peaks,” Modeling Earth Systems and Environment, Vol. 8, pp. 4149–4163, 2022, doi: https://doi.org/10.1007/s40808-022-01349-y (ESCI, Scopus)
Anurag Barthwal, K. Sharma, “Analysis and Prediction of Urban Ambient and Surface Temperatures using Internet of Things, International Journal of System Assurance Engineering and Management, Vol. 13, pp. 516–532, 2022, doi: https://doi.org/10.1007/s13198-021-01502-3 (ESCI, Scopus)
S. Avikal, R. Pant, Anurag Barthwal, “Factors Implementing Sustainable Circular Economy in Agro- Produce Supply Chain: DEMATEL-DANP Based Approach”, Management of Environmental Quality, 2022, doi: https://doi.org/10.1108/MEQ-03-2022-0088 (ESCI, Scopus, ABDC – C)
Anurag Barthwal, D. Acharya, D. Lohani, “Prediction and Analysis of Particulate Matter Concentrations (PM2.5 and PM10) using Machine Learning Techniques,” Journal of Ambient Intelligence and Humanized Computing, 2021, doi: https://doi.org/10.1007/s12652-021-03051-w (SCIE, Scopus)
Anurag Barthwal, D. Acharya, “An IoT based Sensing System for Modeling and Forecasting Urban Air Quality,” Wireless Personal Communications, Vol. 116, pp. 3503–3526, 2021, doi: https://doi.org/10.1007/s11277-020-07862-6 (SCIE, Scopus)
D. Lohani, Anurag Barthwal, D. Acharya, “Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics,” Journal of Reliable Intelligent Environments, Vol. 8, pp. 105-115, 2021, doi: https://doi.org/10.1007/s40860-021-00137-2 (Scopus)
Anurag Barthwal, D. Acharya, “Extreme Value Analysis of Urban Air Quality using Internet of Things,” International Journal of Next-Generation Computing, Vol. 10, No. 1, 2019, ISSN 2229- 4678/0976-5034, doi: http://dx.doi.org/10.47164/ijngc.v10i1.471 (ESCI)
S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification using Spectral Features and Gaussian Mixture Models,” Procedia Engineering, Vol. 38, Pages 3892-3899, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.447 (Scopus)
S. Koolagudi, S. Devliyal, Anurag Barth
Anurag Barthwal, A. Goel, “Advancing Air Quality Prediction Models in Urban India: A Deep Learning Approach Integrating DCNN and LSTM Architectures for AQI Time-Series Classification,” Modeling Earth Systems and Environment, 2024, doi: https://doi.org/10.1007/s40808-023-01934-9 (ESCI, Scopus).
P. Rawat, Anurag Barthwal, “Real Time Landslide Monitoring using IoT, and Machine Learning with Cloud Integration: LANDSLIDE-MONITOR,” Environmental Earth Sciences, 2024. doi: https://doi.org/10.1007/s12665-024-11526-0 (SCIE, Scopus)
Anurag Barthwal, S. Avikal, C. Prakash, “Machine Learning-based Prediction Models for Electoral Outcomes in India: A Comparative Analysis of Exit Polls from 2014-2021,” Quality & Quantity, 2024, doi: https://doi.org/10.1007/s11135-024-01937-3 (ABDC – B, Scopus).
M. Nigam, Anurag Barthwal, S. Avikal, M. Ram, “An Integrated BWM And PIV Approach for Vendor Selection Methodology For Predictive Maintenance 4.0 In Chemical Fertilizer Industry,” International Journal of System Assurance Engineering and Management, 2024. (accepted) (ESCI, Scopus).
A. Gupta, Anurag Barthwal, H. Vardhan and A. Parihar, “Evolutionary study of distributed authentication protocols and its integration to UAV-assisted FANET,” Multimedia Tools and Applications, doi: https://doi.org/10.1007/s11042-023-15197-0 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, D. Acharya, “An IoT-based system for monitoring and forecasting of flash floods in real-time,” Journal of Earth System Science, doi: https://doi.org/10.1007/s12040-023-02172-4 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, S. Avikal, G. Singh, “FSAS: An IoT-based Security System for Crop Field Storage,” International Journal of Distributed Sensor Networks, vol. 2023, Article ID 2367167, doi: https://doi.org/10.1155/2023/2367167 (SCIE, Scopus)
S. Avikal, R. Majila, Anurag Barthwal, “COVID-19: A Kano Model and AHP Based Classification of Preventive Activities Under Fuzzy Environment,” International Journal of Quality & Reliability Management, doi: https://doi.org/10.1108/IJQRM-08-2022-0243 (ESCI, ABDC – B, Scopus Q2)
Anurag Barthwal, “Virtualization Technology in Cloud Computing Environment,” Madhya Pradesh Journal of Social Sciences, ISSN: 0973-855X, Vol. 28, No.1, 2023. (UGC CARE)
C. Prakash, Anurag Barthwal, D. Acharya, “FLOODWALL: A Real Time Flash Flood Monitoring and Forecasting System Using IoT,” IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 2022, doi: https://doi.org/10.1109/JSEN.2022.3223671 (SCIE, Scopus)
Anurag Barthwal, “A Markov Chains Based IoT System for Monitoring And Analysis of Urban Air Quality,” Environmental Monitoring and Assessment, 195, 235, 2022, doi: https://doi.org/10.1007/s10661-022-10857-4 (SCIE / PubMed, Scopus)
Anurag Barthwal, D. Acharya, “Performance Analysis of Sensing based Extreme Value Models for Urban Air Pollution Peaks,” Modeling Earth Systems and Environment, Vol. 8, pp. 4149–4163, 2022, doi: https://doi.org/10.1007/s40808-022-01349-y (ESCI, Scopus)
Anurag Barthwal, K. Sharma, “Analysis and Prediction of Urban Ambient and Surface Temperatures using Internet of Things, International Journal of System Assurance Engineering and Management, Vol. 13, pp. 516–532, 2022, doi: https://doi.org/10.1007/s13198-021-01502-3 (ESCI, Scopus)
S. Avikal, R. Pant, Anurag Barthwal, “Factors Implementing Sustainable Circular Economy in Agro- Produce Supply Chain: DEMATEL-DANP Based Approach”, Management of Environmental Quality, 2022, doi: https://doi.org/10.1108/MEQ-03-2022-0088 (ESCI, Scopus, ABDC – C)
Anurag Barthwal, D. Acharya, D. Lohani, “Prediction and Analysis of Particulate Matter Concentrations (PM2.5 and PM10) using Machine Learning Techniques,” Journal of Ambient Intelligence and Humanized Computing, 2021, doi: https://doi.org/10.1007/s12652-021-03051-w (SCIE, Scopus)
Anurag Barthwal, D. Acharya, “An IoT based Sensing System for Modeling and Forecasting Urban Air Quality,” Wireless Personal Communications, Vol. 116, pp. 3503–3526, 2021, doi: https://doi.org/10.1007/s11277-020-07862-6 (SCIE, Scopus)
D. Lohani, Anurag Barthwal, D. Acharya, “Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics,” Journal of Reliable Intelligent Environments, Vol. 8, pp. 105-115, 2021, doi: https://doi.org/10.1007/s40860-021-00137-2 (Scopus)
Anurag Barthwal, D. Acharya, “Extreme Value Analysis of Urban Air Quality using Internet of Things,” International Journal of Next-Generation Computing, Vol. 10, No. 1, 2019, ISSN 2229- 4678/0976-5034, doi: http://dx.doi.org/10.47164/ijngc.v10i1.471 (ESCI)
S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification using Spectral Features and Gaussian Mixture Models,” Procedia Engineering, Vol. 38, Pages 3892-3899, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.447 (Scopus)
S. Koolagudi, S. Devliyal, Anurag Barthwal, K. S. Rao, “Recognition of Emotions from Speech using Excitation Source Features, Procedia Engineering, Vol. 38, Pages 3409-3417, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.394 (Scopus)wal, K. S. Rao, “Recognition of Emotions from Speech using Excitation Source Features, Procedia Engineering, Vol. 38, Pages 3409-3417, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.394 (Scopus)
ance Analysis of Sensing based Extreme Value Models for Urban Air Pollution Peaks,” Modeling Earth Systems and Environment, Vol. 8, pp. 4149–4163, 2022, doi: https://doi.org/10.1007/s40808-022-01349-y (ESCI, Scopus)
Anurag Barthwal, K. Sharma, “Analysis and Prediction of Urban Ambient and Surface Temperatures using Internet of Things, International Journal of System Assurance Engineering and Management, Vol. 13, pp. 516–532, 2022, doi: https://doi.org/10.1007/s13198-021-01502-3 (ESCI, Scopus)
S. Avikal, R. Pant, Anurag Barthwal, “Factors Implementing Sustainable Circular Economy in Agro- Produce Supply Chain: DEMATEL-DANP Based Approach”, Management of Environmental Quality, 2022, doi: https://doi.org/10.1108/MEQ-03-2022-0088 (ESCI, Scopus, ABDC – C)
Anurag Barthwal, D. Acharya, D. Lohani, “Prediction and Analysis of Particulate Matter Concentrations (PM2.5 and PM10) using Machine Learning Techniques,” Journal of Ambient Intelligence and Humanized Computing, 2021, doi: https://doi.org/10.1007/s12652-021-03051-w (SCIE, Scopus)
Anurag Barthwal, D. Acharya, “An IoT based Sensing System for Modeling and Forecasting Urban Air Quality,” Wireless Personal Communications, Vol. 116, pp. 3503–3526, 2021, doi: https://doi.org/10.1007/s11277-020-07862-6 (SCIE, Scopus)
D. Lohani, Anurag Barthwal, D. Acharya, “Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics,” Journal of Reliable Intelligent Environments, Vol. 8, pp. 105-115, 2021, doi: https://doi.org/10.1007/s40860-021-00137-2 (Scopus)
Anurag Barthwal, D. Acharya, “Extreme Value Analysis of Urban Air Quality using Internet of Things,” International Journal of Next-Generation Computing, Vol. 10, No. 1, 2019, ISSN 2229- 4678/0976-5034, doi: http://dx.doi.org/10.47164/ijngc.v10i1.471 (ESCI)
S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification using Spectral Features and Gaussian Mixture Models,” Procedia Engineering, Vol. 38, Pages 3892-3899, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.447 (Scopus)
S. Koolagudi, S. Devliyal, Anurag Barthwal, K. S. Rao, “Recognition of Emotions from Speech using Excitation Source Features, Procedia Engineering, Vol. 38, Pages 3409-3417, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.394 (Scopus)07/s40860-021-00137-2 (Scopus)
Anurag Barthwal, D. Acharya, “Extreme Value Analysis of Urban Air Quality using Internet of Things,” International Journal of Next-Generation Computing, Vol. 10, No. 1, 2019, ISSN 2229- 4678/0976-5034, doi: http://dx.doi.org/10.47164/ijngc.v10i1.471 (ESCI)
S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification using Spectral Features and Gaussian Mixture Models,” Procedia Engineering, Vol. 38, Pages 3892-3899, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.447 (Scopus)
S. Koolagudi, S. Devliyal, Anurag Barthwal, K. S. Rao, “Recognition of Emotions from Speech using Excitation Source Features, Procedia Engineering, Vol. 38, Pages 3409-3417, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.394 (Scopus)agement, 2024. (accepted) (ESCI, Scopus).
A. Gupta, Anurag Barthwal, H. Vardhan and A. Parihar, “Evolutionary study of distributed authentication protocols and its integration to UAV-assisted FANET,” Multimedia Tools and Applications, doi: https://doi.org/10.1007/s11042-023-15197-0 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, D. Acharya, “An IoT-based system for monitoring and forecasting of flash floods in real-time,” Journal of Earth System Science, doi: https://doi.org/10.1007/s12040-023-02172-4 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, S. Avikal, G. Singh, “FSAS: An IoT-based Security System for Crop Field Storage,” International Journal of Distributed Sensor Networks, vol. 2023, Article ID 2367167, doi: https://doi.org/10.1155/2023/2367167 (SCIE, Scopus)
S. Avikal, R. Majila, Anurag Barthwal, “COVID-19: A Kano Model and AHP Based Classification of Preventive Activities Under Fuzzy Environment,” International Journal of Quality & Reliability Management, doi: https://doi.org/10.1108/IJQRM-08-2022-0243 (ESCI, ABDC – B, Scopus Q2)
Anurag Barthwal, “Virtualization Technology in Cloud Computing Environment,” Madhya Pradesh Journal of Social Sciences, ISSN: 0973-855X, Vol. 28, No.1, 2023. (UGC CARE)
C. Prakash, Anurag Barthwal, D. Acharya, “FLOODWALL: A Real Time Flash Flood Monitoring and Forecasting System Using IoT,” IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 2022, doi: https://doi.org/10.1109/JSEN.2022.3223671 (SCIE, Scopus)
Anurag Barthwal, “A Markov Chains Based IoT System for Monitoring And Analysis of Urban Air Quality,” Environmental Monitoring and Assessment, 195, 235, 2022, doi: https://doi.org/10.1007/s10661-022-10857-4 (SCIE / PubMed, Scopus)Anurag Barthwal, D. Acharya, “Performance Analysis of Sensing based Extreme Value Models for Urban Air Pollution Peaks,” Modeling Earth Systems and Environment, Vol. 8, pp. 4149–4163, 2022, doi: https://doi.org/10.1007/s40808-022-01349-y (ESCI, Scopus)
Anurag Barthwal, K. Sharma, “Analysis and Prediction of Urban Ambient and Surface Temperatures using Internet of Things, International Journal of System Assurance Engineering and Management, Vol. 13, pp. 516–532, 2022, doi: https://doi.org/10.1007/s13198-021-01502-3 (ESCI, Scopus)
S. Avikal, R. Pant, Anurag Barthwal, “Factors Implementing Sustainable Circular Economy in Agro- Produce Supply Chain: DEMATEL-DANP Based Approach”, Management of Environmental Quality, 2022, doi: https://doi.org/10.1108/MEQ-03-2022-0088 (ESCI, Scopus, ABDC – C)
Anurag Barthwal, D. Acharya, D. Lohani, “Prediction and Analysis of Particulate Matter Concentrations (PM2.5 and PM10) using Machine Learning Techniques,” Journal of Ambient Intelligence and Humanized Computing, 2021, doi: https://doi.org/10.1007/s12652-021-03051-w (SCIE, Scopus)
Anurag Barthwal, D. Acharya, “An IoT based Sensing System for Modeling and Forecasting Urban Air Quality,” Wireless Personal Communications, Vol. 116, pp. 3503–3526, 2021, doi: https://doi.org/10.1007/s11277-020-07862-6 (SCIE, Scopus)
D. Lohani, Anurag Barthwal, D. Acharya, “Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics,” Journal of Reliable Intelligent Environments, Vol. 8, pp. 105-115, 2021, doi: https://doi.org/10.1007/s40860-021-00137-2 (Scopus)
Anurag Barthwal, D. Acharya, “Extreme Value Analysis of Urban Air Quality using Internet of Things,” International Journal of Next-Generation Computing, Vol. 10, No. 1, 2019, ISSN 2229- 4678/0976-5034, doi: http://dx.doi.org/10.47164/ijngc.v10i1.471 (ESCI)
S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification using Spectral Features and Gaussian Mixture Models,” Procedia Engineering, Vol. 38, Pages 3892-3899, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.447 (Scopus)
S. Koolagudi, S. Devliyal, Anurag Barthwal, K. S. Rao, “Recognition of Emotions from Speech using Excitation Source Features, Procedia Engineering, Vol. 38, Pages 3409-3417, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.394 (Scopus)
(ABDC – B, Scopus). Canberra, Australia, 2023, pp. 1-6, doi: 10.1109/TENSYMP55890.2023.10223648. (WoS, Scopus)
Anurag Barthwal, A. Jain, B. Dhyani, “A Survey of Body Sensor Network Security and Authentication Schemes,” AIP Conference Proceedings, vol. 2481, 020005, 2022, doi: https://doi.org/10.1063/5.0103743 (Scopus)
B. Dhyani, A. Jain, Anurag Barthwal, M. Kumar, “The Prediction of Closing Prices of Company Stocks using Random Forests and Artificial Neural Networks,” AIP Conference Proceedings, vol. 2481, 020016, 2022, doi: https://doi.org/10.1063/5.0103754 (Scopus)
B. Dhyani, A. Jain, M. Kumar, Anurag Barthwal, “Analysis and Prediction of Closing Price of Commodity Index using Auto Regressive Integrated Moving Averages (ARIMA) Model,” AIP Conference Proceedings, vol. 2481, 020015, 2022, doi: https://doi.org/10.1063/5.0103749 (Scopus)
S. Avikal, K. Sharma, A. Barthwal et al., “Estimation of age from speech using excitation source features,” Materials Today: Proceedings, 2021, https://doi.org/10.1016/j.matpr.2021.02.159 (WoS, Scopus)
K. Rastogi, Anurag Barthwal, D. Lohani, D. Acharya, “An IoT-based Discrete Time Markov Chain Model for Analysis and Prediction of Indoor Air Quality Index,” 2020 IEEE Sensors Applications Symposium (SAS), Kuala Lumpur, Malaysia, 2020, pp. 1-6, doi: 10.1109/SAS48726.2020.9220077 (WoS, Scopus)
N. Kumar, Anurag Barthwal, D. Lohani, D. Acharya, “Modeling IoT Enabled Automotive System for Accident Detection and Classification,” 2020 IEEE Sensors Applications Symposium (SAS), Kuala Lumpur, Malaysia, 2020, pp. 1-6, doi: 10.1109/SAS48726.2020.9220030 (WoS, Scopus)
N. Kumar, Anurag Barthwal, D. Lohani, D. Acharya, “Vehicle Fall Severity Modeling using IoT and K- Nearest Neighbor Algorithm,” 2020 International Conference on COMmunication Systems & NETworkS (COMSNETS), Bengaluru, India, 2020, pp. 105-109, doi: 10.1109/COMSNETS48256.2020 (WoS, Scopus)
Anurag Barthwal, D. Acharya, D. Lohani, “IoT System based Forecasting and Modeling Exceedance Probability and Return Period of Air Quality using Extreme Value Distribution,” 2019 IEEE Sensors Applications Symposium (SAS), 2019, Sophia Antipolis, France, 2019, pp. 1-6, doi: 10.1109/SAS.2019.8706035 (WoS, Scopus)
K. Rastogi, Anurag Barthwal, D. Lohani, “AQCI: An IoT Based Air Quality and Thermal Comfort Model using Fuzzy Inference,” 2019 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), Goa, India, 2019, pp. 1-6, doi: 10.1109/ANTS47819.2019.9118026 (WoS, Scopus)
N. Kumar, Anurag Barthwal, D. Acharya, “Modeling Vehicle Collision Events using Internet of Things,” 2019 IEEE 16th India Council International Conference (INDICON), Rajkot, India, 2019, pp. 1-4, doi: 10.1109/INDICON47234.2019.9030337 (WoS, Scopus)
D. Lohani, Anurag Barthwal, D. Acharya, “Predictive Modelling of In-Vehicle CO2 Concentration Using Sensor Data Analytics,” 2018 IEEE SENSORS, IIT Delhi, India, 2018, pp. 1-4, doi: 10.1109/ICSENS.2018.8589883 (WoS, Scopus)
Anurag Barthwal, D. Acharya, “An Internet of Things System for Sensing, Analysis & Forecasting Urban Air Quality,” in 2018 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), 2018, pp. 1-6, IISC Bangalore, doi: 10.1109/CONECCT.2018.8482397 (WoS, Scopus)
T. Mittal, Anurag Barthwal, S. Koolagudi, “Age Approximation from Speech Using Gaussian Mixture Models,” 2013 International Conference on Advanced Computing, Networking and Security (ADCONS), Mangalore, India, 2013, pp. 74-78, doi: 10.1109/ADCONS.2013.43 (WoS, Scopus) [Best paper award at ADCONS’ 2014, NIT Surathkal]
S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification from Speech Using Gaussian Mixture Models,” Contemporary Computing (IC3), 2012, Communications in Computer and Information Science, Vol. 306, Pages 250-261, Springer, doi: https://doi.org/10.1007/978-3-642- 32129-0_28 (WoS, Scopus)
S. Thakur, M.K. Singh, Anurag Barthwal, “Telephonic Vowel Recognition in the Case of English Vowels,” Contemporary Computing (IC3 2012), Communications in Computer and Information Science,Vol. 306, Springer, Berlin, doi: https://doi.org/10.1007/978-3-642-32129-0_54 (WoS, Scopus)
S. Koolagudi, S. Thakur, Anurag Barthwal et al., “Vowel Recognition from Telephonic Speech Using MFCCs and Gaussian Mixture Models,” Eco-friendly Computing and Communication Systems (ICECCS 2012), Communications in Computer and Information Science, Vol. 305, Springer, Berlin, https://doi.org/10.1007/978-3-642-32112-2_21 (WoS, Scopus)
oi.org/10.1108/IJQRM-08-2022-0243 (ESCI, ABDC – B, Scopus Q2)
S. Koolagudi, S. Devliyal, Anurag Barthwal, K. S. Rao, “Emotion Recognition from Semi Natural Speech Using Artificial Neural Networks and Excitation Source Features, Contemporary Computing. IC32012, Communications in Computer and Information Science, Vol. 306, Springer, Berlin, doi: https://doi.org/10.1007/978-3-642-32129-0_30 (WoS, Scopus)
- Anurag Barthwal, “Virtualization Technology in Cloud Computing Environment,” Madhya Pradesh Journal of Social Sciences, ISSN: 0973-855X, Vol. 28, No.1, 2023. (UGC CARE)
- C. Prakash, Anurag Barthwal, D. Acharya, “FLOODWALL: A Real Time Flash Flood Monitoring and Forecasting System Using IoT,” IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 2022, doi: https://doi.org/10.1109/JSEN.2022.3223671 (SCIE, Scopus)
- Anurag Barthwal, “A Markov Chains Based IoT System for Monitoring And Analysis of Urban Air Quality,” Environmental Monitoring and Assessment, 195, 235, 2022, doi: https://doi.org/10.1007/s10661-022-10857-4 (SCIE / PubMed, Scopus)
- Anurag Barthwal, D. Acharya, “Performance Analysis of Sensing based Extreme Value Models for Urban Air Pollution Peaks,” Modeling Earth Systems and Environment, Vol. 8, pp. 4149–4163, 2022, doi: https://doi.org/10.1007/s40808-022-01349-y (ESCI, Scopus)
- Anurag Barthwal, K. Sharma, “Analysis and Prediction of Urban Ambient and Surface Temperatures using Internet of Things, International Journal of System Assurance Engineering and Management, Vol. 13, pp. 516–532, 2022, doi: https://doi.org/10.1007/s13198-021-01502-3 (ESCI, Scopus)
- S. Avikal, R. Pant, Anurag Barthwal, “Factors Implementing Sustainable Circular Economy in Agro- Produce Supply Chain: DEMATEL-DANP Based Approach”, Management of Environmental Quality, 2022, doi: https://doi.org/10.1108/MEQ-03-2022-0088 (ESCI, Scopus, ABDC – C)
- Anurag Barthwal, D. Acharya, D. Lohani, “Prediction and Analysis of Particulate Matter Concentrations (PM2.5 and PM10) using Machine Learning Techniques,”
S. Avikal, R. Majila, Anurag Barthwal, “COVID-19: A Kano Model and AHP Based Classification of Preventive Activities Under Fuzzy Environment,” International Journal of Quality & Reliability Management, doi: https://doi.org/10.1108/IJQRM-08-2022-0243 (ESCI, ABDC – B, Scopus Q2)
Anurag Barthwal, “Virtualization Technology in Cloud Computing Environment,” Madhya Pradesh Journal of Social Sciences, ISSN: 0973-855X, Vol. 28, No.1, 2023. (UGC CARE)
C. Prakash, Anurag Barthwal, D. Acharya, “FLOODWALL: A Real Time Flash Flood Monitoring and Forecasting System Using IoT,” IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 2022, doi: https://doi.org/10.1109/JSEN.2022.3223671 (SCIE, Scopus)
Anurag Barthwal, “A Markov Chains Based IoT System for Monitoring And Analysis of Urban Air Quality,” Environmental Monitoring and Assessment, 195, 235, 2022, doi: https://doi.org/10.1007/s10661-022-10857-4 (SCIE / PubMed, Scopus)Anurag Barthwal, D. Acharya, “Performance Analysis of Sensing based Extreme Value Models for Urban Air Pollution Peaks,” Modeling Earth Systems and Environment, Vol. 8, pp. 4149–4163, 2022, doi: https://doi.org/10.1007/s40808-022-01349-y (ESCI, Scopus)
Anurag Barthwal, K. Sharma, “Analysis and Prediction of Urban Ambient and Surface Temperatures using Internet of Things, International Journal of System Assurance Engineering and Management, Vol. 13, pp. 516–532, 2022, doi: https://doi.org/10.1007/s13198-021-01502-3 (ESCI, Scopus)
S. Avikal, R. Pant, Anurag Barthwal, “Factors Implementing Sustainable Circular Economy in Agro- Produce Supply Chain: DEMATEL-DANP Based Approach”, Management of Environmental Quality, 2022, doi: https://doi.org/10.1108/MEQ-03-2022-0088 (ESCI, Scopus, ABDC – C)
Anurag Barthwal, D. Acharya, D. Lohani, “Prediction and Analysis of Particulate Matter Concentrations (PM2.5 and PM10) using Machine Learning Techniques,” Journal of Ambient Intelligence and Humanized Computing, 2021, doi: https://doi.org/10.1007/s12652-021-03051-w (SCIE, Scopus)
Anurag Barthwal, D. Acharya, “An IoT based Sensing System for Modeling and Forecasting Urban Air Quality,” Wireless Personal Communications, Vol. 116, pp. 3503–3526, 2021, doi: https://doi.org/10.1007/s11277-020-07862-6 (SCIE, Scopus)
D. Lohani, Anurag Barthwal, D. Acharya, “Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics,” Journal of Reliable Intelligent Environments, Vol. 8, pp. 105-115, 2021, doi: https://doi.org/10.1007/s40860-021-00137-2 (Scopus)
Anurag Barthwal, D. Acharya, “Extreme Value Analysis of Urban Air Quality using Internet of Things,” International Journal of Next-Generation Computing, Vol. 10, No. 1, 2019, ISSN 2229- 4678/0976-5034, doi: http://dx.doi.org/10.47164/ijngc.v10i1.471 (ESCI)
S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification using Spectral Features and Gaussian Mixture Models,” Procedia Engineering, Vol. 38, Pages 3892-3899, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.447 (Scopus)
S. Koolagudi, S. Devliyal, Anurag Barthwal, K. S. Rao, “Recognition of Emotions from Speech using Excitation Source Features, Procedia Engineering, Vol. 38, Pages 3409-3417, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.394 (Scopus)
Anurag Barthwal, A. Goel, “Advancing Air Quality Prediction Models in Urban India: A Deep Learning Approach Integrating DCNN and LSTM Architectures for AQI Time-Series Classification,” Modeling Earth Systems and Environment, 2024, doi: https://doi.org/10.1007/s40808-023-01934-9 (ESCI, Scopus).
P. Rawat, Anurag Barthwal, “Real Time Landslide Monitoring using IoT, and Machine Learning with Cloud Integration: LANDSLIDE-MONITOR,” Environmental Earth Sciences, 2024. doi: https://doi.org/10.1007/s12665-024-11526-0 (SCIE, Scopus)
Anurag Barthwal, S. Avikal, C. Prakash, “Machine Learning-based Prediction Models for Electoral Outcomes in India: A Comparative Analysis of Exit Polls from 2014-2021,” Quality & Quantity, 2024, doi: https://doi.org/10.1007/s11135-024-01937-3 (ABDC – B, Scopus).
M. Nigam, Anurag Barthwal, S. Avikal, M. Ram, “An Integrated BWM And PIV Approach for Vendor Selection Methodology For Predictive Maintenance 4.0 In Chemical Fertilizer Industry,” International Journal of System Assurance Engineering and Man
Anurag Barthwal, A. Goel, “Advancing Air Quality Prediction Models in Urban India: A Deep Learning Approach Integrating DCNN and LSTM Architectures for AQI Time-Series Classification,” Modeling Earth Systems and Environment, 2024, doi: https://doi.org/10.1007/s40808-023-01934-9 (ESCI, Scopus).
P. Rawat, Anurag Barthwal, “Real Time Landslide Monitoring using IoT, and Machine Learning with Cloud Integration: LANDSLIDE-MONITOR,” Environmental Earth Sciences, 2024. doi: https://doi.org/10.1007/s12665-024-11526-0 (SCIE, Scopus)
Anurag Barthwal, S. Avikal, C. Prakash, “Machine Learning-based Prediction Models for Electoral Outcomes in India: A Comparative Analysis of Exit Polls from 2014-2021,” Quality & Quantity, 2024, doi: https://doi.org/10.1007/s11135-024-01937-3 (ABDC – B, Scopus).
M. Nigam, Anurag Barthwal, S. Avikal, M. Ram, “An Integrated BWM And PIV Approach for Vendor Selection Methodology For Predictive Maintenance 4.0 In Chemical Fertilizer Industry,” International Journal of System Assurance Engineering and Management, 2024. (accepted) (ESCI, Scopus).
A. Gupta, Anurag Barthwal, H. Vardhan and A. Parihar, “Evolutionary study of distributed authentication protocols and its integration to UAV-assisted FANET,” Multimedia Tools and Applications, doi: https://doi.org/10.1007/s11042-023-15197-0 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, D. Acharya, “An IoT-based system for monitoring and forecasting of flash floods in real-time,” Journal of Earth System Science, doi: https://doi.org/10.1007/s12040-023-02172-4 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, S. Avikal, G. Singh, “FSAS: An IoT-based Security System for Crop Field Storage,” International Journal of Distributed Sensor Networks, vol. 2023, Article ID 2367167, doi: https://doi.org/10.1108/IJQRM-08-2022-0243 (ESCI, ABDC – B, Scopus Q2)
Anurag Barthwal, “Virtualization Technology in Cloud Computing Environment,” Madhya Pradesh Journal of Social Sciences, ISSN: 0973-855X, Vol. 28, No.1, 2023. (UGC CARE)
C. Prakash, Anurag Barthwal, D. Acharya, “FLOODWALL: A Real Time Flash Flood Monitoring and Forecasting System Using IoT,” IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 2022, doi: https://doi.org/10.1109/JSEN.2022.3223671 (SCIE, Scopus)
Anurag Barthwal, “A Markov Chains Based IoT System for Monitoring And Analysis of Urban Air Quality,” Environmental Monitoring and Assessment, 195, 235, 2022, doi: https://doi.org/10.1007/s10661-022-10857-4 (SCIE / PubMed, Scopus)
Anurag Barthwal, D. Acharya, “Performance Analysis of Sensing based Extreme Value Models for Urban Air Pollution Peaks,” Modeling Earth Systems and Environment, Vol. 8, pp. 4149–4163, 2022, doi: https://doi.org/10.1007/s40808-022-01349-y (ESCI, Scopus)
Anurag Barthwal, K. Sharma, “Analysis and Prediction of Urban Ambient and Surface Temperatures using Internet of Things, International Journal of System Assurance Engineering and Management, Vol. 13, pp. 516–532, 2022, doi: https://doi.org/10.1007/s13198-021-01502-3 (ESCI, Scopus)
S. Avikal, R. Pant, Anurag Barthwal, “Factors Implementing Sustainable Circular Economy in Agro- Produce Supply Chain: DEMATEL-DANP Based Approach”, Management of Environmental Quality, 2022, doi: https://doi.org/10.1108/MEQ-03-2022-0088 (ESCI, Scopus, ABDC – C)
Anurag Barthwal, D. Acharya, D. Lohani, “Prediction and Analysis of Particulate Matter Concentrations (PM2.5 and PM10) using Machine Learning Techniques,” Journal of Ambient Intelligence and Humanized Computing, 2021, doi: https://doi.org/10.1007/s12652-021-03051-w (SCIE, Scopus)
Anurag Barthwal, D. Acharya, “An IoT based Sensing System for Modeling and Forecasting Urban Air Quality,” Wireless Personal Communications, Vol. 116, pp. 3503–3526, 2021, doi: https://doi.org/10.1007/s11277-020-07862-6 (SCIE, Scopus)
D. Lohani, Anurag Barthwal, D. Acharya, “Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics,” Journal of Reliable Intelligent Environments, Vol. 8, pp. 105-115, 2021, doi: https://doi.org/10.10
Anurag Barthwal, A. Goel, “Advancing Air Quality Prediction Models in Urban India: A Deep Learning Approach Integrating DCNN and LSTM Architectures for AQI Time-Series Classification,” Modeling Earth Systems and Environment, 2024, doi: https://doi.org/10.1007/s40808-023-01934-9 (ESCI, Scopus).
P. Rawat, Anurag Barthwal, “Real Time Landslide Monitoring using IoT, and Machine Learning with Cloud Integration: LANDSLIDE-MONITOR,” Environmental Earth Sciences, 2024. doi: https://doi.org/10.1007/s12665-024-11526-0 (SCIE, Scopus)
Anurag Barthwal, S. Avikal, C. Prakash, “Machine Learning-based Prediction Models for Electoral Outcomes in India: A Comparative Analysis of Exit Polls from 2014-2021,” Quality & Quantity, 2024, doi: https://doi.org/10.1007/s11135-024-01937-3 (ABDC – B, Scopus).
M. Nigam, Anurag Barthwal, S. Avikal, M. Ram, “An Integrated BWM And PIV Approach for Vendor Selection Methodology For Predictive Maintenance 4.0 In Chemical Fertilizer Industry,” International Journal of System Assurance Engineering and Management, 2024. (accepted) (ESCI, Scopus).
A. Gupta, Anurag Barthwal, H. Vardhan and A. Parihar, “Evolutionary study of distributed authentication protocols and its integration to UAV-assisted FANET,” Multimedia Tools and Applications, doi: https://doi.org/10.1007/s11042-023-15197-0 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, D. Acharya, “An IoT-based system for monitoring and forecasting of flash floods in real-time,” Journal of Earth System Science, doi: https://doi.org/10.1007/s12040-023-02172-4 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, S. Avikal, G. Singh, “FSAS: An IoT-based Security System for Crop Field Storage,” International Journal of Distributed Sensor Networks, vol. 2023, Article ID 2367167, doi: https://doi.org/10.1155/2023/2367167 (SCIE, Scopus)
S. Avikal, R. Majila, Anurag Barthwal, “COVID-19: A Kano Model and AHP Based Classification of Preventive Activities Under Fuzzy Environment,” International Journal of Quality & Reliability Management, doi: https://doi.org/10.1108/IJQRM-08-2022-0243 (ESCI, ABDC – B, Scopus Q2)
Anurag Barthwal, “Virtualization Technology in Cloud Computing Environment,” Madhya Pradesh Journal of Social Sciences, ISSN: 0973-855X, Vol. 28, No.1, 2023. (UGC CARE)
C. Prakash, Anurag Barthwal, D. Acharya, “FLOODWALL: A Real Time Flash Flood Monitoring and Forecasting System Using IoT,” IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 2022, doi: https://doi.org/10.1109/JSEN.2022.3223671 (SCIE, Scopus)
Anurag Barthwal, “A Markov Chains Based IoT System for Monitoring And Analysis of Urban Air Quality,” Environmental Monitoring and Assessment, 195, 235, 2022, doi: https://doi.org/10.1007/s10661-022-10857-4 (SCIE / PubMed, Scopus)
Anurag Barthwal, D. Acharya, “Perform
Anurag Barthwal, A. Goel, “Advancing Air Quality Prediction Models in Urban India: A Deep Learning Approach Integrating DCNN and LSTM Architectures for AQI Time-Series Classification,” Modeling Earth Systems and Environment, 2024, doi: https://doi.org/10.1007/s40808-023-01934-9 (ESCI, Scopus).
P. Rawat, Anurag Barthwal, “Real Time Landslide Monitoring using IoT, and Machine Learning with Cloud Integration: LANDSLIDE-MONITOR,” Environmental Earth Sciences, 2024. doi: https://doi.org/10.1007/s12665-024-11526-0 (SCIE, Scopus)
Anurag Barthwal, S. Avikal, C. Prakash, “Machine Learning-based Prediction Models for Electoral Outcomes in India: A Comparative Analysis of Exit Polls from 2014-2021,” Quality & Quantity, 2024, doi: https://doi.org/10.1007/s11135-024-01937-3 (ABDC – B, Scopus).
M. Nigam, Anurag Barthwal, S. Avikal, M. Ram, “An Integrated BWM And PIV Approach for Vendor Selection Methodology For Predictive Maintenance 4.0 In Chemical Fertilizer Industry,” International Journal of System Assurance Engineering and Management, 2024. (accepted) (ESCI, Scopus).
A. Gupta, Anurag Barthwal, H. Vardhan and A. Parihar, “Evolutionary study of distributed authentication protocols and its integration to UAV-assisted FANET,” Multimedia Tools and Applications, doi: https://doi.org/10.1007/s11042-023-15197-0 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, D. Acharya, “An IoT-based system for monitoring and forecasting of flash floods in real-time,” Journal of Earth System Science, doi: https://doi.org/10.1007/s12040-023-02172-4 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, S. Avikal, G. Singh, “FSAS: An IoT-based Security System for Crop Field Storage,” International Journal of Distributed Sensor Networks, vol. 2023, Article ID 2367167, doi: https://doi.org/10.1155/2023/2367167 (SCIE, Scopus)
S. Avikal, R. Majila, Anurag Barthwal, “COVID-19: A Kano Model and AHP Based Classification of Preventive Activities Under Fuzzy Environment,” International Journal of Quality & Reliability Management, doi: https://doi.org/10.1108/IJQRM-08-2022-0243 (ESCI, ABDC – B, Scopus Q2)
Anurag Barthwal, “Virtualization Technology in Cloud Computing Environment,” Madhya Pradesh Journal of Social Sciences, ISSN: 0973-855X, Vol. 28, No.1, 2023. (UGC CARE)
C. Prakash, Anurag Barthwal, D. Acharya, “FLOODWALL: A Real Time Flash Flood Monitoring and Forecasting System Using IoT,” IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 2022, doi: https://doi.org/10.1109/JSEN.2022.3223671 (SCIE, Scopus)
Anurag Barthwal, “A Markov Chains Based IoT System for Monitoring And Analysis of Urban Air Quality,” Environmental Monitoring and Assessment, 195, 235, 2022, doi: https://doi.org/10.1007/s10661-022-10857-4 (SCIE / PubMed, Scopus)
Anurag Barthwal, D. Acharya, “Performance Analysis of Sensing based Extreme Value Models for Urban Air Pollution Peaks,” Modeling Earth Systems and Environment, Vol. 8, pp. 4149–4163, 2022, doi: https://doi.org/10.1007/s40808-022-01349-y (ESCI, Scopus)
Anurag Barthwal, K. Sharma, “Analysis and Prediction of Urban Ambient and Surface Temperatures using Internet of Things, International Journal of System Assurance Engineering and Management, Vol. 13, pp. 516–532, 2022, doi: https://doi.org/10.1007/s13198-021-01502-3 (ESCI, Scopus)
S. Avikal, R. Pant, Anurag Barthwal, “Factors Implementing Sustainable Circular Economy in Agro- Produce Supply Chain: DEMATEL-DANP Based Approach”, Management of Environmental Quality, 2022, doi: https://doi.org/10.1108/MEQ-03-2022-0088 (ESCI, Scopus, ABDC – C)
Anurag Barthwal, D. Acharya, D. Lohani, “Prediction and Analysis of Particulate Matter Concentrations (PM2.5 and PM10) using Machine Learning Techniques,” Journal of Ambient Intelligence and Humanized Computing, 2021, doi: https://doi.org/10.1007/s12652-021-03051-w (SCIE, Scopus)
Anurag Barthwal, D. Acharya, “An IoT based Sensing System for Modeling and Forecasting Urban Air Quality,” Wireless Personal Communications, Vol. 116, pp. 3503–3526, 2021, doi: https://doi.org/10.1007/s11277-020-07862-6 (SCIE, Scopus)
D. Lohani, Anurag Barthwal, D. Acharya, “Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics,” Journal of Reliable Intelligent Environments, Vol. 8, pp. 105-115, 2021, doi: https://doi.org/10.1007/s40860-021-00137-2 (Scopus)
Anurag Barthwal, D. Acharya, “Extreme Value Analysis of Urban Air Quality using Internet of Things,” International Journal of Next-Generation Computing, Vol. 10, No. 1, 2019, ISSN 2229- 4678/0976-5034, doi: http://dx.doi.org/10.47164/ijngc.v10i1.471 (ESCI)
S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification using Spectral Features and Gaussian Mixture Models,” Procedia Engineering, Vol. 38, Pages 3892-3899, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.447 (Scopus)
S. Koolagudi, S. Devliyal, Anurag Barth
Anurag Barthwal, A. Goel, “Advancing Air Quality Prediction Models in Urban India: A Deep Learning Approach Integrating DCNN and LSTM Architectures for AQI Time-Series Classification,” Modeling Earth Systems and Environment, 2024, doi: https://doi.org/10.1007/s40808-023-01934-9 (ESCI, Scopus).
P. Rawat, Anurag Barthwal, “Real Time Landslide Monitoring using IoT, and Machine Learning with Cloud Integration: LANDSLIDE-MONITOR,” Environmental Earth Sciences, 2024. doi: https://doi.org/10.1007/s12665-024-11526-0 (SCIE, Scopus)
Anurag Barthwal, S. Avikal, C. Prakash, “Machine Learning-based Prediction Models for Electoral Outcomes in India: A Comparative Analysis of Exit Polls from 2014-2021,” Quality & Quantity, 2024, doi: https://doi.org/10.1007/s11135-024-01937-3 (ABDC – B, Scopus).
M. Nigam, Anurag Barthwal, S. Avikal, M. Ram, “An Integrated BWM And PIV Approach for Vendor Selection Methodology For Predictive Maintenance 4.0 In Chemical Fertilizer Industry,” International Journal of System Assurance Engineering and Management, 2024. (accepted) (ESCI, Scopus).
A. Gupta, Anurag Barthwal, H. Vardhan and A. Parihar, “Evolutionary study of distributed authentication protocols and its integration to UAV-assisted FANET,” Multimedia Tools and Applications, doi: https://doi.org/10.1007/s11042-023-15197-0 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, D. Acharya, “An IoT-based system for monitoring and forecasting of flash floods in real-time,” Journal of Earth System Science, doi: https://doi.org/10.1007/s12040-023-02172-4 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, S. Avikal, G. Singh, “FSAS: An IoT-based Security System for Crop Field Storage,” International Journal of Distributed Sensor Networks, vol. 2023, Article ID 2367167, doi: https://doi.org/10.1155/2023/2367167 (SCIE, Scopus)
S. Avikal, R. Majila, Anurag Barthwal, “COVID-19: A Kano Model and AHP Based Classification of Preventive Activities Under Fuzzy Environment,” International Journal of Quality & Reliability Management, doi: https://doi.org/10.1108/IJQRM-08-2022-0243 (ESCI, ABDC – B, Scopus Q2)
Anurag Barthwal, “Virtualization Technology in Cloud Computing Environment,” Madhya Pradesh Journal of Social Sciences, ISSN: 0973-855X, Vol. 28, No.1, 2023. (UGC CARE)
C. Prakash, Anurag Barthwal, D. Acharya, “FLOODWALL: A Real Time Flash Flood Monitoring and Forecasting System Using IoT,” IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 2022, doi: https://doi.org/10.1109/JSEN.2022.3223671 (SCIE, Scopus)
Anurag Barthwal, “A Markov Chains Based IoT System for Monitoring And Analysis of Urban Air Quality,” Environmental Monitoring and Assessment, 195, 235, 2022, doi: https://doi.org/10.1007/s10661-022-10857-4 (SCIE / PubMed, Scopus)
Anurag Barthwal, D. Acharya, “Performance Analysis of Sensing based Extreme Value Models for Urban Air Pollution Peaks,” Modeling Earth Systems and Environment, Vol. 8, pp. 4149–4163, 2022, doi: https://doi.org/10.1007/s40808-022-01349-y (ESCI, Scopus)
Anurag Barthwal, K. Sharma, “Analysis and Prediction of Urban Ambient and Surface Temperatures using Internet of Things, International Journal of System Assurance Engineering and Management, Vol. 13, pp. 516–532, 2022, doi: https://doi.org/10.1007/s13198-021-01502-3 (ESCI, Scopus)
S. Avikal, R. Pant, Anurag Barthwal, “Factors Implementing Sustainable Circular Economy in Agro- Produce Supply Chain: DEMATEL-DANP Based Approach”, Management of Environmental Quality, 2022, doi: https://doi.org/10.1108/MEQ-03-2022-0088 (ESCI, Scopus, ABDC – C)
Anurag Barthwal, D. Acharya, D. Lohani, “Prediction and Analysis of Particulate Matter Concentrations (PM2.5 and PM10) using Machine Learning Techniques,” Journal of Ambient Intelligence and Humanized Computing, 2021, doi: https://doi.org/10.1007/s12652-021-03051-w (SCIE, Scopus)
Anurag Barthwal, D. Acharya, “An IoT based Sensing System for Modeling and Forecasting Urban Air Quality,” Wireless Personal Communications, Vol. 116, pp. 3503–3526, 2021, doi: https://doi.org/10.1007/s11277-020-07862-6 (SCIE, Scopus)
D. Lohani, Anurag Barthwal, D. Acharya, “Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics,” Journal of Reliable Intelligent Environments, Vol. 8, pp. 105-115, 2021, doi: https://doi.org/10.1007/s40860-021-00137-2 (Scopus)
Anurag Barthwal, D. Acharya, “Extreme Value Analysis of Urban Air Quality using Internet of Things,” International Journal of Next-Generation Computing, Vol. 10, No. 1, 2019, ISSN 2229- 4678/0976-5034, doi: http://dx.doi.org/10.47164/ijngc.v10i1.471 (ESCI)
S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification using Spectral Features and Gaussian Mixture Models,” Procedia Engineering, Vol. 38, Pages 3892-3899, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.447 (Scopus)
S. Koolagudi, S. Devliyal, Anurag Barthwal, K. S. Rao, “Recognition of Emotions from Speech using Excitation Source Features, Procedia Engineering, Vol. 38, Pages 3409-3417, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.394 (Scopus)wal, K. S. Rao, “Recognition of Emotions from Speech using Excitation Source Features, Procedia Engineering, Vol. 38, Pages 3409-3417, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.394 (Scopus)
ance Analysis of Sensing based Extreme Value Models for Urban Air Pollution Peaks,” Modeling Earth Systems and Environment, Vol. 8, pp. 4149–4163, 2022, doi: https://doi.org/10.1007/s40808-022-01349-y (ESCI, Scopus)
Anurag Barthwal, K. Sharma, “Analysis and Prediction of Urban Ambient and Surface Temperatures using Internet of Things, International Journal of System Assurance Engineering and Management, Vol. 13, pp. 516–532, 2022, doi: https://doi.org/10.1007/s13198-021-01502-3 (ESCI, Scopus)
S. Avikal, R. Pant, Anurag Barthwal, “Factors Implementing Sustainable Circular Economy in Agro- Produce Supply Chain: DEMATEL-DANP Based Approach”, Management of Environmental Quality, 2022, doi: https://doi.org/10.1108/MEQ-03-2022-0088 (ESCI, Scopus, ABDC – C)
Anurag Barthwal, D. Acharya, D. Lohani, “Prediction and Analysis of Particulate Matter Concentrations (PM2.5 and PM10) using Machine Learning Techniques,” Journal of Ambient Intelligence and Humanized Computing, 2021, doi: https://doi.org/10.1007/s12652-021-03051-w (SCIE, Scopus)
Anurag Barthwal, D. Acharya, “An IoT based Sensing System for Modeling and Forecasting Urban Air Quality,” Wireless Personal Communications, Vol. 116, pp. 3503–3526, 2021, doi: https://doi.org/10.1007/s11277-020-07862-6 (SCIE, Scopus)
D. Lohani, Anurag Barthwal, D. Acharya, “Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics,” Journal of Reliable Intelligent Environments, Vol. 8, pp. 105-115, 2021, doi: https://doi.org/10.1007/s40860-021-00137-2 (Scopus)
Anurag Barthwal, D. Acharya, “Extreme Value Analysis of Urban Air Quality using Internet of Things,” International Journal of Next-Generation Computing, Vol. 10, No. 1, 2019, ISSN 2229- 4678/0976-5034, doi: http://dx.doi.org/10.47164/ijngc.v10i1.471 (ESCI)
S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification using Spectral Features and Gaussian Mixture Models,” Procedia Engineering, Vol. 38, Pages 3892-3899, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.447 (Scopus)
S. Koolagudi, S. Devliyal, Anurag Barthwal, K. S. Rao, “Recognition of Emotions from Speech using Excitation Source Features, Procedia Engineering, Vol. 38, Pages 3409-3417, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.394 (Scopus)07/s40860-021-00137-2 (Scopus)
Anurag Barthwal, D. Acharya, “Extreme Value Analysis of Urban Air Quality using Internet of Things,” International Journal of Next-Generation Computing, Vol. 10, No. 1, 2019, ISSN 2229- 4678/0976-5034, doi: http://dx.doi.org/10.47164/ijngc.v10i1.471 (ESCI)
S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification using Spectral Features and Gaussian Mixture Models,” Procedia Engineering, Vol. 38, Pages 3892-3899, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.447 (Scopus)
S. Koolagudi, S. Devliyal, Anurag Barthwal, K. S. Rao, “Recognition of Emotions from Speech using Excitation Source Features, Procedia Engineering, Vol. 38, Pages 3409-3417, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.394 (Scopus)agement, 2024. (accepted) (ESCI, Scopus).
A. Gupta, Anurag Barthwal, H. Vardhan and A. Parihar, “Evolutionary study of distributed authentication protocols and its integration to UAV-assisted FANET,” Multimedia Tools and Applications, doi: https://doi.org/10.1007/s11042-023-15197-0 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, D. Acharya, “An IoT-based system for monitoring and forecasting of flash floods in real-time,” Journal of Earth System Science, doi: https://doi.org/10.1007/s12040-023-02172-4 (SCIE, Scopus)
C. Prakash, Anurag Barthwal, S. Avikal, G. Singh, “FSAS: An IoT-based Security System for Crop Field Storage,” International Journal of Distributed Sensor Networks, vol. 2023, Article ID 2367167, doi: https://doi.org/10.1155/2023/2367167 (SCIE, Scopus)
S. Avikal, R. Majila, Anurag Barthwal, “COVID-19: A Kano Model and AHP Based Classification of Preventive Activities Under Fuzzy Environment,” International Journal of Quality & Reliability Management, doi: https://doi.org/10.1108/IJQRM-08-2022-0243 (ESCI, ABDC – B, Scopus Q2)
Anurag Barthwal, “Virtualization Technology in Cloud Computing Environment,” Madhya Pradesh Journal of Social Sciences, ISSN: 0973-855X, Vol. 28, No.1, 2023. (UGC CARE)
C. Prakash, Anurag Barthwal, D. Acharya, “FLOODWALL: A Real Time Flash Flood Monitoring and Forecasting System Using IoT,” IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 2022, doi: https://doi.org/10.1109/JSEN.2022.3223671 (SCIE, Scopus)
Anurag Barthwal, “A Markov Chains Based IoT System for Monitoring And Analysis of Urban Air Quality,” Environmental Monitoring and Assessment, 195, 235, 2022, doi: https://doi.org/10.1007/s10661-022-10857-4 (SCIE / PubMed, Scopus)Anurag Barthwal, D. Acharya, “Performance Analysis of Sensing based Extreme Value Models for Urban Air Pollution Peaks,” Modeling Earth Systems and Environment, Vol. 8, pp. 4149–4163, 2022, doi: https://doi.org/10.1007/s40808-022-01349-y (ESCI, Scopus)
Anurag Barthwal, K. Sharma, “Analysis and Prediction of Urban Ambient and Surface Temperatures using Internet of Things, International Journal of System Assurance Engineering and Management, Vol. 13, pp. 516–532, 2022, doi: https://doi.org/10.1007/s13198-021-01502-3 (ESCI, Scopus)
S. Avikal, R. Pant, Anurag Barthwal, “Factors Implementing Sustainable Circular Economy in Agro- Produce Supply Chain: DEMATEL-DANP Based Approach”, Management of Environmental Quality, 2022, doi: https://doi.org/10.1108/MEQ-03-2022-0088 (ESCI, Scopus, ABDC – C)
Anurag Barthwal, D. Acharya, D. Lohani, “Prediction and Analysis of Particulate Matter Concentrations (PM2.5 and PM10) using Machine Learning Techniques,” Journal of Ambient Intelligence and Humanized Computing, 2021, doi: https://doi.org/10.1007/s12652-021-03051-w (SCIE, Scopus)
Anurag Barthwal, D. Acharya, “An IoT based Sensing System for Modeling and Forecasting Urban Air Quality,” Wireless Personal Communications, Vol. 116, pp. 3503–3526, 2021, doi: https://doi.org/10.1007/s11277-020-07862-6 (SCIE, Scopus)
D. Lohani, Anurag Barthwal, D. Acharya, “Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics,” Journal of Reliable Intelligent Environments, Vol. 8, pp. 105-115, 2021, doi: https://doi.org/10.1007/s40860-021-00137-2 (Scopus)
Anurag Barthwal, D. Acharya, “Extreme Value Analysis of Urban Air Quality using Internet of Things,” International Journal of Next-Generation Computing, Vol. 10, No. 1, 2019, ISSN 2229- 4678/0976-5034, doi: http://dx.doi.org/10.47164/ijngc.v10i1.471 (ESCI)
S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification using Spectral Features and Gaussian Mixture Models,” Procedia Engineering, Vol. 38, Pages 3892-3899, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.447 (Scopus)
S. Koolagudi, S. Devliyal, Anurag Barthwal, K. S. Rao, “Recognition of Emotions from Speech using Excitation Source Features, Procedia Engineering, Vol. 38, Pages 3409-3417, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.394 (Scopus)
(ABDC – B, Scopus). Canberra, Australia, 2023, pp. 1-6, doi: 10.1109/TENSYMP55890.2023.10223648. (WoS, Scopus)
Anurag Barthwal, A. Jain, B. Dhyani, “A Survey of Body Sensor Network Security and Authentication Schemes,” AIP Conference Proceedings, vol. 2481, 020005, 2022, doi: https://doi.org/10.1063/5.0103743 (Scopus)
B. Dhyani, A. Jain, Anurag Barthwal, M. Kumar, “The Prediction of Closing Prices of Company Stocks using Random Forests and Artificial Neural Networks,” AIP Conference Proceedings, vol. 2481, 020016, 2022, doi: https://doi.org/10.1063/5.0103754 (Scopus)
B. Dhyani, A. Jain, M. Kumar, Anurag Barthwal, “Analysis and Prediction of Closing Price of Commodity Index using Auto Regressive Integrated Moving Averages (ARIMA) Model,” AIP Conference Proceedings, vol. 2481, 020015, 2022, doi: https://doi.org/10.1063/5.0103749 (Scopus)
S. Avikal, K. Sharma, A. Barthwal et al., “Estimation of age from speech using excitation source features,” Materials Today: Proceedings, 2021, https://doi.org/10.1016/j.matpr.2021.02.159 (WoS, Scopus)
K. Rastogi, Anurag Barthwal, D. Lohani, D. Acharya, “An IoT-based Discrete Time Markov Chain Model for Analysis and Prediction of Indoor Air Quality Index,” 2020 IEEE Sensors Applications Symposium (SAS), Kuala Lumpur, Malaysia, 2020, pp. 1-6, doi: 10.1109/SAS48726.2020.9220077 (WoS, Scopus)
N. Kumar, Anurag Barthwal, D. Lohani, D. Acharya, “Modeling IoT Enabled Automotive System for Accident Detection and Classification,” 2020 IEEE Sensors Applications Symposium (SAS), Kuala Lumpur, Malaysia, 2020, pp. 1-6, doi: 10.1109/SAS48726.2020.9220030 (WoS, Scopus)
N. Kumar, Anurag Barthwal, D. Lohani, D. Acharya, “Vehicle Fall Severity Modeling using IoT and K- Nearest Neighbor Algorithm,” 2020 International Conference on COMmunication Systems & NETworkS (COMSNETS), Bengaluru, India, 2020, pp. 105-109, doi: 10.1109/COMSNETS48256.2020 (WoS, Scopus)
Anurag Barthwal, D. Acharya, D. Lohani, “IoT System based Forecasting and Modeling Exceedance Probability and Return Period of Air Quality using Extreme Value Distribution,” 2019 IEEE Sensors Applications Symposium (SAS), 2019, Sophia Antipolis, France, 2019, pp. 1-6, doi: 10.1109/SAS.2019.8706035 (WoS, Scopus)
K. Rastogi, Anurag Barthwal, D. Lohani, “AQCI: An IoT Based Air Quality and Thermal Comfort Model using Fuzzy Inference,” 2019 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), Goa, India, 2019, pp. 1-6, doi: 10.1109/ANTS47819.2019.9118026 (WoS, Scopus)
N. Kumar, Anurag Barthwal, D. Acharya, “Modeling Vehicle Collision Events using Internet of Things,” 2019 IEEE 16th India Council International Conference (INDICON), Rajkot, India, 2019, pp. 1-4, doi: 10.1109/INDICON47234.2019.9030337 (WoS, Scopus)
D. Lohani, Anurag Barthwal, D. Acharya, “Predictive Modelling of In-Vehicle CO2 Concentration Using Sensor Data Analytics,” 2018 IEEE SENSORS, IIT Delhi, India, 2018, pp. 1-4, doi: 10.1109/ICSENS.2018.8589883 (WoS, Scopus)
Anurag Barthwal, D. Acharya, “An Internet of Things System for Sensing, Analysis & Forecasting Urban Air Quality,” in 2018 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), 2018, pp. 1-6, IISC Bangalore, doi: 10.1109/CONECCT.2018.8482397 (WoS, Scopus)
T. Mittal, Anurag Barthwal, S. Koolagudi, “Age Approximation from Speech Using Gaussian Mixture Models,” 2013 International Conference on Advanced Computing, Networking and Security (ADCONS), Mangalore, India, 2013, pp. 74-78, doi: 10.1109/ADCONS.2013.43 (WoS, Scopus) [Best paper award at ADCONS’ 2014, NIT Surathkal]
S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification from Speech Using Gaussian Mixture Models,” Contemporary Computing (IC3), 2012, Communications in Computer and Information Science, Vol. 306, Pages 250-261, Springer, doi: https://doi.org/10.1007/978-3-642- 32129-0_28 (WoS, Scopus)
S. Thakur, M.K. Singh, Anurag Barthwal, “Telephonic Vowel Recognition in the Case of English Vowels,” Contemporary Computing (IC3 2012), Communications in Computer and Information Science,Vol. 306, Springer, Berlin, doi: https://doi.org/10.1007/978-3-642-32129-0_54 (WoS, Scopus)
S. Koolagudi, S. Thakur, Anurag Barthwal et al., “Vowel Recognition from Telephonic Speech Using MFCCs and Gaussian Mixture Models,” Eco-friendly Computing and Communication Systems (ICECCS 2012), Communications in Computer and Information Science, Vol. 305, Springer, Berlin, https://doi.org/10.1007/978-3-642-32112-2_21 (WoS, Scopus)
Journal of Ambient Intelligence and Humanized Computing, 2021, doi: https://doi.org/10.1007/s12652-021-03051-w (SCIE, Scopus)
S. Koolagudi, S. Devliyal, Anurag Barthwal, K. S. Rao, “Emotion Recognition from Semi Natural Speech Using Artificial Neural Networks and Excitation Source Features, Contemporary Computing. IC32012, Communications in Computer and Information Science, Vol. 306, Springer, Berlin, doi: https://doi.org/10.1007/978-3-642-32129-0_30 (WoS, Scopus) - Anurag Barthwal, D. Acharya, “An IoT based Sensing System for Modeling and Forecasting Urban Air Quality,” Wireless Personal Communications, Vol. 116, pp. 3503–3526, 2021, doi: https://doi.org/10.1007/s11277-020-07862-6 (SCIE, Scopus)
- D. Lohani, Anurag Barthwal, D. Acharya, “Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics,” Journal of Reliable Intelligent Environments, Vol. 8, pp. 105-115, 2021, doi: https://doi.org/10.1007/s40860-021-00137-2 (Scopus)
- Anurag Barthwal, D. Acharya, “Extreme Value Analysis of Urban Air Quality using Internet of Things,” International Journal of Next-Generation Computing, Vol. 10, No. 1, 2019, ISSN 2229- 4678/0976-5034, doi: http://dx.doi.org/10.47164/ijngc.v10i1.471 (ESCI)
- S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification using Spectral Features and Gaussian Mixture Models,” Procedia Engineering, Vol. 38, Pages 3892-3899, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.447 (Scopus)
- S. Koolagudi, S. Devliyal, Anurag Barthwal, K. S. Rao, “Recognition of Emotions from Speech using Excitation Source Features, Procedia Engineering, Vol. 38, Pages 3409-3417, 2012, doi: https://doi.org/10.1016/j.proeng.2012.06.394 (Scopus)
- (ABDC – B, Scopus). Canberra, Australia, 2023, pp. 1-6, doi: 10.1109/TENSYMP55890.2023.10223648. (WoS, Scopus)
- Anurag Barthwal, A. Jain, B. Dhyani, “A Survey of Body Sensor Network Security and Authentication Schemes,” AIP Conference Proceedings, vol. 2481, 020005, 2022, doi: https://doi.org/10.1063/5.0103743 (Scopus)
- B. Dhyani, A. Jain, Anurag Barthwal, M. Kumar, “The Prediction of Closing Prices of Company Stocks using Random Forests and Artificial Neural Networks,” AIP Conference Proceedings, vol. 2481, 020016, 2022, doi: https://doi.org/10.1063/5.0103754 (Scopus)
- B. Dhyani, A. Jain, M. Kumar, Anurag Barthwal, “Analysis and Prediction of Closing Price of Commodity Index using Auto Regressive Integrated Moving Averages (ARIMA) Model,” AIP Conference Proceedings, vol. 2481, 020015, 2022, doi: https://doi.org/10.1063/5.0103749 (Scopus)
- S. Avikal, K. Sharma, A. Barthwal et al., “Estimation of age from speech using excitation source features,” Materials Today: Proceedings, 2021, https://doi.org/10.1016/j.matpr.2021.02.159 (WoS, Scopus)
- K. Rastogi, Anurag Barthwal, D. Lohani, D. Acharya, “An IoT-based Discrete Time Markov Chain Model for Analysis and Prediction of Indoor Air Quality Index,” 2020 IEEE Sensors Applications Symposium (SAS), Kuala Lumpur, Malaysia, 2020, pp. 1-6, doi: 10.1109/SAS48726.2020.9220077 (WoS, Scopus)
- N. Kumar, Anurag Barthwal, D. Lohani, D. Acharya, “Modeling IoT Enabled Automotive System for Accident Detection and Classification,” 2020 IEEE Sensors Applications Symposium (SAS), Kuala Lumpur, Malaysia, 2020, pp. 1-6, doi: 10.1109/SAS48726.2020.9220030 (WoS, Scopus)
- N. Kumar, Anurag Barthwal, D. Lohani, D. Acharya, “Vehicle Fall Severity Modeling using IoT and K- Nearest Neighbor Algorithm,” 2020 International Conference on COMmunication Systems & NETworkS (COMSNETS), Bengaluru, India, 2020, pp. 105-109, doi: 10.1109/COMSNETS48256.2020 (WoS, Scopus)
- Anurag Barthwal, D. Acharya, D. Lohani, “IoT System based Forecasting and Modeling Exceedance Probability and Return Period of Air Quality using Extreme Value Distribution,” 2019 IEEE Sensors Applications Symposium (SAS), 2019, Sophia Antipolis, France, 2019, pp. 1-6, doi: 10.1109/SAS.2019.8706035 (WoS, Scopus)
- K. Rastogi, Anurag Barthwal, D. Lohani, “AQCI: An IoT Based Air Quality and Thermal Comfort Model using Fuzzy Inference,” 2019 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), Goa, India, 2019, pp. 1-6, doi: 10.1109/ANTS47819.2019.9118026 (WoS, Scopus)
- N. Kumar, Anurag Barthwal, D. Acharya, “Modeling Vehicle Collision Events using Internet of Things,” 2019 IEEE 16th India Council International Conference (INDICON), Rajkot, India, 2019, pp. 1-4, doi: 10.1109/INDICON47234.2019.9030337 (WoS, Scopus)
- D. Lohani, Anurag Barthwal, D. Acharya, “Predictive Modelling of In-Vehicle CO2 Concentration Using Sensor Data Analytics,” 2018 IEEE SENSORS, IIT Delhi, India, 2018, pp. 1-4, doi: 10.1109/ICSENS.2018.8589883 (WoS, Scopus)
- Anurag Barthwal, D. Acharya, “An Internet of Things System for Sensing, Analysis & Forecasting Urban Air Quality,” in 2018 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), 2018, pp. 1-6, IISC Bangalore, doi: 10.1109/CONECCT.2018.8482397 (WoS, Scopus)
- T. Mittal, Anurag Barthwal, S. Koolagudi, “Age Approximation from Speech Using Gaussian Mixture Models,” 2013 International Conference on Advanced Computing, Networking and Security (ADCONS), Mangalore, India, 2013, pp. 74-78, doi: 10.1109/ADCONS.2013.43 (WoS, Scopus) [Best paper award at ADCONS’ 2014, NIT Surathkal]
- S. Koolagudi, Anurag Barthwal, S. Devliyal, K. S. Rao, “Real Life Emotion Classification from Speech Using Gaussian Mixture Models,” Contemporary Computing (IC3), 2012, Communications in Computer and Information Science, Vol. 306, Pages 250-261, Springer, doi: https://doi.org/10.1007/978-3-642- 32129-0_28 (WoS, Scopus)
- S. Thakur, M.K. Singh, Anurag Barthwal, “Telephonic Vowel Recognition in the Case of English Vowels,” Contemporary Computing (IC3 2012), Communications in Computer and Information Science,Vol. 306, Springer, Berlin, doi: https://doi.org/10.1007/978-3-642-32129-0_54 (WoS, Scopus)
- S. Koolagudi, S. Devliyal, Anurag Barthwal, K. S. Rao, “Emotion Recognition from Semi Natural Speech Using Artificial Neural Networks and Excitation Source Features, Contemporary Computing. IC32012, Communications in Computer and Information Science, Vol. 306, Springer, Berlin, doi: https://doi.org/10.1007/978-3-642-32129-0_30 (WoS, Scopus)
- S. Koolagudi, S. Thakur, Anurag Barthwal et al., “Vowel Recognition from Telephonic Speech Using MFCCs and Gaussian Mixture Models,” Eco-friendly Computing and Communication Systems (ICECCS 2012), Communications in Computer and Information Science, Vol. 305, Springer, Berlin, https://doi.org/10.1007/978-3-642-32112-2_21 (WoS, Scopus)
- N. Kumar, Anurag Barthwal, S. Mishra, “Generative AI Unleashed: A Multi-domain Journey of Successful Implementations of Large Language Models,” Textual Intelligence: Large Language Models and Their Real-World Applications, Wiley-Scrivener Publishing, 2024 (accepted). (Scopus)
- B. Dhyani, M. Kumar, Anurag Barthwal, “Analysis and Prediction of Daily Closing Price of Commodity Index Using Auto Regressive Integrated Moving Averages”, Computational Intelligence-based Time Series Analysis, Taylor & Francis, 2022. http://dx.doi.org/10.1201/9781003337676-5
- Anurag Barthwal, S. Avikal, “Time-Series Analysis of COVID-19 Confirmed Cases In Select Countries,” Recent Advances in Time Series Forecasting, Taylor & Francis, 2021, doi: 10.1201/9781003102281-3
- N. Kumar, Anurag Barthwal, D. Acharya, “Modeling Vehicle Fall Detection Event Using Internet of Things,” Advances in Signal Processing and Intelligent Recognition Systems (SIRS 2019), Communications in Computer and Information Science, Vol. 1209, Springer, 2019, https://doi.org/10.1007/978-981-15-4828-4_19 (WoS, Scopus)
Patents
- C. Prakash, Anurag Barthwal, D. Acharya. An IoT enabled Multimodal and End-to-End Flash Flood Monitoring System, Indian Patent Office. Patent No. 490990, Application No. 202211035930. Link: https://bit.ly/3UqgCkh (granted on 28-12-2023)
- P. Rawat, Anurag Barthwal. A Landslide Monitoring, Analysis and Prediction System (LMAPS), Indian Patent Office, Application No. 202411046407. (published on 05-07-2024)
S. No. | FDP / Workshop | Duration | Organizing Institution |
1 | Ministry of Education sponsored Online Faculty Induction Programme | 03 August 2021 to 02 September 2021. | Teaching Learning Centre, Tezpur University |
2 | AICTE Training And Learning (ATAL) Academy Online FDP on “Artificial Intelligence”. | 21-11-2020 to 25-11-2020. | IIIT Naya Raipur |
3 | ATAL Academy Online FDP on “Speech Processing using Deep Learning”. | 28-12-2020 to 01-01-2021 | IIT Dharwad |
4 | ATAL Academy Online Elementary FDP on “Emerging Technologies for Sustainable Environmental Management” | 31/05/2021 to 04/06/2021 | NIT Calicut. |
5 | Second International Workshop on “Advanced Topics in Mathematics- 2021” | October 08 – 12, 2021. | Centre for Applied Mathematics, IIIT Naya Raipur |
6 | One Week Faculty Development Program on “SHAPING FUTURE WITH DISRUPTIVE TECHNOLOGIES IN IT”. | 16th-20th August, 2021 | AMITY UNIVERSITY UTTAR PRADESH, NOIDA. |
7 | ATAL Academy Online FDP on “GIS & Remote Sensing” | 04-01-2021 to 08-01-2021 | University College of Engineering, JNTU Kakinada. |
8 | ATAL Academy Online Elementary FDP on “Mathematical Tools and Recent Advances in Applied Mathematics (MTRAAM)” | 16/08/2021 to 20/08/2021 | Madan Mohan Malaviya University of Technology, Gorakhpur. |
9 | ATAL Academy Online FDP on “Data Science and Machine Learning” | 17-11-2020 to 21-11-2020 | KIET GROUP OF INSTITUTIONS |
10 | ATAL Academy Online FDP on “Internet of Things (IoT)” | 07-12-2020 to 11-12-2020 | Sridevi Women’s Engineering College |
11 | ATAL Academy Online FDP on “Data Sciences” | 18-01-2021 to 22-01-2021 | Saintgits College Of Engineering |
12 | ATAL Academy Online Elementary FDP on “Recent Trends and opportunities for Research in Electronics and Computer Science Engineering” | 24-05-2021 to 28-05-2021 | Goa College of Engineering |
13 | ATAL Online Elementary FDP on “Leadership and Excellence” | 13/07/2021 to 17/07/2021 | Nitte Meenakshi Institute of Technology |
14 | ATAL Academy Online FDP on “ARTIFICIAL INTELLIGENCE AND GEOSPATIAL TECHNOLOGY IN SURVEILLANCE FOR INFECTIOUS DISEASE” | 23/08/2021 to 27/08/2021 | KCG College of Technology |
15 | ATAL Academy Online Elementary FDP on “Data Science in IoT” | 21/06/2021 to 25/06/2021 | Kalinga Institute of Industrial Technology |
16 | ATAL Academy Online Elementary FDP on “COMBATING CANCER: ROLE OF ML TECHNIQUES IN PREVENTION AND TREATMENTS” | 07/06/2021 to 11/06/2021 | KIT-Kalaignarkarunanidhi Institute of Technology, Coimbatore |
17 | ATAL Academy Online FDP Artificial Intelligence” | 18/01/2021 to 22/01/2021 | College of Engineering and Technology, IILM Academy of Higher Learning |
18 | ATAL Online Elementary FDP on “Role of Mathematics in Future Technologies” | 12/07/2021 to 16/07/2021 | Stanley College of Engineering and Technology for Women
|
Details of COURSERA/MOOC Courses Completed:
S. No. | Course Name | Awarded by | Year |
1. | Introduction to Data Science (IBM) | Coursera | S. No.
2022-23 |
2. | What is Data Science? | ||
3. | R Programming for Data Science | ||
4. | Data Analysis using R | ||
5. | SQL for Data Science with R | ||
6. | Getting Started with Python | ||
7. | Python for Data Science, AI and Development (IBM) | ||
8. | Python Data Structures | ||
9. | Data Science Methodology (IBM) | ||
10. | Tools for Data Science (IBM) | ||
11. | Data Analysis with Python (IBM) | ||
12. | Data Visualisation with Python (IBM) | ||
13. | Machine Learning with Python (IBM) |
(i) Conference Session Chair – IEEE International Conference on Advanced Computing & Emerging Technologies (ACET-2024) – Ajay Kumar Garg Engineering College, Ghaziabad, India. (August 24, 2024)
(ii) Academic Editor:
(1) PLOS ONE (https://journals.plos.org/plosone/static/editorial-board)
(2) Journal of Artificial Intelligence and Big Data:
https://www.scipublications.com/journal/index.php/jaibd/editors
(iii) Awards/ Achievements
- Outstanding Teacher Award, 2022 (DIT University).
- Received scholarship funded by Information Technology Research Academy (ITRA), Ministry of Electronics and IT, Government of India, as a participant in the Human Sense project, 2015-2018. Link: Human Sense – ITRA (digitalindiacorporation.in)
- Best paper award at ADCONS’2013, NIT Karnataka, 2013.
- Awarded Gold medal for securing first place in the M. Tech. program (all branches), Department of Computer Science and Engineering, Graphic Era University, 2012.