Dr. Rajesh P. Barnwal, SM'ACM, SM'IEEE
Dr. Rajesh P. Barnwal, SM'ACM, SM'IEEE
Pr. Scientist, AI & IoT Lab (CMERI), CSIR-India and Assoc. Professor, AcSIR/ Studied at IIT
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Cited by
Cited by
Global trends in pesticides: A looming threat and viable alternatives
A Sharma, A Shukla, K Attri, M Kumar, P Kumar, A Suttee, G Singh, ...
Ecotoxicology and Environmental Safety 201, 110812, 2020
Heartbeat message based misbehavior detection scheme for Vehicular Ad-hoc Networks
RP Barnwal, SK Ghosh
2012 International Conference on Connected Vehicles and Expo (Acceptance …, 2012
Doppler based speed estimation of vehicles using passive sensor
S Barnwal, R Barnwal, R Hegde, R Singh, B Raj
2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-4, 2013
Enhancing Reliability of Vehicular Participatory Sensing Network: A Bayesian Approach
RP Barnwal, N Ghosh, SK Ghosh, SK Das
IEEE International Conference on Smart Computing (SMARTCOMP 2016), 2016
CAT: Consensus-assisted trust estimation of MDS-equipped collaborators in vehicular ad-hoc network
TRV Krishna, RP Barnwal, SK Ghosh
Elsevier Vehicular Communications 2 (3), 150-157, 2015
UCGNet: wireless sensor network‐based active aquifer contamination monitoring and control system for underground coal gasification
RP Barnwal, S Bharti, S Misra, MS Obaidat
International Journal of Communication Systems 30 (1), e2852, 2017
Publish or Drop Traffic Event Alerts? Quality-aware Decision Making in Participatory Sensing-based Vehicular CPS
RP Barnwal, N Ghosh, SK Ghosh, S Das
ACM Transactions on Cyber-Physical Systems, 2019
PS-Sim: A framework for scalable data simulation and incentivization in participatory sensing-based smart city applications
RP Barnwal, N Ghosh, SK Ghosh, S Das
Pervasive and Mobile Computing, 2019
Bio-inspiring Cyber Security and Cloud Services: Trends and Innovations
AE Hassanien, TH Kim, J Kacprzyk, AI Awad
Springer 70, 479-495, 2014
Application of ground penetrating radar in placer mineral exploration for mapping subsurface sand layers: A case study
VJ Loveson, RP Barnwal, VK Singh, AR Gujar, GV Rajamanickam
Developmental planning of placer minerals, 71-79, 2005
MDS-Based Trust Estimation of Event Reporting Node in VANET
T Krishna, RP Barnwal, SK Ghosh
12th IEEE International Conference on Trust, Security and Privacy in …, 2013
PS-Sim: A Framework for Scalable Simulation of Participatory Sensing Data
RP Barnwal, N Ghosh, SK Ghosh, SK Das
4th IEEE International Conference on Smart Computing, Taormina, Sicily, Italy, 2018
KITE: An Efficient Scheme for Trust Estimation and Detection of Errant Nodes in Vehicular Cyber-Physical Systems
RP Barnwal, SK Ghosh
Journal of Security and Communication Networks, 2016
Explaining deep-learning models using gradient-based localization for reliable tea-leaves classifications
P Banerjee, S Banerjee, RP Barnwal
IEEE 2022 Fourth International Conference on Advances in Electronics …, 2022
Environmental impacts of coal mine fire during excavation of developed galleries by opencast method
NK Mohalik, RVK Singh, G Sural, RP Barnwal, J Pandey, VK Singh
Indian Min. Eng. J 33, 30-35, 2004
Methods and Metrics for Explaining Artificial Intelligence Models: A Review
P Banerjee, RP Barnwal
Explainable AI: Foundations, Methodologies and Applications, 61-88, 2022
GPR studies over the tsunami affected Karaikal beach, Tamil Nadu, South India.
VJ Loveson, AR Gujar, RP Barnwal, R Khare, GV Rajamanickam
Journal of Earth System Science 123 (6), 1375-1386, 2014
Electronic Nose and Wireless Sensor Network for Environmental Monitoring Application in Pulp and Paper Industry: A Review
P Prasad, P Raut, S Goel, RP Barnwal, GL Bodhe
Journal of Environmental Monitoring and Assessment 194 (855), 1-20, 2022
Transfer Learning for Robust Paddy and Weed Classification in Precision Agriculture: A Reverse Approach
D Sen, A Kundu, RP Barnwal
International Conference on Emerging Trends in Information Technology and …, 2020
Deep learning methods for scientific and industrial research
GK Patra, KR Bhimala, A Marndi, S Chowdhury, J Rahaman, S Nandi, ...
Deep Learning, Handbook of Statistics ; 2023 48, 107-168, 2023
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