Goswami, B., Pal, T., Das, S. and Barnwal, R.P., 2025. CT-GANet: A Fusion of GAN and UNet for CT Image Segmentation of Interstitial Lung Disease Affected Lung. Journal of The Institution of Engineers (India): Series B, pp.1-12.
Mallick, A. and Barnwal, R.P., 2025, January. A Scalable Framework for Multi-cloud IoT Data Synchronization. In Proceedings of the 26th International Conference on Distributed Computing and Networking (pp. 364-369).
Chowdhury, S., Farooq, Y. and Barnwal, R.P., 2024, December. Real-Time Vision-based Scene Classification for Adaptive Behavior in Autonomous Mobile Robots. In Proceedings of the 8th International Conference on Data Science and Management of Data (12th ACM IKDD CODS and 30th COMAD) (pp. 386-390).
Chakraborty, K., Chowdhury, S. and Barnwal, R.P., 2024, December. Study on the Efficacy of GPT Double Heads Model for Question-Answering in Bengali. In 2024 IEEE Calcutta Conference (CALCON) (pp. 1-5). IEEE.
Chowdhury, S. and Barnwal, R.P., 2024. Empirical Study of Transformer and Graph-Based Architectures for Class-Imbalanced Road Scene Recognition. Available at SSRN 4718551.
Pal, T., Goswami, B. and Barnwal, R.P., 2023. Handling Segmentation and Classification Problems in Deep Learning for Identification of Interstitial Lung Disease. In Machine Learning and Deep Learning Techniques for Medical Image Recognition (pp. 128-151). CRC Press.
Kumar, R.S. and Barnwal, R.P., 2023. Instance segmentation based precise object detection in UAV Images using Mask R-CNN. International Journal of Systematic Innovation, 7(6), pp.12-19.
Prasad, P., Raut, P., Barnwal, R.P. and Bodhe, G.L., 2023. A Study on outdoor air pollution and noise data collected using sensor devices in Delhi, India. Environmental Engineering and Management Journal (EEMJ), 22(6).
Kumar, R.S., Barnwal, R.P., 2023. Instance segmentation based precise object detection in UAV Images using Mask R-CNN. International Journal of Systematic Innovation, 7(6), pp.12-19.
Patra, G.K., Bhimala, K.R., Marndi, A., Chowdhury, S., Rahaman, J., Nandi, S., Sarkar, R.R., Gouda, K.C., Ramesh, K.V., Barnwal, R.P. and Raj, S., 2023. Deep learning methods for scientific and industrial research. Series: Handbook of Statistics (Deep Learning),; 2023, 48, pp. 107-168, Elsevier.
Banerjee, P., Raj, S. and Barnwal, R.P., 2023, January. Machine versus Human Attention: A comparative study of different transfer learning models. In Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD) (pp. 136-136), ACM. (Referred at CVPR 2023)
Banerjee, P. and Barnwal, R.P., 2022. Methods and Metrics for Explaining Artificial Intelligence Models: A Review. Explainable AI: Foundations, Methodologies and Applications, pp.61-88.
Banerjee, P.B. and Barnwal, R.P., 2022. Energy Efficient Data Transmission Scheme for Internet of Things Applications. Journal of Scientific & Industrial Research, 81(06), pp.633-642.
Banerjee, P., Banerjee, S. and Barnwal, R.P., 2022, January. Explaining deep-learning models using gradient-based localization for reliable tea-leaves classifications. In 2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC) (pp. 1-6). IEEE.
Prasad, P., Raut, P., Goel, S., Barnwal, R.P. and Bodhe, G.L., 2022. Electronic nose and wireless sensor network for environmental monitoring application in pulp and paper industry: a review. Environmental Monitoring and Assessment, 194(12), p.855.
Barnwal, R.P., Roy, P. and Pal, P.K., 2022. Experimental Evaluation of Indoor Localization Methods for Industrial IoT Environment, Journal of Scientific & Industrial Research, Vol. 81, March 2022, pp. 294-307.
Banerjee, P. and Barnwal, R.P., Visual explanation using Grad-CAM for deep-learning based classification of Tea-leaves, In 2021 IEI Thirty Fourth National Convention of Computer Engineers on “Industrial and Medical Application of Artificial Intelligence”, 20-21 November' 2021, IEI, IFIP & IETE, Jabalpur.
Roy, P. and Barnwal, R.P., IoT-enabled e-Nose network for deep-learning-based detection of obnoxious odor gases in industrial environment, In 2021 IEI Thirty Fourth National Convention of Computer Engineers on “Industrial and Medical Application of Artificial Intelligence”, 20-21 November' 2021, IEI, IFIP & IETE, Jabalpur.
Banerjee, S., Barnwal, R.P. and Rajan, P., Study of VGG-16 and Inception-V3 classification models for segregation of machine harvested tea-leaves, In 2021 IEI Thirty Fourth National Convention of Computer Engineers on “Industrial and Medical Application of Artificial Intelligence”, 20-21 November' 2021, IEI, IFIP & IETE, Jabalpur.
Sen D., Kundu A., Barnwal R.P., 2020. Transfer Learning for Robust Paddy and Weed Classification in Precision Agriculture: A Reverse Approach, In 2020 IET International Conference on Emerging Trends in IT and Data Science, IET. (Best Paper Award)
Barnwal, R.P., Ghosh, N., Ghosh, S.K. and Das, S.K., 2019. Publish or Drop Traffic Event Alerts? Quality-aware Decision Making in Participatory Sensing-based Vehicular CPS. ACM Trans. on Cyber-Physical Systems. Vol. 4(1), (pp.. 9:1-26), ACM.
Barnwal, R.P., Ghosh, N., Ghosh, S.K. and Das, S.K., 2019. PS-Sim: A framework for scalable data simulation and incentivization in participatory sensing-based smart city applications. Pervasive and Mobile Computing, 57, pp.64-77.
Barnwal, R.P., Ghosh, N., Ghosh, S.K. and Das, S.K., 2018, June. PS-Sim: A Framework for Scalable Simulation of Participatory Sensing Data. In 2018 IEEE International Conference on Smart Computing (SMARTCOMP) (pp. 195-202). IEEE.
Barnwal, R.P., Bharti, S., Misra, S. and Obaidat, M.S., 2017. UCGNet: wireless sensor network‐based active aquifer contamination monitoring and control system for underground coal gasification. International Journal of Communication Systems, 30(1).
Barnwal, R.P., Ghosh, N., Ghosh, S.K. and Das, S.K., 2016, May. Enhancing Reliability of Vehicular Participatory Sensing Network: A Bayesian Approach. In Smart Computing (SMARTCOMP), 2016 IEEE International Conference on (pp. 1-8). IEEE.
Barnwal, R.P. and Ghosh, S.K., 2016. KITE: an efficient scheme for trust estimation and detection of errant nodes in vehicular cyber‐physical systems. Security and Communication Networks, 9(16), pp.3271-3281.
Krishna, T.R.V., Barnwal, R.P. and Ghosh, S.K., 2015. CAT: Consensus-assisted trust estimation of MDS-equipped collaborators in vehicular ad-hoc network. Vehicular Communications, 2(3), pp.150-157.
Barnwal, R.P., Ghosh, N. and Ghosh, S.K., 2014. Data and Application Security in Cloud. In Bio-inspiring Cyber Security and Cloud Services: Trends and Innovations (pp. 479-495). Springer Berlin Heidelberg.
http://www.slideshare.net/r_barnwal/presentations
1. Apparatus for deep-neural network based intelligent detection of facemask and its contactless dispensing using closed loop feedback controller.. CSIR Ref. No. 0157NF2021
2. Multi-purpose self-service e-kiosk system... CSIR Ref. No. 0147NF2020
Design of retrofittable CCTV surveillance module for solar lamp post, Registration No. L-99524/2021, dt. 16.02.2021
E-PMS (Performance Mapping of Scientist) Software, Registration No. SW-14122/2021, dt. 18.01.2021
Design of Official Bilingual Website and its Content Management System of CSIR-CMERI, Durgapur, Registration No. SW-11583/2018, dt. 13.08.2018
“SUVIDHA” – A Software for complaint registration and workflow management for maintenance of residential and official estate in a corporate structure, File no. 042CR2019, dt.15.10.2019
Solar Tree with Surrounding Surveillance System, Registration No. 307982, dt. 24.07.2018
Solar lotus with surveillance system, File no. 09/Design/2018, dt.12.07.2018