| A review on sentiment analysis and emotion detection from text P Nandwani, R Verma Social Network Analysis and Mining 11 (1), 1-19, 2021 | 731 | 2021 |
| Modified U-Net architecture for semantic segmentation of diabetic retinopathy images N Sambyal, P Saini, R Syal, V Gupta Biocybernetics and Biomedical Engineering 40 (3), 1094-1109, 2020 | 133 | 2020 |
| Smart City Healthcare Cyber Physical System: Characteristics, Technologies and Challenges R Verma Wireless personal communications 122 (2), 1413-1433, 2022 | 105 | 2022 |
| Decoding algorithm for color QR code: A mobile scanner application N Bhardwaj, R Kumar, R Verma, A Jindal, AP Bhondekar 2016 international conference on recent trends in information technology …, 2016 | 41 | 2016 |
| Data security using LSB & DCT steganography in images D Singla, R Syal Int. J. Of Computational Engineering Research 2 (2), 359-364, 2012 | 37 | 2012 |
| Microvascular complications in type-2 diabetes: a review of statistical techniques and machine learning models N Sambyal, P Saini, R Syal Wireless Personal Communications 115 (1), 1-26, 2020 | 24 | 2020 |
| Performance analysis of ip security vpn R Malik, R Syal International Journal of Computer Applications 8 (4), 0975, 2010 | 21 | 2010 |
| Predictive analysis using hybrid clustering in diabetes diagnosis K Bhatia, R Syal 2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE …, 2017 | 19 | 2017 |
| A review of statistical and machine learning techniques for microvascular complications in type 2 diabetes N Sambyal, P Saini, R Syal Current Diabetes Reviews 17 (2), 143-155, 2021 | 18 | 2021 |
| Modified residual networks for severity stage classification of diabetic retinopathy N Sambyal, P Saini, R Syal, V Gupta Evolving Systems, 1-19, 2022 | 16 | 2022 |
| Aggregated residual transformation network for multistage classification in diabetic retinopathy N Sambyal, P Saini, R Syal, V Gupta International Journal of Imaging Systems and Technology 31 (2), 741-752, 2021 | 11 | 2021 |
| FPGA implementation of RSA based on carry save Montgomery modular multiplication R Verma, M Dutta, R Vig 2016 International Conference on Computational Techniques in Information and …, 2016 | 9 | 2016 |
| A comparative analysis of lightweight cryptographic protocols for smart home R Syal Emerging Research in Computing, Information, Communication and Applications …, 2019 | 8 | 2019 |
| Polyp Detection Using Deep Neural Networks N Rani, R Verma, A Jindal Handbook of Intelligent Computing and Optimization for Sustainable …, 2022 | 6 | 2022 |
| Using deep learning for the prediction of mixing patterns in two component-colored solutions as a proxy to dispersion in nanocomposite coatings P Kakkar, S Mishra, A Sharma, M Babar, R Verma, G Verma Journal of Dispersion Science and Technology, 1-16, 2023 | 5 | 2023 |
| FPGA Implementation of Modified Montgomery for RSA Cryptosystem R Verma, M Dutta, R Vig International Journal of Computer Science and Telecommunications 4 (1), 42-46, 2013 | 5 | 2013 |
| A Hybrid Approach for Diabetes Prediction and Risk Analysis Using Data Mining Bhavna, R Verma, R Handa, V Puri Advances in Communication and Computational Technology, 1213-1230, 2020 | 4 | 2020 |
| RSA Cryptosystem based on early word based montgomery modular multiplication R Verma, M Dutta, R Vig World Congress on Services, 33-47, 2018 | 4 | 2018 |
| Early-word-based montgomery modular multiplication algorithm R Verma, M Dutta, R Vig 2015 2nd International Conference on Signal Processing and Integrated …, 2015 | 4 | 2015 |
| Tripartite Modular Multiplication using Toom-Cook Multiplication A Mandal, R Syal International Journal of Advanced Research in Computer Science and …, 2012 | 4 | 2012 |
