| Forecasting yield by integrating agrarian factors and machine learning models: A survey D Elavarasan, DR Vincent, V Sharma, AY Zomaya, K Srinivasan Computers and electronics in agriculture 155, 257-282, 2018 | 252 | 2018 |
| Crop yield prediction using deep reinforcement learning model for sustainable agrarian applications D Elavarasan, PMD Vincent IEEE access 8, 86886-86901, 2020 | 243 | 2020 |
| Sensors driven AI-based agriculture recommendation model for assessing land suitability DR Vincent, N Deepa, D Elavarasan, K Srinivasan, SH Chauhdary, ... Sensors 19 (17), 3667, 2019 | 178 | 2019 |
| Iot-cloud-based smart healthcare monitoring system for heart disease prediction via deep learning AA Nancy, D Ravindran, PMD Raj Vincent, K Srinivasan, ... Electronics 11 (15), 2292, 2022 | 99 | 2022 |
| Recent advances in evolving computing paradigms: Cloud, edge, and fog technologies NA Angel, D Ravindran, PMDR Vincent, K Srinivasan, YC Hu Sensors 22 (1), 196, 2021 | 72 | 2021 |
| Emotion AI-driven sentiment analysis: A survey, future research directions, and open issues P Chakriswaran, DR Vincent, K Srinivasan, V Sharma, CY Chang, ... Applied Sciences 9 (24), 5462, 2019 | 72 | 2019 |
| A deep learning framework with an embedded-based feature selection approach for the early detection of the Alzheimer's disease N Mahendran, DRV PM Computers in Biology and Medicine 141, 105056, 2022 | 71 | 2022 |
| Hybrid inception v3 XGBoost model for acute lymphoblastic leukemia classification S Ramaneswaran, K Srinivasan, PMDR Vincent, CY Chang Computational and Mathematical Methods in Medicine 2021, 1-10, 2021 | 63 | 2021 |
| An algorithm to enhance security in RSA R Minni, K Sultania, S Mishra, DR Vincent 2013 Fourth International Conference on Computing, Communications and …, 2013 | 61 | 2013 |
| Deep CNN and deep GAN in computational visual perception-driven image analysis R Nandhini Abirami, PM Durai Raj Vincent, K Srinivasan, U Tariq, ... Complexity 2021, 1-30, 2021 | 59 | 2021 |
| A hybrid CFS filter and RF-RFE wrapper-based feature extraction for enhanced agricultural crop yield prediction modeling D Elavarasan, DR Vincent PM, K Srinivasan, CY Chang Agriculture 10 (9), 400, 2020 | 56 | 2020 |
| Machine learning based computational gene selection models: a survey, performance evaluation, open issues, and future research directions N Mahendran, PM Durai Raj Vincent, K Srinivasan, CY Chang Frontiers in genetics 11, 603808, 2020 | 54 | 2020 |
| A reinforced random forest model for enhanced crop yield prediction by integrating agrarian parameters D Elavarasan, PMDR Vincent Journal of Ambient Intelligence and Humanized Computing 12 (11), 10009-10022, 2021 | 53 | 2021 |
| Multiclass model for agriculture development using multivariate statistical method N Deepa, MZ Khan, B Prabadevi, DRV PM, PKR Maddikunta, ... IEEE Access 8, 183749-183758, 2020 | 47 | 2020 |
| A hybrid framework for intrusion detection in healthcare systems using deep learning M Akshay Kumaar, D Samiayya, PMDR Vincent, K Srinivasan, CY Chang, ... Frontiers in Public Health 9, 824898, 2022 | 44 | 2022 |
| Fuzzy deep learning-based crop yield prediction model for sustainable agronomical frameworks D Elavarasan, PM Durai Raj Vincent Neural Computing and Applications 33 (20), 13205-13224, 2021 | 41 | 2021 |
| Sensor-assisted weighted average ensemble model for detecting major depressive disorder N Mahendran, DR Vincent, K Srinivasan, CY Chang, A Garg, L Gao, ... Sensors 19 (22), 4822, 2019 | 38 | 2019 |
| An efficient implementation of artificial neural networks with K-fold cross-validation for process optimization K Srinivasan, AK Cherukuri, DR Vincent, A Garg, BY Chen Journal of Internet Technology 20 (4), 1213-1225, 2019 | 38 | 2019 |
| Reinforced XGBoost machine learning model for sustainable intelligent agrarian applications D Elavarasan, DR Vincent Journal of Intelligent & Fuzzy Systems 39 (5), 7605-7620, 2020 | 37 | 2020 |
| An IOT based Human healthcare system using Arduino Uno board S Jayapradha, PMDR Vincent 2017 International Conference on Intelligent Computing, Instrumentation and …, 2017 | 34 | 2017 |
