| 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 | 305 | 2018 |
| Sensors Driven AI-Based Agriculture Recommendation Model for Assessing Land Suitability DR Vincent, N Deepa, D Elavarasan, K Srinivasan, SH Chauhdary, ... Sensors 19 (17), 1-16, 2019 | 218 | 2019 |
| Hybrid context enriched deep learning model for fine-grained sentiment analysis in textual and visual semiotic modality social data A Kumar, K Srinivasan, WH Cheng, AY Zomaya Information Processing & Management 57 (1), 2020 | 208 | 2020 |
| Virtual reality among the elderly: a usefulness and acceptance study from Taiwan SA Shabbir, S Malwade, AA Nursetyo, M Sood, M Bhatia, D Barsasella, ... BMC Geriatrics 19 (223), 1-10, 2019 | 192 | 2019 |
| IoT-Cloud-Based Smart Healthcare Monitoring System for Heart Disease Prediction via Deep Learning AA Nancy, D Ravindran, PM Durai Raj Vincent, K Srinivasan, DG Reina Electronics 11 (2292), 1-19, 2022 | 171 | 2022 |
| Recent Advances on IoT-Assisted Wearable Sensor Systems for Healthcare Monitoring SD Mamidwar, R Akshith, Z Shakruwala, U Chadha, K Srinivasan, ... Biosensors 11 (10), 372, 2021 | 164 | 2021 |
| Intelligent Deployment of UAVs in 5G Heterogeneous Communication Environment for Improved Coverage V Sharma, K Srinivasan, HC Chao, KL Hua, WH Cheng Journal of Network and Computer Applications, 2016 | 160 | 2016 |
| A Joint Resource Allocation, Security with Efficient Task Scheduling in Cloud Computing Using Hybrid Machine Learning Techniques PK Bal, SK Mohapatra, TK Das, K Srinivasan, YC Hu Sensors 22 (3), 1242, 2022 | 114 | 2022 |
| Performance Comparison of Deep CNN Models for Detecting Driver’s Distraction K Srinivasan, L Garg, D Datta, AA Alaboudi, NZ Jhanjhi, R Agarwal, ... Computers, Materials & Continua 68 (3), 4109-4124, 2021 | 108 | 2021 |
| 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 | 96 | 2021 |
| Machine Learning Prediction Models for Chronic Kidney Disease Using National Health Insurance Claim Data in Taiwan S Krishnamurthy, KS Kapeleshh, E Dovgan, M Luštrek, B Gradišek Piletič, ... Healthcare 9 (5), 546, 2021 | 92 | 2021 |
| 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 (Article ID 2577375 …, 2021 | 89 | 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 | 88 | 2019 |
| A systematic review on machine learning and deep learning models for electronic information security in mobile networks C Gupta, I Johri, K Srinivasan, YC Hu, SM Qaisar, KY Huang Sensors 22 (5), 2017, 2022 | 74 | 2022 |
| 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 | 72 | 2022 |
| 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 (5541134), 1-30, 2021 | 70 | 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 | 69 | 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 | 68 | 2020 |
| Robust RGB-D hand tracking using deep learning priors J Sanchez-Riera, K Srinivasan, KL Hua, WH Cheng, MA Hossain, ... IEEE Transactions on Circuits and Systems for Video Technology 28 (9), 2289-2301, 2017 | 68 | 2017 |
| A Contemporary Review on Drought Modeling Using Machine Learning Approaches K Sundararajan, L Garg, K Srinivasan, AK Bashir, J Kaliappan, ... CMES-Computer Modeling in Engineering & Sciences 128 (2), 447-487, 2021 | 64 | 2021 |