| 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 | 173 | 2018 |
| 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 | 144 | 2016 |
| 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 | 138 | 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), 1-16, 2019 | 129 | 2019 |
| 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 | 99 | 2019 |
| 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 | 69 | 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 | 55 | 2019 |
| 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 | 54 | 2017 |
| 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 | 52 | 2021 |
| An Efficient and Unique TF/IDF Algorithmic Model-Based Data Analysis for Handling Applications with Big Data Streaming C Iwendi, S Ponnan, R Munirathinam, K Srinivasan, CY Chang Electronics 8 (11), 1331, 2019 | 51 | 2019 |
| 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 | 39 | 2021 |
| 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 | 39 | 2021 |
| DAG-SVM based infant cry classification system using sequential forward floating feature selection CY Chang, CW Chang, K Srinivasan, C Lin, ST Chen Multidimensional Systems and Signal Processing, 1-16, 2016 | 38 | 2016 |
| 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 | 33 | 2021 |
| 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 | 33 | 2020 |
| Realizing Sustainable Development via Modified Integrated Weighting MCDM Model for Ranking Agrarian Dataset N Deepa, K Ganesan, K Srinivasan, CY Chang Sustainability 11 (21), 1-21, 2019 | 33 | 2019 |
| A review on potential issues and challenges in MR imaging S Kathiravan, J Kanakaraj The Scientific World Journal 2013 (783715), 10, 2013 | 33 | 2013 |
| On the positioning likelihood of UAVs in 5G networks V Sharma, DNK Jayakody, K Srinivasan Physical Communication 31, 1-9, 2018 | 32 | 2018 |
| Opportunistic-harvesting: RF wireless power transfer scheme for multiple access relays system A Rajaram, DNK Jayakody, K Srinivasan, B Chen, V Sharma IEEE Access 5, 16084-16099, 2017 | 32 | 2017 |
| A Review of Manchester, Miller, and FM0 Encoding Techniques V Lalitha, K Srinivasan Smart Computing Review 4 (6), 481-490, 2014 | 32 | 2014 |
