| Smart water resource management using Artificial Intelligence—A review SR Krishnan, MK Nallakaruppan, R Chengoden, S Koppu, M Iyapparaja, ... Sustainability 14 (20), 13384, 2022 | 104 | 2022 |
| A modified and efficient genetic algorithm to address a travelling salesman problem M Senthilkumar, T Chandrasegar, MK Nallakaruppan, S Prasanna International Journal of Applied Engineering Research 9 (10), 1279-1288, 2014 | 60 | 2014 |
| Battery management solutions for li-ion batteries based on artificial intelligence Y Khawaja, N Shankar, I Qiqieh, J Alzubi, O Alzubi, MK Nallakaruppan, ... Ain Shams Engineering Journal 14 (12), 102213, 2023 | 55 | 2023 |
| Medical big data mining and processing in e-healthcare SR Kumar, N Gayathri, S Muthuramalingam, B Balamurugan, C Ramesh, ... Internet of things in biomedical engineering, 323-339, 2019 | 47 | 2019 |
| Accident avoidance in railway tracks using Adhoc wireless networks MK Nallakaruppan, M Senthil Kumar, T Chandrasegar, KA Suraj, ... | 40 | 2014 |
| Vegetable disease detection using k-means clustering and svm U Rahamathunnisa, MK Nallakaruppan, A Anith, SK KS 2020 6th International Conference on Advanced Computing and Communication …, 2020 | 35 | 2020 |
| Deep learning for short answer scoring K Surya, E Gayakwad, M Nallakaruppan Int. J. Recent. Technol. Eng.(IJRTE) 7 (6), 2019 | 33 | 2019 |
| A cluster-based energy-efficient secure optimal path-routing protocol for wireless body-area sensor networks R Dass, M Narayanan, G Ananthakrishnan, T Kathirvel Murugan, ... Sensors 23 (14), 6274, 2023 | 23 | 2023 |
| Reliable water quality prediction and parametric analysis using explainable AI models MK Nallakaruppan, E Gangadevi, ML Shri, B Balusamy, S Bhattacharya, ... Scientific Reports 14 (1), 7520, 2024 | 19 | 2024 |
| IoT based machine learning techniques for climate predictive analysis MK Nallakaruppan, US Kumaran International Journal of Recent Technology and Engineering (IJRTE) 5, 171-175, 2019 | 17 | 2019 |
| Quick fix for obstacles emerging in management recruitment measure using IOT-based candidate selection MK Nallakaruppan, US Kumaran Service Oriented Computing and Applications 12, 275-284, 2018 | 17 | 2018 |
| Location aware climate sensing and real time data analysis MK Nallakaruppan, HS Ilango 2017 World Congress on Computing and Communication Technologies (WCCCT), 73-79, 2017 | 15 | 2017 |
| Smart iomt framework for supporting uav systems with ai N Shankar, MK Nallakaruppan, V Ravindranath, M Senthilkumar, ... Electronics 12 (1), 86, 2022 | 14 | 2022 |
| Iterative Approach for Frequent Set Mining Using Hadoop Over Cloud Environment S Prasanna, S Narayan, MK NallaKaruppan, C Anilkumar, ... Smart Intelligent Computing and Applications: Proceedings of the Second …, 2019 | 13 | 2019 |
| Secured MCDM Model for Crowdsource Business Intelligence MK Nallakaruppan, I Johri, SRK Somayaji, S Bhatia, AA Malibari, ... Applied Sciences 13 (3), 1511, 2023 | 12 | 2023 |
| An Explainable AI framework for credit evaluation and analysis MK Nallakaruppan, B Balusamy, ML Shri, V Malathi, S Bhattacharyya Applied Soft Computing 153, 111307, 2024 | 10 | 2024 |
| Advancing solar energy integration: Unveiling XAI insights for enhanced power system management and sustainable future MK Nallakaruppan, N Shankar, PB Bhuvanagiri, S Padmanaban, ... Ain Shams Engineering Journal 15 (6), 102740, 2024 | 8 | 2024 |
| Comparative analysis of deep learning models used in impact analysis of coronavirus chest X-ray imaging MK Nallakaruppan, S Ramalingam, SRK Somayaji, SB Prathiba Biomedicines 10 (11), 2791, 2022 | 8 | 2022 |
| Car sales prediction using machine learning algorithms K Madhuvanthi, MK Nallakaruppan, NC Senthilkumar, ... International Journal of Innovative Technology and Exploring Engineering 8 …, 2019 | 8 | 2019 |
| Analysis of CPU scheduling algorithms for cloud computing R Somula, S Nalluri, MK NallaKaruppan, S Ashok, G Kannayaram Smart Intelligent Computing and Applications: Proceedings of the Second …, 2019 | 8 | 2019 |
