Smart water resource management using Artificial Intelligence—A review SR Krishnan, MK Nallakaruppan, R Chengoden, S Koppu, M Iyapparaja, ... Sustainability 14 (20), 13384, 2022 | 62 | 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 |
Accident avoidance in railway tracks using Adhoc wireless networks MK Nallakaruppan, M Senthil Kumar, T Chandrasegar, KA Suraj, ... | 40 | 2014 |
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 | 38 | 2019 |
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 | 32 | 2023 |
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 | 30 | 2020 |
Deep learning for short answer scoring K Surya, E Gayakwad, M Nallakaruppan Int. J. Recent. Technol. Eng.(IJRTE) 7 (6), 2019 | 29 | 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 |
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 | 16 | 2019 |
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 |
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 | 11 | 2023 |
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 | 11 | 2019 |
Smart iomt framework for supporting uav systems with ai N Shankar, MK Nallakaruppan, V Ravindranath, M Senthilkumar, ... Electronics 12 (1), 86, 2022 | 9 | 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 |
Predicting the weather for Uninterrupted Cricket matches and Outdoor Sports events MK Nallakaruppan, S Nazz, K Madhuvanthi, S Karthikeyan, ... 2019 9th International Conference on Cloud Computing, Data Science …, 2019 | 7 | 2019 |
Comparison of particle swarm optimization and simulated annealing applied to travelling salesman problem M Sumathi, U Rahamathunnisa, A Anitha, D Druheen, MK Nallakaruppan Int. J. Innov. Technol. Explor. Eng 8, 2278-3075, 2019 | 7 | 2019 |
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 | 6 | 2022 |
Clustering of Wireless Sensor Network Data K Nallakaruppan, P Ilango, N Deepa, A Muthukumarappan Research Journal of Pharmacy and Technology 10 (1), 73-82, 2017 | 6 | 2017 |
Secured MCDM Model for Crowdsource Business Intelligence MK Nallakaruppan, I Johri, SRK Somayaji, S Bhatia, AA Malibari, ... Applied Sciences 13 (3), 1511, 2023 | 5 | 2023 |