| Prediction of coronary heart disease using supervised machine learning algorithms D Krishnani, A Kumari, A Dewangan, A Singh, NS Naik TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 367-372, 2019 | 79 | 2019 |
| A data locality based scheduler to enhance MapReduce performance in heterogeneous environments NS Naik, A Negi, TB Br, R Anitha Future Generation Computer Systems 90, 423-434, 2019 | 51 | 2019 |
| Stroke prediction using machine learning in a distributed environment M Rajora, M Rathod, NS Naik Distributed Computing and Internet Technology: 17th International Conference …, 2021 | 29 | 2021 |
| Performance improvement of MapReduce framework in heterogeneous context using reinforcement learning NS Naik, A Negi, VN Sastry Procedia Computer Science 50, 169-175, 2015 | 23 | 2015 |
| Early detection of forest fire using deep learning M Rahul, KS Saketh, A Sanjeet, NS Naik 2020 IEEE region 10 conference (tencon), 1136-1140, 2020 | 22 | 2020 |
| Energy-aware scheduling using slack reclamation for cluster systems AK Maurya, K Modi, V Kumar, NS Naik, AK Tripathi Cluster Computing 23 (2), 911-923, 2020 | 22 | 2020 |
| Ensemble multimodal deep learning for early diagnosis and accurate classification of COVID-19 S Kumar, SK Gupta, V Kumar, M Kumar, MK Chaube, NS Naik Computers and Electrical Engineering 103, 108396, 2022 | 17 | 2022 |
| A review of adaptive approaches to MapReduce scheduling in heterogeneous environments NS Naik, A Negi, VN Sastry 2014 International Conference on Advances in Computing, Communications and …, 2014 | 17 | 2014 |
| A decentralised KYC based approach for microfinance using blockchain technology BDS Sai, R Nikhil, S Prasad, NS Naik Cyber Security and Applications 1, 100009, 2023 | 10 | 2023 |
| Privacy Preservation and Security Challenges: A New Frontier Multimodal Machine Learning Research SKTS Kumar, MK Chaube, S Naik N, Sachin Kumar Gupta International Journal of Sensor Networks, 2022 | 10 | 2022 |
| Self-healing model for software application KP Kumar, NS Naik International Conference on Recent Advances and Innovations in Engineering …, 2014 | 9 | 2014 |
| Prediction of breast cancer analysis using machine learning algorithms and xgboost technique B Likitha, J Nakka, J Verma, NS Naik Data Science and Computational Intelligence: Sixteenth International …, 2021 | 5 | 2021 |
| Improving straggler task performance in a heterogeneous MapReduce framework using reinforcement learning NS Naik, A Negi, VN Sastry International Journal of Big Data Intelligence 5 (4), 201-215, 2018 | 5 | 2018 |
| Early Prediction of Crop Yield in India using Machine Learning A Sharma, A Tamrakar, S Dewasi, NS Naik 2022 IEEE Region 10 Symposium (TENSYMP), 1-6, 2022 | 4 | 2022 |
| Breast cancer prediction using supervised machine learning techniques S Singh, J Prasad, S Prasad, S Naik 2021 IEEE 18th India Council International Conference (INDICON), 1-5, 2021 | 4 | 2021 |
| Implementation of telugu speech synthesis system G Ramya, NS Naik 2017 International Conference on Advances in Computing, Communications and …, 2017 | 3 | 2017 |
| A learning-based mapreduce scheduler in heterogeneous environments NS Naik, A Negi 2017 International Conference on Advances in Computing, Communications and …, 2017 | 3 | 2017 |
| Big data analytics on aadhaar card dataset in hadoop ecosystem D Durga Bhavani, K Rajeswari, N Srinivas Naik First International Conference on Artificial Intelligence and Cognitive …, 2019 | 2 | 2019 |
| Predicting high blood pressure using decision tree-based algorithm S Nimmala, Y Ramadevi, SN Nenavath, R Cheruku Advances in Machine Learning and Data Science: Recent Achievements and …, 2018 | 2 | 2018 |
| Enhancing performance of mapreduce framework in heterogeneous environments NS Naik, A Negi, VN Sastry 2015 International Conference on Advanced Computing and Communications …, 2015 | 2 | 2015 |
