| Comparative analysis of C4. 5 and C5. 0 algorithms on crop pest data R Revathy, R Lawrance International Journal of Innovative Research in Computer and Communication …, 2017 | 52 | 2017 |
| Integration of RNN with GARCH refined by whale optimization algorithm for yield forecasting: a hybrid machine learning approach P Murali, R Revathy, S Balamurali, AS Tayade Journal of Ambient Intelligence and Humanized Computing, 1-13, 2020 | 41 | 2020 |
| Prediction of COVID-19 outbreak with current substantiation using machine learning algorithms N Indumathi, M Shanmuga Eswari, AO Salau, R Ramalakshmi, R Revathy Intelligent interactive multimedia systems for e-healthcare applications …, 2022 | 30 | 2022 |
| Developing an efficient irrigation scheduling system using hybrid machine learning algorithm to enhance the sugarcane crop productivity R Revathy, S Balamurali | 7 | 2022 |
| Classifying agricultural crop pest data using hadoop MapReduce based C5. 0 algorithm R Revathy, S Balamurali, R Lawrance Journal of Cyber Security and Mobility, 393-408, 2019 | 7 | 2019 |
| Prediction of dengue-human protein interaction using artificial neural network for anti-viral drug discovery A Jainul Fathima, R Revathy, S Balamurali, G Murugaboopathi Proceedings of International Conference on Sustainable Computing in Science …, 2019 | 6 | 2019 |
| Examination of Sugarcane Yield by Simulating Aqua Crop to Overcome the Irrigation Deficiency R Revathy, S Balamurali International journal of recent technology and engineering 8 (4S2), 546-50, 2019 | 6 | 2019 |
| Classifying crop pest data using C4. 5 algorithm R Revathy, R Lawrance 2017 IEEE International Conference on Intelligent Techniques in Control …, 2017 | 6 | 2017 |
| An appraisal of Indian jaggery and confectionery exports in the global market: Markov chain model approach R Revathy, P Murali, V Venkatasubramanian, DP Prathap, S Balamurali Sugar Tech 23, 118-129, 2021 | 5 | 2021 |
| Distinguishing SARIMA with extensive neural network model for forecasting sugarcane productivity R Revathy, S Balamurali 2019 IEEE International Conference on Intelligent Techniques in Control …, 2019 | 4 | 2019 |
| Hadoop big data mining: an effective mapreduce tool for classifying sugarcane yield data. R Revathy, P Murali, S Balamurali | 3 | 2020 |
| Innovative Marketing Strategies for the Refined Edible Oil Industry: A Multidimensional Approach M Subasini, MR Vignesh, R Revathy Indian Journal of Marketing 43 (11), 46-56, 2013 | 1 | 2013 |
| Intelligent Innovative Systems: Experience in Multidisciplinary Outlook on Current Challenges and Contingency N Indumathi, MS Eswari, R Revathy, R Ramalakshmi Fusion of Artificial Intelligence and Machine Learning in Advanced Image …, 2024 | | 2024 |
| A Framework of Automated Office Farming with Advanced Sensing Technology for Smart Cities R Revathy, S Balamurali, P Murali Artificial Intelligence Applications for Smart Societies: Recent Advances …, 2021 | | 2021 |
| Development of hybrid model for improving the prediction of dengue-human protein interaction for anti-viral drug discovery R Revathy, AJ Fathima, S Balamurali, G Murugaboopathi International Journal of Intelligent Information and Database Systems 13 (2 …, 2020 | | 2020 |
| 2 Literature Survey R Revathy, S Balamurali, R Lawrance | | |
| Prediction of Dengue-Human Protein Interaction using Artificial Neural Network for Anti-viral Drug Discovery GM A. Jainul fathima,R. Revathy, S. Balamurali SUSCOM 2019, 0 | | |
