| Intelligent Parkinson disease prediction using machine learning algorithms TV Sriram, MV Rao, GS Narayana, D Kaladhar, TPR Vital Int. J. Eng. Innov. Technol 3 (3), 1568-1572, 2013 | 121 | 2013 |
| Diagnosis of Parkinson disease using machine learning and data mining systems from voice dataset TVS Sriram, MV Rao, GVS Narayana, D Kaladhar Proceedings of the 3rd International Conference on Frontiers of Intelligent …, 2015 | 23 | 2015 |
| A Comparison And Prediction Analysis For The Diagnosis Of Parkinson Disease Using Data Mining Techniques On Voice Datasets TVS Sriram, MV Rao, GS Narayana, D Kaladhar International Journal of Applied Engineering Research 11 (9), 6355-6360, 2016 | 10 | 2016 |
| ParkDiag: A tool to predict Parkinson disease using data mining techniques from voice data TV Sriram, MV Rao, GS Narayana, DS Kaladhar International Journal of Engineering Trends and Technology (IJETT) 31 (3 …, 2016 | 10 | 2016 |
| Empirical Study and Statistical Performance Analysis with ANN for Parkinson’s Vowelized Data set T PanduRanga Vital, GS Murty, K Yogiswara Rao, TVS Sriram Computational Intelligence in Data Mining: Proceedings of the International …, 2020 | 5 | 2020 |
| Data Collection, Statistical Analysis and Clustering Studies of Cancer Dataset from Viziayanagaram District, AP, India TP Vital, GSV Prasada Raju, D Kaladhar, TVS Sriram, KA Rayavarapu, ... ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention …, 2014 | 3 | 2014 |
| Detection of Routing Anomaly using IDS Architecture based on Agents and Clusters in MANETs DS Rao, TP Vital, TVS Sriram International Journal of Computer Applications 975, 8887, 2011 | 1 | 2011 |
| D. Srinivasa Rao T. Pandurang Vital TVS Sriram | | 2011 |
| Empirical Study and Statistical Performance Analysis with ANN for Parkinson’s Vowelized Data Set GS Murty, KY Rao, TVS Sriram | | |
Prof (Dr.) Dowluru SVGK KaladharMicrobiology and Bioinformatics, UTD, Atal Bihari Vajpayee University, BilaspurVerified email at bilaspuruniversity.ac.in
