Prediction of Employee Attrition using DataMining RS Shankar, J Rajanikanth, VV Sivaramaraju, KV Murthy 2018 IEEE International Conference on System, Computation, Automation and …, 2018 | 57 | 2018 |
A novel approach for gray scale image colorization using convolutional neural networks RS Shankar, G Mahesh, K Murthy, D Ravibabu 2020 international conference on system, computation, automation and …, 2020 | 24 | 2020 |
Facial expression recognition using bezier curves with hausdorff distance DR Babu, RS Shankar, G Mahesh, K Murthy 2017 international conference on IoT and application (ICIOT), 1-8, 2017 | 21 | 2017 |
WITHDRAWN: Extensive analysis of machine learning algorithms to early detection of diabetic retinopathy SS Reddy, N Sethi, R Rajender, G Mahesh Materials Today: Proceedings, 2020 | 18 | 2020 |
A Novel Approach for Sharpening Blur Image Using Convolutional Neural Networks RS Shankar, G Mahesh, K Murthy, J Rajanikanth Journal of Critical Reviews 7 (7), 139-148, 2020 | 18 | 2020 |
Mining association rules based on boolean algorithm-a study in large databases CS Rao, DR Babu, RS Shankar, VP Kumar, J Rajanikanth, CC Sekhar International Journal of Machine Learning and Computing 3 (4), 347, 2013 | 18 | 2013 |
Detection of Epilepsy based on EEG Signals using PCA with ANN Model RS Shankar, CH Raminaidu, VVS Raju, J Rajanikanth Journal of Physics: Conference Series 2070 (1), 012145, 2021 | 17 | 2021 |
Brain tumor detection model from MR images using convolutional neural network C Someswararao, RS Shankar, SV Appaji, V Gupta 2020 International conference on system, computation, automation and …, 2020 | 17 | 2020 |
A Comprehensive analysis of machine learning techniques for incessant prediction of Diabetes mellitus SS Reddy, N Sethi, R Rajender International Journal of Grid and Distributed Computing 13 (1), 1-22, 2020 | 16 | 2020 |
A data mining scheme for detection and classification of diabetes mellitus using voting expert strategy SS Reddy, R Rajender, N Sethi International journal of knowledge-based and intelligent engineering systems …, 2019 | 16 | 2019 |
Discovering optimal algorithm to predict diabetic retinopathy using novel assessment methods S Reddy, N Sethi, R Rajender EAI Endorsed Transactions on Scalable Information Systems 8 (29), 2020 | 14 | 2020 |
A framework to enhance object detection performance by using YOLO algorithm RS Shankar, LV Srinivas, P Neelima, G Mahesh 2022 international conference on sustainable computing and data …, 2022 | 13 | 2022 |
Evaluation of deep belief network to predict hospital readmission of diabetic patients SS Reddy, N Sethi, R Rajender 2020 Second International Conference on Inventive Research in Computing …, 2020 | 13 | 2020 |
A review of data mining schemes for prediction of diabetes mellitus and correlated ailments SS Reddy, N Sethi, R Rajender 2019 5th International Conference on Computing, Communication, Control and …, 2019 | 13 | 2019 |
Analyzing student reviews on teacher performance using long short-term memory SS Reddy, M Gadiraju, VVR Maheswara Rao Innovative Data Communication Technologies and Application: Proceedings of …, 2022 | 12 | 2022 |
An enhanced machine learning classification system to investigate the status of micronutrients in rural women VVR Maheswara Rao, N Silpa, G Mahesh, SS Reddy Proceedings of International Conference on Recent Trends in Computing: ICRTC …, 2022 | 12 | 2022 |
A novel approach for image denoising and performance analysis using SGO and APSO VM Gupta, K Murthy, RS Shankar Journal of Physics: Conference Series 2070 (1), 012139, 2021 | 12 | 2021 |
A novel approach for prediction of gestational diabetes based on clinical signs and risk factors SS Reddy, M Gadiraju, NM Preethi, VVRM Rao EAI Endorsed Transactions on Scalable Information Systems 10 (3), 2023 | 11 | 2023 |
Mining of multiple ailments correlated to diabetes mellitus SS Reddy, N Sethi, R Rajender Evolutionary Intelligence 14 (2), 733-740, 2021 | 11 | 2021 |
Diabetes correlated renal fault prediction through deep learning SS Reddy, N Sethi, R Rajender EAI Endorsed Transactions on Pervasive Health and Technology 6 (24), e4-e4, 2020 | 11 | 2020 |