Applications of data mining techniques in healthcare and prediction of heart attacks K Srinivas, BK Rani, A Govrdhan International Journal on Computer Science and Engineering (IJCSE) 2 (02 …, 2010 | 557 | 2010 |
A taxonomy of deep convolutional neural nets for computer vision S Srinivas, RK Sarvadevabhatla, KR Mopuri, N Prabhu, SSS Kruthiventi, ... Frontiers in Robotics and AI 2, 36, 2016 | 285 | 2016 |
Analysis of coronary heart disease and prediction of heart attack in coal mining regions using data mining techniques K Srinivas, GR Rao, A Govardhan 2010 5th International Conference on Computer Science & Education, 1344-1349, 2010 | 189 | 2010 |
Prediction of muscular paralysis disease based on hybrid feature extraction with machine learning technique for COVID-19 and post-COVID-19 patients P Subramani, S K, P BD Personal and ubiquitous computing 27 (3), 831-844, 2023 | 116 | 2023 |
Dynamic route discovery using modified grasshopper optimization algorithm in wireless Ad-Hoc visible light communication network S Vadivel, S Konda, KR Balmuri, A Stateczny, BD Parameshachari Electronics 10 (10), 1176, 2021 | 63 | 2021 |
Identification of Triple Negative Breast Cancer Genes Using Rough Set Based Feature Selection Algorithm & Ensemble Classifier S Patil, KR Balmuri, J Frnda, BD Parameshachari, S Konda, J Nedoma HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES 12, 2022 | 51 | 2022 |
Rough-fuzzy classifier: a system to predict the heart disease by blending two different set theories K Srinivas, GR Rao, A Govardhan Arabian Journal for Science and Engineering 39, 2857-2868, 2014 | 51 | 2014 |
Survey on prediction of heart morbidity using data mining techniques K Srinivas, GR Rao, A Govardhan International Journal of Data Mining & Knowledge Management Process (IJDKP …, 2011 | 47 | 2011 |
A hybrid mayfly-Aquila optimization algorithm based energy-efficient clustering routing protocol for wireless sensor networks G Natesan, S Konda, RP de Prado, M Wozniak Sensors 22 (17), 6405, 2022 | 22 | 2022 |
Mining negative association rules BK Rani, K Srinivas, BR Reddy, A Govardhan International Journal of Engineering and Technology 3 (2), 100-105, 2011 | 16 | 2011 |
Rainfall prediction with TLBO optimized ANN BK Rani, K Srinivas, A Govardhan NISCAIR-CSIR, India, 2014 | 14 | 2014 |
A long short-term memory network-based radio resource management for 5G network KR Balmuri, S Konda, WC Lai, PB Divakarachari, KMV Gowda, ... Future Internet 14 (6), 184, 2022 | 13 | 2022 |
Hybrid Approach for Prediction of Cardiovascular Disease Using Class Association Rules and MLP S Konda, KR Balmuri, RR Basireddy, R Mogili International Journal of Electrical and Computer Engineering 6 (4), 1800-1810., 2016 | 12* | 2016 |
Mining association rules from large datasets towards disease prediction K Srinivas, GR Rao, A Govardhan 2012 International Conference on Information and Computer Networks (ICICN …, 2012 | 12 | 2012 |
Analysis of attribute association in heart disease using data mining techniques K Srinivas, GR Rao, A Govardhan International Journal of Engineering Research and Applications (IJERA) 2, 2012 | 10 | 2012 |
Prediction of heart disease using hybrid linear regression K Srinivas, BK Rani, MVP Rao, RK Patra, G Madhukar, A Mahendar Eur J Mol Clin Med 7 (05), 2020 | 6 | 2020 |
Adaptive Closed-Loop Deep Brain Stimulator Coding Techniques for Target Detections in Parkinson’s V Rama Raju, D Anji Reddy, D Narsimha, K Srinivas, B Kavitha Rani IETE Journal of Research 69 (8), 4945-4960, 2023 | 5 | 2023 |
Implementation of Speed-Efficient Key-Scheduling Process of AES for Secure Storage and Transmission of Data TM Kumar, KR Balmuri, A Marchewka, P Bidare Divakarachari, S Konda Sensors 21 (24), 8347, 2021 | 3 | 2021 |
Telugu text summarization using LSTM deep learning BK Rani, MV Rao, K Srinivas, G Madhukar Pensee J 51 (1), 355-363, 2021 | 3 | 2021 |
MER based analysis of local field potentials with deep brain stimulation subthalamic nucleus in Parkinson\’s disease using coherence and entropy techniques VR Raju, K Srinivas, KR Balmuri, A Balabhadra, BSV Raju IP Ind. J Neurosci 6 (3), 202-19, 2020 | 3 | 2020 |