Survey of classification techniques in data mining N Satyanarayana, CH Ramalingaswamy, Y Ramadevi International Journal of Innovative Science, Engineering & Technology 1 (9), 2014 | 31 | 2014 |
Decision tree-based machine learning algorithms to classify rice plant diseases R Sahith, PVP Reddy, S Nimmala Int. J. Innov. Technol. Explor. Eng.(IJITEE) 9 (1), 5365-5368, 2019 | 16 | 2019 |
High blood pressure prediction based on AAA++ using machine-learning algorithms S Nimmala, Y Ramadevi, R Sahith, R Cheruku Cogent Engineering 5 (1), 1497114, 2018 | 10 | 2018 |
High blood pressure prediction based on AAA using J48 classifier N Satyanarayana, Y Ramadevi, KK Chari 2018 Conference on Signal Processing And Communication Engineering Systems …, 2018 | 9 | 2018 |
Spread Spectrum based QoS aware Energy Efficient Clustering Algorithm for Wireless Sensor Networks NS Bandi Rambabu, B Vikranth, S Anupkanth, Banoth Samya International Journal on Recent and Innovation Trends in Computing and …, 2023 | 6 | 2023 |
Machine Learning Approaches to Classify Diabetes Patients based on Age, Obesity level and Cholesterol level S Nimmala CVR Journal of Science and Technology 16 (1), 97-101, 2019 | 3 | 2019 |
Optimization of Energy-Efficient Cluster Head Selection Algorithm for Internet of Things in Wireless Sensor Networks PPJ Rella Usha Rani, P. Sankara Rao, Kothapalli Lavanaya, Nimmala ... International Journal on Recent and Innovation Trends in Computing and …, 2023 | 2* | 2023 |
An Intelli MVC: An intelligent majority voting and heuristic-based hybrid classifier to predict high blood pressure S Nimmala, B Vikranth, S Muqthadar Ali, R Usha Rani, B Rambabu Journal of Intelligent & Fuzzy Systems, 1-18, 2022 | 2 | 2022 |
Decision Tree-based Machine Learning Algorithms to Classify Rice Plant Diseases: A Recent Study R Sahith, P Reddy, S Nimmala BP International, 2021 | 2 | 2021 |
An intelli AFM: An intelligent association based fuzzy rule miner to predict high blood pressure using bio-psychological factors N Satyanarayana, Y Ramadevi, K Manasa, B Rambabu Intelligent Decision Technologies 14 (2), 227-237, 2020 | 2 | 2020 |
An innovative data-driven computational model to predict high blood pressure based on AAA++ S Nimmala, Y Ramadeve, BA Kumar Int J Eng Technol 7 (3.3), 114-118, 2018 | 2 | 2018 |
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 |
High Blood Pressure Classification Using Meta-heuristic Based Data-Centric Hybrid Machine Learning Model S Nimmala, RU Rani, PS Rao International Conference on Advanced Network Technologies and Intelligent …, 2022 | 1 | 2022 |
An intelligent AAA++ approach to predict high blood pressure using PARP classifier S Nimmala, Y Ramadevi, BA Kumar, R Sahith Clinical Epidemiology and Global Health 7 (4), 668-672, 2019 | 1 | 2019 |
High Blood Pressure Prediction based on AAA++ using J48 Algorithm S Nimmala, DS Kumar CVR Journal of Science and Technology 14, 53-57, 2018 | 1 | 2018 |
A Novel Approach to Predict High Blood Pressure Using ABF Function S Nimmala, Y Ramadevi, R Cheruku International Journal of Modern Education and Computer Science 11 (7), 67, 2018 | 1 | 2018 |
Classification of Credit Card Delinquent Customers Using Random Forest Algorithm V Praveen Kumar, S Nimmala, B Naresh, C Ravikumar International Conference on Computer & Communication Technologies, 217-224, 2023 | | 2023 |
Crop Recommendation System Using Improved Apriori Algorithm RC Satyanarayana Nimmala, K Venkatesh Sharma International Journal on Recent and Innovation Trends in Computing and …, 2023 | | 2023 |
Heart disease prediction using random forest algorithm T Lavanya, N Satyanarayana, M K Global Journal Of Engineering Science And Researches 8 (5), 248-252, 2018 | | 2018 |
INFLUENCE OF ANGER AND ANXIETY IN ELEVATING THE BLOOD PRESSURE: USING MACHINE LEARNING APPROACHES. S Nimmala, Y Ramadevi, R Sahith International Journal of Advanced Research in Computer Science 9 (2), 2018 | | 2018 |