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Dr. Satyanarayana Nimmala
Dr. Satyanarayana Nimmala
Professor, Dept. of CSE (Data Science), CVR College of Engineering
Verified email at cvr.ac.in
Title
Cited by
Cited by
Year
Survey of classification techniques in data mining
N Satyanarayana, CH Ramalingaswamy, Y Ramadevi
International Journal of Innovative Science, Engineering & Technology 1 (9), 2014
312014
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
162019
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
102018
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
92018
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
62023
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
32019
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
22022
Decision Tree-based Machine Learning Algorithms to Classify Rice Plant Diseases: A Recent Study
R Sahith, P Reddy, S Nimmala
BP International, 2021
22021
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
22020
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
22018
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
22018
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
12022
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
12019
High Blood Pressure Prediction based on AAA++ using J48 Algorithm
S Nimmala, DS Kumar
CVR Journal of Science and Technology 14, 53-57, 2018
12018
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
12018
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
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