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Dr.T.Revathi
Dr.T.Revathi
Associate Professor of Computer Science,PSG College of Arts & Science
Verified email at psgcas.ac.in - Homepage
Title
Cited by
Cited by
Year
Comparative Study on Heart Disease Prediction System Using Data Mining Techniques
T Revathi, S Jeevitha
International Journal of Science and Research (IJSR) ISSN (Online) 4 (1 …, 2015
142015
A Survey on Data Mining Using Clustering Techniques
T Revathi, P Sumathi
International Journal of Scientific & Engineering Research Http://Www. Ijser …, 2013
92013
Entropy‐based complex proportional assessment for efficient task scheduling in fog computing
NK Malathy, T Revathi
Transactions on Emerging Telecommunications Technologies 34 (2), e4690, 2023
52023
Efficient watershed based red blood cell segmentation from digit al images in sickle cell disease
T Revathi, S Jeevitha
Int J Sci Eng Appl Sci 2, 300-317, 2016
42016
An Overview of Data Mining Classification Methods in Aortic Stenosis Prediction
T Revathi, P Sumathi
International Journal of Engineering and Advanced Technology (IJEAT) 3, 2014
32014
An improved hybrid cloud workflow scheduling algorithm based on ant colony optimization
SY Gandhi, T Revathi
International Journal of Health Sciences, 869-882, 2022
22022
A novel microarray gene ranking and classification using extreme learning machine algorithm
T Revathi, P Sumathi
Journal of Theoretical and Applied Information Technology 68 (3), 2014
22014
Distributed Data Mining based on Random Projection with Optimal Communication
T Revathi, P Sumathi
International Journal of Soft Computing & Engineering, 2013
12013
Opposition‐based improved memetic algorithm for placement of concurrent Internet of Things applications in fog computing
N Malathy, T Revathi
Transactions on Emerging Telecommunications Technologies 35 (2), e4941, 2024
2024
Optimizing Workload Scheduling in Cloud Paradigm using Robust Neutrosophic C-Means Clustering Boosted with Fish School Search
SY Gandhi, T Revathi
WSEAS Transactions on Systems 23, 8-23, 2024
2024
Optimizing Workload Scheduling in Cloud Paradigm using Robust Neutrosophic C-Means Clustering Boosted with Fish School Search
S YUVARAJ GANDHI, T REVATHI
Work Scheduling, Uncertainty, Neutrosophic C-Means clustering, Fish School …, 2023
2023
Prediction of Clinical Outcomes of Patients with Covid-19 based on Extreme Leaning Machine
DTR SM Saravanakumar
Indian Journal of Natural Sciences (ISSN:0976 – 0997) (Web of Science & UGC …, 2023
2023
PREDICTION OF NOVEL CORONAVIRUS-19 BASED ON EXTREME LEARNING MACHINE ALGORITHM
SM Saravanakumar, T Revath
NeuroQuantology 20 (8), 5714, 2022
2022
Quantum Glowworm Swarm Optimization of Workload task Scheduling in Cloud Computing
SY Gandhi, T Revathi
NeuroQuantology 20 (16), 3297, 2022
2022
Predicting Accuracy of CART and Random Forest Classification Techniques on Diabetes Mellitus
DTR SM Saravanakumar
Gedraj & Organisatie Review (ISSN:0921-5077) (WoS & Peer Reviewed) 34 (4 …, 2021
2021
An Approach for Microarray Gene Ranking and Classification using Hybrid Extreme Learning Machine Algorithm
T Revathi, P Sumathi
International Journal of Applied Engineering Research 9 (21), 10877-10888, 2014
2014
Extraction of Useful Information of a Patient Using Data Mining Techniques
DSR T.Revathi
International Conference on Computer Technology and Development, 3rd (ICCTD …, 2011
2011
A Survey on Machine Learning Techniques in Prediction of Pandemic Viral Infections (PIV) of Type A Influenza Viruses (IAV’s)
DTR SM Saravanakumar
INTERNATIONAL JOURNAL OF RESEARCH AND ANALYTICAL REVIEWS 8 (3), 458-464, 0
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