A hybrid optimization algorithm‐based feature selection for thyroid disease classifier with rough type‐2 fuzzy support vector machine V Sureshkumar, S Balasubramaniam, V Ravi, A Arunachalam Expert Systems 39 (1), e12811, 2022 | 23 | 2022 |
A Comparison of Classification Techniques on Thyroid Detection Using J48 and Naive Bayes Classification Techniques S Vidhushavarshini, B Sathiyabhama Proceedings of the International Conference on Intelligent Computing Systems …, 2017 | 5 | 2017 |
Revolutionizing Breast Cancer Diagnosis: A Concatenated Precision through Transfer Learning in Histopathological Data Analysis VSSD Dhayanithi Jaganathan, Sathiyabhama Balasubramaniam Diagnostics 14 (4), 422, 2024 | 3 | 2024 |
Retrieving Information using Reversible Data Hiding P Lalitha, S Vidhushavarshini International Journal of scientific research and management (IJSRM) 2 (5 …, 2014 | 3 | 2014 |
An improved long short-term memory algorithm for cardiovascular disease prediction TK Revathi, S Balasubramaniam, V Sureshkumar, S Dhanasekaran Diagnostics 14 (3), 239, 2024 | 2 | 2024 |
ABNORMAL PSYCHOLOGY AND MALADAPTIVE BEHAVIOUR EXISTS EVERYWHERE, DOES IT INFLUENCE SOCIETY? PKG M. Asok Rajkumar,.Vidhushavarshini SureshKumar International Journal of Advance Research In Science And Engineering 4 (01 …, 2015 | 2* | 2015 |
Breast Cancer Detection and Analytics Using Hybrid CNN and Extreme Learning Machine V Sureshkumar, RSN Prasad, S Balasubramaniam, D Jagannathan, ... Journal of Personalized Medicine 14 (8), 792, 2024 | 1 | 2024 |
Concatenated Modified LeNet Approach for Classifying Pneumonia Images D Jaganathan, S Balsubramaniam, V Sureshkumar, S Dhanasekaran Journal of Personalized Medicine 14 (3), 328, 2024 | 1 | 2024 |
Smart Healthcare Monitoring System: Integrating IoT, Deep Learning, and XGBoost for Real-time Patient Diagnosis K Paulraj, N Soms, SDS Azariya, V Sureshkumar 2023 OITS International Conference on Information Technology (OCIT), 708-713, 2023 | 1 | 2023 |
Enhancing Medical Image Quality Using Fractional Order Denoising Integrated with Transfer Learning DJSD Abirami Annadurai,Vidhushavarshini Sureshkumar Fractals and Fractionals 8 (9), 511, 2024 | | 2024 |
A Comparative Study on Thyroid Nodule Classification using Transfer Learning Methods V Sureshkumar, D Jaganathan, V Ravi, V Velleangiri, P Ravi The Open Bioinformatics Journal 17 (1), 2024 | | 2024 |
Mobile Tourism Recommendation System SB Pooja selvarajan, Poovizhi Selvan, Vidhushavarshini Sureshkumar Artificial Intelligence and Data Science in Recommendation System: Current …, 2023 | | 2023 |
A Scheduling in Cloud Environment for collaborative computing systems in MVM VS T.GOUDHAMI International Journal of Emerging Technology in Computer Science …, 2015 | | 2015 |
A Multi-Class Thyroid Disease Classification Feature Selection based on Hybrid Optimization Algorithm using Rough Type-2 Fuzzy Support Vector Machine V Sureshkumar, S Balasubramani | | |
AN LARGE-SCALE NETWORK TRAFFIC ANALYSIS IN HADOOP BIG DATA PROCESSING WITH GEO-DISTRIBUTED DATA CENTERS N Shyamala, S Vidhushavarshini, P Kuppusamy | | |
Secure and Efficient Query Retrieval in Cloud Storage using Erasure Code System V Sathiyapriya, S Vidhushavarshini, M Marimuthu, T Goudhami | | |
HIGH COMMUNICATION ENERGY EFFICIENT TARGET TRACKING IN WSNS USING CONSTRAINED FLOODING R Ramesh, S Vidhushavarshini, P Kuppusamy | | |
Bio-Spoof and Anti-Spoofing Detection Based on IQA TM Hanimol, S Vidhushavarshini | | |