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S. Chidambaram

Observed names: Chidambaram S, Chidambaram Subbiah, Dr. S. Chidambaram, S Chidambaram, S.Chidambaram
ORCID: 0000-0003-1595-3763
Observed ORCID: 0000-0003-1595-3763
OpenAlex ID: A5086957467
Performance evaluation of support vector machine classification approaches in data mining
2018 · S. Chidambaram, K. G. Srinivasagan · Cluster Computing · 35
Certain Investigation of Fake News Detection from Facebook and Twitter Using Artificial Intelligence Approach
2021 · Roy Setiawan, Vidya Sagar Ponnam, et al. · Wireless Personal Communications · 19
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Diagnosing Breast Cancer Based on the Adaptive Neuro-Fuzzy Inference System
2022 · S. Chidambaram, S. Sankar Ganesh, et al. · Computational and Mathematical Methods in Medicine · 16
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Deep Transfer Learning Based Unified Framework for COVID19 Classification and Infection Detection from Chest X-Ray Images
2021 · Sankar Ganesh Sundaram, Saleh Abdullah Aloyuni, et al. · Arabian Journal for Science and Engineering · 16
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A Predictive Approach for Fraud Detection Using Hidden Markov Model
2013 · S. Esakkiraj, S. Chidambaram · 14
An Integration of Archerfish Hunter Spotted Hyena Optimization and Improved ELM Classifier for Multicollinear Big Data Classification Tasks
2022 · S. Chidambaram, M. M. Gowthul Alam · Neural Processing Letters · 9
Additive Gaussian Noise Based Data Perturbation in Multi-Level Trust Privacy Preserving Data Mining
2014 · Kalaivani R, Chidambaram S · International Journal of Data Mining & Knowledge Management Process · 9
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A combined random noise perturbation approach for multi level privacy preservation in data mining
2014 · S. Chidambaram, K.G Srinivasagan · International Conference on Recent Trends in Information Technology · 8
An efficient big data classification using elastic collision seeker optimization based faster R-CNN
2023 · S. Chidambaram, C. Pretty Diana Cyril, et al. · Neural Computing and Applications · 7
IoT-based ECG monitoring system for smart health-care data applications
2023 · S. Chidambaram · Elsevier eBooks · 5
Ensemble Classification for Stroke Prediction and Diagnosis: Enhancing Accuracy through Collaborative Algorithms
2023 · Narmatha N, Harini D, et al. · International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE) · 4
A Performance Analysis of Predicting Diabetics Disease Using Hybrid Machine Learning Approach
2023 · Suga Priya K, Saranya A, et al. · International Conference on Advanced Computing and Communication Systems (ICACCS) · 3
Predictive and comparative analysis for diabetes using machine learning algorithms
2023 · Poneeswari Jeyamurugan, Saranya Durairaj, et al. · AIP conference proceedings · 3
Data-Driven Insights In To Diabetes Risk Factors And Patient Care Optimization Using Machine Learning Algorithms
2025 · M.Dheikshanya, S.Chidambaram · International Conference on Smart Technologies, Communication and Robotics (STCR) · 2
Optimization Approach for Feature Selection and Classification with Support Vector Machine
2015 · S. Chidambaram, K. G. Srinivasagan · Advances in intelligent systems and computing · 2
Early Detection of Cardiovascular Disease Using AdaBoost Convolutional Random Arithmetic Trigonometric Algorithm
2025 · S. Chidambaram, S. Ramesh, et al. · Cognitive Computation · 1
A Hybrid Approach for Time Series Forecasting Using Temporal Convolution Networks and CatBoost Classifier
2024 · S. Chidambaram, Dharmar V M, et al. · International Conference on Emerging Research in Computational Science (ICERCS) · 1
Role of Artificial Intelligence in Healthcare: Technologies, Applications, Challenges, and Issues
2023 · S. Chidambaram · Advances in healthcare information systems and administration book series · 1
Prediction of Emergency Admissions in Health Centres using Data Mining
2020 · A. Abarna*, B. Amuthavani, et al. · International Journal of Innovative Technology and Exploring Engineering · 1
Evolutionary Algorithm-Based Solutions for Energy Efficiency in Wireless Sensor Networks
2025 · S. Chidambaram, Pretty Diana Cyril C., et al. · Advances in computer and electrical engineering book series
A Novel Prediction Technique for Idetifying Chronic Kidney Disease in data Analytics Approaches
2023 · Aarthi S, Kavishka P, et al. · International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)
A Hybrid Random Perturbation Approach for Privacy Preservation in Perturbated Data
2017 · S Chidambaram, K. G Srinivasagan · Journal of Computational and Theoretical Nanoscience
Novel Method of Digital Clock Frequency Multiplication and Division Using Floating Point Arithmetic
2013 · S. Chidambaram, V. S. Chaitanya · International Conference on Intelligent Systems, Modelling and Simulation
Works count: 23
Citation count: 156
H-index: 8
I10-index: 5
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