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Cognitive Neurodynamics|May 3, 2024
Multiresolution directed transfer function approach for segment-wise seizure classification of epileptic EEG signalDhanalekshmi P Yedurkar, Shilpa P Metkar, Thompson StephanBMC Medical Informatics and Decision Making|September 30, 2025
SPA-IoT with MCSV-CNN: a novel IoT-enabled method for robust pre-ictal seizure predictionDhanalekshmi Prasad Yedurkar, Shilpa P Metkar, Thompson Stephan, et al.Sensors (Basel, Switzerland)|December 11, 2022
A Novel Approach for Multichannel Epileptic Seizure Classification Based on Internet of Things Framework Using Critical Spectral Verge Feature Derived from Flower Pollination AlgorithmDhanalekshmi Prasad Yedurkar, Shilpa P Metkar, Fadi Al-Turjman, et al.Computer Methods and Programs in Biomedicine|November 30, 2021
A Novel Breast Cancer Diagnosis Scheme With Intelligent Feature and Parameter SelectionsS Punitha, Thompson Stephan, Amir H GandomiScientific Reports|December 12, 2025
Interpretable wrapper-based machine learning framework for predicting patellofemoral pain syndrome using minimal clinical testsRajasekar Sannasi, Praveen Kumar Kandakurti, Thompson StephanEnvironmental Science and Pollution Research International|June 17, 2022
Machine learning analysis on the impacts of COVID-19 on India's renewable energy transitions and air qualityThompson Stephan, Fadi Al-Turjman, Monica Ravishankar, et al.Scientific Reports|February 25, 2026
Intelligent techniques for predictive analytics in Agile software developmentSahana P Shankar, Shilpa Shashikant Chaudhari, Vinaytosh Mishra, et al.Personal and Ubiquitous Computing|April 5, 2021
Forecasting major impacts of COVID-19 pandemic on country-driven sectors: challenges, lessons, and future roadmapSaket Kumar, Rajkumar Viral, Vikas Deep, et al.Scientific Reports|July 30, 2025
ProWaste for proactive urban waste management using IoT and machine learningThompson Stephan, S M Hari Krishna, Chia-Chen Lin, et al.Scientific Reports|May 7, 2025
EEG-based neurodegenerative disease diagnosis: comparative analysis of conventional methods and deep learning modelsB R Nayana, M N Pavithra, S Chaitra, et al.Pageof 2