S. Thomas George

发表

DWT-based electromyogram signal classification using maximum likelihood-estimated features for neurodiagnostic applications

Shobha Jose, S. Thomas George, P. S. Roopchand, 2020, Signal Image Video Process..

Comparative Analysis between Active Contour and Otsu Thresholding Segmentation Algorithms in Segmenting Brain Tumor Magnetic Resonance Imaging

Aida Mustapha, Mazin Abed Mohammed, Salama A. Mostafa, 2020 .

1D CNN Architectures for EEG Classification with Motor Imagery input of eyes open and eyes closed conditions

S. Thomas George, P SubathraM.S., Nagabushanam Perattur, 2020 .

EEG signal classification using LSTM and improved neural network algorithms

P. Nagabushanam, S. Thomas George, S. Radha, 2019, Soft Computing.

Automated Detection of Epileptic Seizure Using Histogram of Oriented Gradients for Analysing Time Frequency Images of EEG Signals

M. S. P. Subathra, S. Thomas George, D. Narain Ponraj, 2017 .

An Outlier Detection Approach on Credit Card Fraud Detection Using Machine Learning: A Comparative Analysis on Supervised and Unsupervised Learning

S. Thomas George, P. Caroline Cynthia, S. George, 2020 .

Computer-Aided Diagnosis of Epilepsy Based on the Time-Frequency Texture Descriptors of EEG Signals Using Wavelet Packet Decomposition and Artificial Neural Network

Nallapaneni Manoj Kumar, M. S. P. Subathra, S. Thomas George, 2018, Cognitive Informatics and Soft Computing.

Morphological Operations on EEG Signals for Spike Detection

S. Radha, P. Nagabushanam, S. Thomas George, 2019, 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS).

A new approach for automatic detection of focal EEG signals using wavelet packet decomposition and quad binary pattern method

M. S. P. Subathra, S. Thomas George, Sairamya Nanjappan Jothiraj, 2021, Biomed. Signal Process. Control..

Classification of epileptic EEG signals using PSO based artificial neural network and tunable-Q wavelet transform

M. S. P. Subathra, S. Thomas George, N. J. Sairamya, 2020, Biocybernetics and Biomedical Engineering.

Detection of Parkinson's Disease from gait using Neighborhood Representation Local Binary Patterns

M. S. P. Subathra, S. Thomas George, Ogul Can Yurdakul, 2020, Biomed. Signal Process. Control..

Deep Learning Techniques for EEG Signal Applications – A Review

S. Thomas George, D. Merlin Praveena, D. Angelin Sarah, 2020, IETE Journal of Research.

Automated Intelligent Wireless Drip Irrigation Using ANN Techniques

M. S. P. Subathra, S. Thomas George, Vinodh Ewards, 2019 .

Hybrid Approach for Classification of Electroencephalographic Signals Using Time–Frequency Images With Wavelets and Texture Features

M. S. P. Subathra, S. Thomas George, N. J. Sairamya, 2019, Intelligent Data Analysis for Biomedical Applications.

Generating Brain-maps with ICA Source Estimates from Hybrid Optimizer Using Spectral Screened EEG Data

S. Thomas George, S. Easter Selvan, Manoj Kumar Das, 2009 .

Performance Comparison of Machine Learning Algorithms in P300 Detection Using Balanced Mind-Speller Dataset

M. S. P. Subathra, S. Thomas George, Jobin T. Philip, 2020, Second International Conference on Computer Networks and Communication Technologies.

Detection of focal epilepsy in brain maps through a novel pattern recognition technique

M. S. P. Subathra, S. Thomas George, Sairamya Nanjappan Jothiraj, 2019, Neural Computing and Applications.

Gabor Filter-Based Tonsillitis Analysis Using VHDL

P. Nagabushanam, S. Thomas George, S. Radha, 2019, AISGSC 2019.

Artifact Removal using Elliptic Filter and Classification using 1D-CNN for EEG signals

S. Radha, S. Thomas George, P. Nagabushanam, 2020, 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS).

A Study on Using Blink Parameters from EEG Data for Lie Detection

S. Thomas George, Joshua Immanuel, Ajay Joshua, 2018, 2018 International Conference on Computer Communication and Informatics (ICCCI).

Performance Comparison of Neural Network Backpropagation Algorithms in Detecting P300 Signals from Mind-Speller Data

S. Thomas George, Jobin T. Philip, S. George, 2019, 2019 2nd International Conference on Signal Processing and Communication (ICSPC).

Application of Multi-domain Fusion Methods for Detecting Epilepsy from Electroencephalogram Using Classification Methods

Nallapaneni Manoj Kumar, M. S. P. Subathra, S. Thomas George, 2019 .

A Novel Islanding Detection Technique for a Resilient Photovoltaic-Based Distributed Power Generation System Using a Tunable-Q Wavelet Transform and an Artificial Neural Network

Shauhrat S. Chopra, Nallapaneni Manoj Kumar, Nallapaneni Manoj Kumar, 2020, Energies.

Range-Based ICA Using a Nonsmooth Quasi-Newton Optimizer for Electroencephalographic Source Localization in Focal Epilepsy

S. Thomas George, S. Easter Selvan, R. Balakrishnan, 2015, Neural Computation.

Lung cancer detection and classification with DGMM-RBCNN technique

S. Thomas George, Narain Ponraj Deivendran, Sanjukta Rani Jena, 2021, Neural Computing and Applications.

Convolution Neural Network Architectures for Motor Imagery EEG Signal Classification

S. Thomas George, Perattur Nagabushanam, D. Raveena Judie Dolly, 2021, Int. J. Artif. Intell. Mach. Learn..

A comprehensive review on deep learning techniques for a BCI-based communication system

J. Anitha, Kumudha Raimond, E. Grace Mary Kanaga, 2021, Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics.

An evolutionary framework on ADHD diagnosis based on graph theory and ant colony optimisation

S. Thomas George, R. Catherine Joy, A. Albert Rajan, 2021, Int. J. Comput. Aided Eng. Technol..

Performance Evaluation of Discrete Wavelet Transform, and Wavelet Packet Decomposition for Automated Focal and Generalized Epileptic Seizure Detection

M. S. P. Subathra, S. Thomas George, M. Subathra, 2019, IETE Journal of Research.