S. Thomas George

Orcid: 0000-0003-0304-495X

Affiliations:
  • Karunya Institute of Technology and Sciences, Coimbatore, India


According to our database1, S. Thomas George authored at least 21 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Online presence:

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Bibliography

2023
Nine novel ensemble models for solar radiation forecasting in Indian cities based on VMD and DWT integration with the machine and deep learning algorithms.
Comput. Electr. Eng., May, 2023

Intramuscular EMG classifier for detecting myopathy and neuropathy.
Int. J. Imaging Syst. Technol., March, 2023

2022
Correction to: Development of an intelligent model for musical key estimation using machine learning techniques.
Multim. Tools Appl., 2022

Development of an intelligent model for musical key estimation using machine learning techniques.
Multim. Tools Appl., 2022

EEG-based classification of normal and seizure types using relaxed local neighbour difference pattern and artificial neural network.
Knowl. Based Syst., 2022

Automatic identification of schizophrenia using EEG signals based on discrete wavelet transform and RLNDiP technique with ANN.
Expert Syst. Appl., 2022

2021
Lung cancer detection and classification with DGMM-RBCNN technique.
Neural Comput. Appl., 2021

Modeling an effectual multi-section You Only Look Once for enhancing lung cancer prediction.
Int. J. Imaging Syst. Technol., 2021

An evolutionary framework on ADHD diagnosis based on graph theory and ant colony optimisation.
Int. J. Comput. Aided Eng. Technol., 2021

Convolution Neural Network Architectures for Motor Imagery EEG Signal Classification.
Int. J. Artif. Intell. Mach. Learn., 2021

A new approach for automatic detection of focal EEG signals using wavelet packet decomposition and quad binary pattern method.
Biomed. Signal Process. Control., 2021

2020
EEG signal classification using LSTM and improved neural network algorithms.
Soft Comput., 2020

DWT-based electromyogram signal classification using maximum likelihood-estimated features for neurodiagnostic applications.
Signal Image Video Process., 2020

Detection of Focal and Non-Focal Electroencephalogram Signals Using Fast Walsh-Hadamard Transform and Artificial Neural Network.
Sensors, 2020

Detection of focal epilepsy in brain maps through a novel pattern recognition technique.
Neural Comput. Appl., 2020

Morphological feature extraction and KNG-CNN classification of CT images for early lung cancer detection.
Int. J. Imaging Syst. Technol., 2020

Artifact cleaning of motor imagery EEG by statistical features extraction using wavelet families.
Int. J. Circuit Theory Appl., 2020

Detection of Parkinson's Disease from gait using Neighborhood Representation Local Binary Patterns.
Biomed. Signal Process. Control., 2020

2018
Classification of EEG signals for detection of epileptic seizure activities based on feature extraction from brain maps using image processing algorithms.
IET Image Process., 2018

Detection of Epileptic EEG Signal Using Improved Local Pattern Transformation Methods.
Circuits Syst. Signal Process., 2018

2015
Range-Based ICA Using a Nonsmooth Quasi-Newton Optimizer for Electroencephalographic Source Localization in Focal Epilepsy.
Neural Comput., 2015


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