Search Results - "George, S. Thomas"

Detection of ADHD From EEG Signals Using Different Entropy Measures and ANN by Catherine Joy, R., Thomas George, S., Albert Rajan, A., Subathra, M.S.P.

“…Attention deficit hyperactivity disorder (ADHD) is a prevalent behavioral, cognitive, neurodevelopmental pediatric disorder. Clinical evaluations, symptom…”
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Detection of Focal and Non-Focal Electroencephalogram Signals Using Fast Walsh-Hadamard Transform and Artificial Neural Network by J, Prasanna, Subathra, M S P, Mohammed, Mazin Abed, Maashi, Mashael S, Garcia-Zapirain, Begonya, Sairamya, N J, George, S Thomas

“…The discrimination of non-focal class (NFC) and focal class (FC), is vital in localizing the epileptogenic zone (EZ) during neurosurgery. In the conventional…”
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Visual P300 Mind-Speller Brain-Computer Interfaces: A Walk Through the Recent Developments With Special Focus on Classification Algorithms by Philip, Jobin T., George, S. Thomas

“…Brain-computer interfaces are sophisticated signal processing systems, which directly operate on neuronal signals to identify specific human intents. These…”
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Automatic identification of schizophrenia using EEG signals based on discrete wavelet transform and RLNDiP technique with ANN by Sairamya, N.J., Subathra, M.S.P., Thomas George, S.

“…•Novel RLNDip technique for automatic identification of schizophrenia using EEG signals is proposed.•A fusion approach of DWT with RLNDiP technique is…”
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Classification of SSVEP-EEG signals using CNN and Red Fox Optimization for BCI applications by Bhuvaneshwari, M, Grace Mary Kanaga, E, George, S Thomas

“…Classification of electroencephalography (EEG) signals associated with Steady-state visually evoked potential (SSVEP) is prominent because of its potential in…”
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EEG-based classification of normal and seizure types using relaxed local neighbour difference pattern and artificial neural network by Sairamya, NJ, Subathra, MSP, Thomas, George S

“…Diagnosis of epileptic seizure types is vital for the neurologists to comprehend the cortical connectivity of the brain, and to initiate the apt treatment for…”
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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 by Kumar, S. Ananda, Subathra, M. S. P., Kumar, Nallapaneni Manoj, Malvoni, Maria, Sairamya, N. J., George, S. Thomas, Suviseshamuthu, Easter S., Chopra, Shauhrat S.

“…Finding an appropriate technique to detect an islanding issue is one of the major challenges associated with the design of a resilient grid-linked…”
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Modelling the daily reference evapotranspiration in semi-arid region of South India: A case study comparing ANFIS and empirical models by Gonzalez del Cerro, Ramiro T., Subathra, M.S.P, Manoj Kumar, Nallapaneni, Verrastro, Sebastian, Thomas George, S.

“…•Evapotranspiration estimation model that best adapts for semi-arid regions of India city is defined.•11 Adaptive Neuro-Fuzzy Inference System (ANFIS) for…”
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Detection of focal epilepsy in brain maps through a novel pattern recognition technique by Ceballos Dominguez, Eric, Subathra, M. S. P., Sairamya, N. J., Thomas George, S.

“…Focal epilepsy is a common neurological disorder of the brain. It is symbolized by recurring seizure activities in particular regions of the brain…”
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Robust Classification of Intramuscular EMG Signals to Aid the Diagnosis of Neuromuscular Disorders by Jose, Shobha, George, S. Thomas, Subathra, M. S. P., Handiru, Vikram Shenoy, Jeevanandam, Poornaselvan Kittu, Amato, Umberto, Suviseshamuthu, Easter Selvan

“…Goal: This article presents the design and validation of an accurate automatic diagnostic system to classify intramuscular EMG (iEMG) signals into healthy,…”
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Lung cancer detection and classification with DGMM-RBCNN technique by Jena, Sanjukta Rani, George, S. Thomas, Ponraj, D. Narain

“…Lung cancer holds a vital spot amidst the causes of cancer deaths among humans. The best way to maximize the survival rate of the patient with cancer is the…”
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A Bird’s Eye View Approach on the Usage of Deep Learning Methods in Lung Cancer Detection and Future Directions Using X-Ray and CT Images by Kalkeseetharaman, P. K., George, S. Thomas

“…This review article provides an overview of recent research on deep learning (DL) methods for identifying and classifying lung nodules in medical images, with…”
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Development of an intelligent model for musical key estimation using machine learning techniques by George, Abraham, Mary, X. Anitha, George, S. Thomas

“…Every piece of music is characterized by its key, melody, harmony, metre, and rhythm. Musical information retrieval tasks like transcription, chord estimation,…”
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Correction to: Development of an intelligent model for musical key estimation using machine learning techniques by George, Abraham, Mary, X. Anitha, George, S. Thomas

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Automated Epileptic Seizure Detection in Pediatric Subjects of CHB-MIT EEG Database—A Survey by Prasanna, J., Subathra, M. S. P., Mohammed, Mazin Abed, Damaševičius, Robertas, Sairamya, Nanjappan Jothiraj, George, S. Thomas

“…Epilepsy is a neurological disorder of the brain that causes frequent occurrence of seizures. Electroencephalography (EEG) is a tool that assists neurologists…”
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A new approach for automatic detection of focal EEG signals using wavelet packet decomposition and quad binary pattern method by Sairamya, N.J., Subathra, M.S.P., Suviseshamuthu, Easter S., Thomas George, S.

“…•QBP technique and WPD based QBP approach are proposed for classification of focal and non-focal EEG signals.•Proposed method outperforms the WPD based…”
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RETRACTED ARTICLE: EEG signal classification using LSTM and improved neural network algorithms by Nagabushanam, P., Thomas George, S., Radha, S.

“…Neural network (NN) finds role in variety of applications due to combined effect of feature extraction and classification availability in deep learning…”
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DWT-based electromyogram signal classification using maximum likelihood-estimated features for neurodiagnostic applications by Jose, Shobha, Thomas George, S., Roopchand, P. S.

“…Automated diagnosis of neuromuscular disorders such as myopathy and neuropathy can be done by measuring and analyzing the nonlinear and non-stationary trends…”
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A Fast Walsh-Hadamard transform (FWHT) For Detection of Freezing of Gait in Parkinson's disease using Machine learning techniques by Nancy, R, Thomas George, S, Prasanna, J, Subathra, M S P

“…Freezing of gait stands out as the most severe detrimental motor signs of advanced PD patients with an increased prevalence in the elderly, and frequently…”
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Range-based ICA using a nonsmooth quasi-newton optimizer for electroencephalographic source localization in focal epilepsy by Selvan, S Easter, George, S Thomas, Balakrishnan, R

“…Independent component analysis (ICA) aims at separating a multivariate signal into independent nongaussian signals by optimizing a contrast function with no…”
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