Tharun Kumar Reddy

According to our database, Tharun Kumar Reddy authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Chromatic Alpha Complex Generation for EEG Signal Classification.

Srikireddy Dhanunjay Reddy, Tharun Kumar Reddy, Hiroshi Higashi

Proceedings of the National Conference on Communications, 2024

2023

Meditative State Classification Using Neuronal Multi-IMF Band Power and Complexity Features.

Swati Singh, Vinay Gupta, Tharun Kumar Reddy, Laxmidhar Behera, Suvendu Samanta

Proceedings of the 28th National Conference on Communications, 2023

2022

EEG-Based Drowsiness Detection With Fuzzy Independent Phase-Locking Value Representations Using Lagrangian-Based Deep Neural Networks.

Tharun Kumar Reddy, Vipul Arora, Vinay Gupta, Rupam Biswas, Laxmidhar Behera

IEEE Trans. Syst. Man Cybern. Syst., 2022

Meditation and Cognitive Enhancement: A Machine Learning Based Classification Using EEG.

Swati Singh, Vinay Gupta, Tharun Kumar Reddy, Braj Bhushan, Laxmidhar Behera

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Performance study of Neural Structured Learning using Riemannian Features for BCI Classification.

Vinay Gupta, Jayasandhya Meenakshinathan, Tharun Kumar Reddy, Laxmidhar Behera

Proceedings of the 27th National Conference on Communications, 2022

Comparative Performance Analysis of Scalp EEG and Ear EEG based P300 Ambulatory Brain-Computer Interfaces using Riemannian Geometry and Convolutional Neural Networks.

Vartika Gupta, Tushar P. Kendre, Tharun Kumar Reddy, Vipul Arora

Proceedings of the 27th National Conference on Communications, 2022

2021

Joint Approximate Diagonalization Divergence Based Scheme for EEG Drowsiness Detection Brain Computer Interfaces.

Tharun Kumar Reddy, Yu-Kai Wang, Chin-Teng Lin, Javier Andreu-Perez

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020

HJB-Equation-Based Optimal Learning Scheme for Neural Networks With Applications in Brain-Computer Interface.

Tharun Kumar Reddy, Vipul Arora, Laxmidhar Behera

IEEE Trans. Emerg. Top. Comput. Intell., 2020

Formulating Divergence Framework for Multiclass Motor Imagery EEG Brain Computer Interface.

Satyam Kumar, Tharun Kumar Reddy, Vipul Arora, Laxmidhar Behera

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Fuzzy Divergence Based Analysis for Eeg Drowsiness Detection Brain Computer Interfaces.

Tharun Kumar Reddy, Vipul Arora, Laxmidhar Behera, Yu-Kai Wang, Chin-Teng Lin

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019

Multiclass Fuzzy Time-Delay Common Spatio-Spectral Patterns With Fuzzy Information Theoretic Optimization for EEG-Based Regression Problems in Brain-Computer Interface (BCI).

Tharun Kumar Reddy, Vipul Arora, Laxmidhar Behera, Yu-Kai Wang, Chin-Teng Lin

IEEE Trans. Fuzzy Syst., 2019

Electroencephalogram Based Reaction Time Prediction With Differential Phase Synchrony Representations Using Co-Operative Multi-Task Deep Neural Networks.

Tharun Kumar Reddy, Vipul Arora, Satyam Kumar, Laxmidhar Behera, Yu-Kai Wang, Chin-Teng Lin

IEEE Trans. Emerg. Top. Comput. Intell., 2019

Divergence Framework for EEG based Multiclass Motor Imagery Brain Computer Interface.

Satyam Kumar, Tharun Kumar Reddy, Laxmidhar Behera

CoRR, 2019

2018

EEG Based Motor Imagery Classification Using Instantaneous Phase Difference Sequence.

Satyam Kumar, Tharun Kumar Reddy, Laxmidhar Behera

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2017

HJB equation based learning scheme for neural networks.

Vipul Arora, Laxmidhar Behera, Tharun Kumar Reddy, Ajay Pratap Yadav

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Online Eye state recognition from EEG data using Deep architectures.

Tharun Kumar Reddy, Laxmidhar Behera

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016