Presented a paper titled “Coupling functions between brain waves: Significance of opened/closed eyes. 21st World Multiconference on Systemics, Cybernetics and Informatics (WMSCI 2017) Special track on Knowledge and Cognitive Science and Technologies: KCST 2017, July 8-11, 2017, Orlando, Florida, USA. Proceedings of the 21st World Multi-Conference on Systemics, Cybernetics and …
Read More »Wavelet Phase Coherence in EEG with EC and EO during resting states
Presented a paper titled “Wavelet Phase Coherence in EEG with EC and EO during resting states. 2015 Complex Adaptive Systems, Missouri University of Science and Technology, November 2-4, 2016, Los Angles, California, USA
Read More »Automated Breast Cancer Detection using Machine Learning Techniques by Extracting Different Feature Extracting Strategies
Presented a paper titled “Automated Breast Cancer Detection using Machine Learning Techniques by Extracting Different Feature Extracting Strategies” 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering, Proceedings of TrustCom/BigDataSE 2018 IEEE Catalog Number: CFP18TRU-USB, ISBN: …
Read More »Detecting Epileptic Seizure with Different Feature Extracting Strategies using Robust Machine Learning Classification Techniques by Applying Advance Parameter Optimization Approach
Epilepsy is a neurological disorder produced due to abnormal excitability of neurons in the brain. The research reveals that brain activity is monitored through electroencephalogram (EEG) of patients suffered from seizure to detect the epileptic seizure. The performance of EEG detection based epilepsy require feature extracting strategies. In this research, …
Read More »Spatial Wavelet-Based Coherence and Coupling in EEG Signals With Eye Open and Closed During Resting State
Biological signals represent patterns of change in the rhythms of biological systems providing a complementary way to study the dynamics of these systems. The research reported in this paper is based on methodological approaches used to quantify the dynamical fluctuations of neurophysiological systems. We use time-frequency representation (TFR) techniques including …
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