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Computational Intelligence and Neuroscience|March 21, 2008
Enhanced detection of visual-evoked potentials in brain-computer interface using genetic algorithm and cyclostationary analysisCota Navin Gupta, Ramaswamy Palaniappan
Progress in Biomedical Engineering (Bristol, England)|December 10, 2024
Systematic review of experimental paradigms and deep neural networks for electroencephalography-based cognitive workload detectionVishnu K N, Cota Navin Gupta
Frontiers in Neuroinformatics|June 5, 2026
Long-range correlations in alpha-band of electroencephalogram: a nonlinear embedding and detrended fluctuation analysisDasari Shivakumar, Cota Navin Gupta, Budhaditya Hazra
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Sparsity Dependent Metrics Depict Alteration of Brain Network Connectivity in Parkinson's DiseaseTanmayee Samantaray, Jitender Saini, Cota Navin Gupta
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|February 7, 2007
Classification of homomorphic segmented phonocardiogram signals using grow and learn networkCota Navin Gupta, Ramaswamy Palaniappan, Sundaram Swaminathan
Experimental Brain Research|August 24, 2024
Understanding effects of observing affordance-driven action during motor imagery through EEG analysisSupriya Bordoloi, Cota Navin Gupta, Shyamanta M Hazarika
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Eye State Prediction on Android Devices using Machine Learning for Natural Environment Electroencephalogram ApplicationsDoli Hazarika, Sanjay Chhaba, Ramdas Ransing, et al.
Biomedical Physics & Engineering Express|January 23, 2026
On-device single channel EEG classification on Android smartphones using lightweight machine learning modelsDoli Hazarika, Sanjay Chhaba, Ramdas Ransing, et al.
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