1 citations · 1 across the 2 of their papers we have counts for
6 papers
Decoding Imagined Speech using Wavelet Features and Deep Neural Networks
Jerrin Thomas Panachakel, A. G. Ramakrishnan
This paper proposes a novel approach that uses deep neural networks for classifying imagined speech, significantly increasing the classification accuracy. The proposed approach emp…
A Novel Deep Learning Architecture for Decoding Imagined Speech from EEG
Jerrin Thomas Panachakel, A. G. Ramakrishnan, T. V. Ananthapadmanabha
The recent advances in the field of deep learning have not been fully utilised for decoding imagined speech primarily because of the unavailability of sufficient training samples t…
Two Tier Prediction of Stroke Using Artificial Neural Networks and Support Vector Machines
Jerrin Thomas Panachakel, Jeena R. S
Cerebrovascular accident (CVA) or stroke is the rapid loss of brain function due to disturbance in the blood supply to the brain. Statistically, stroke is the second leading cause…
An Improved EEG Acquisition Protocol Facilitates Localized Neural Activation
Jerrin Thomas Panachakel, Nandagopal Netrakanti Vinayak, Maanvi Nunna +2
This work proposes improvements in the electroencephalogram (EEG) recording protocols for motor imagery through the introduction of actual motor movement and/or somatosensory cues.…
High Resilience Diverse Domain Multilevel Audio Watermarking with Adaptive Threshold
Jerrin Thomas Panachakel, Anurenjan P. R
A novel diverse domain (DCT-SVD & DWT-SVD) watermarking scheme is proposed in this paper. Here, the watermark is embedded simultaneously onto the two domains. It is shown that an a…
Multi-level SVM Based CAD Tool for Classifying Structural MRIs
Jerrin Thomas Panachakel, Jeena R. S.
The revolutionary developments in the field of supervised machine learning have paved way to the development of CAD tools for assisting doctors in diagnosis. Recently, the former h…