Rajesh Panicker
Cited by
Cited by
An asynchronous P300 BCI with SSVEP-based control state detection
RC Panicker, S Puthusserypady, Y Sun
IEEE Transactions on Biomedical Engineering 58 (6), 1781-1788, 2011
Asynchronous P300 BCI: SSVEP-Based Control State Detection
RC Panicker, S Puthusserypady, AP Pryana, Y Sun
European Signal Processing Conference (EUSIPCO-2010), 2010
Project-based learning in embedded systems education using an FPGA platform
A Kumar, S Fernando, RC Panicker
IEEE transactions on education 56 (4), 407-415, 2013
Adaptation in P300 Brain–Computer Interfaces: A Two-Classifier Cotraining Approach
RC Panicker, S Puthusserypady, Y Sun
Biomedical Engineering, IEEE Transactions on 57 (12), 2927-2935, 2010
Low power optimisations for iot wearable sensors based on evaluation of nine qrs detection algorithms
J Li, A Ashraf, B Cardiff, RC Panicker, Y Lian, D John
IEEE Open Journal of Circuits and Systems 1, 115-123, 2020
Development of an FPGA-based real-time P300 speller
K Khurana, P Gupta, RC Panicker, A Kumar
Field Programmable Logic and Applications (FPL), 22nd International …, 2012
Multistage pruning of CNN based ECG classifiers for edge devices
L Xiaolin, RC Panicker, B Cardiff, D John
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
Binary classifiers for data integrity detection in wearable IoT edge devices
A John, RC Panicker, B Cardiff, Y Lian, D John
IEEE Open Journal of Circuits and Systems 1, 88-99, 2020
Enhancing VHDL learning through a light-weight integrated environment for development and automated checking
A Kumar, RC Panicker, A Kassim
Proceedings of 2013 IEEE International Conference on Teaching, Assessment …, 2013
Introducing fpga-based machine learning on the edge to undergraduate students
RC Panicker, A Kumar, D John
2020 IEEE Frontiers in Education Conference (FIE), 1-5, 2020
Exposing students to a state-of-the-art problem through a capstone project
RC Panicker, S Sasidhar, SY Jien, CKY Tan
2020 IEEE Frontiers in Education Conference (FIE), 1-8, 2020
Classification of ecg based on hybrid features using cnns for wearable applications
L Xiaolin, F Xiang, RC Panicker, B Cardiff, D John
arXiv preprint arXiv:2206.07648, 2022
Fully Remote Project-Based Learning of Hardware/Software Codesign
RC Panicker, D John
2021 IEEE Frontiers in Education Conference (FIE), 1-5, 2021
Adaptive learning and analytics in engineering education
RC Panicker, A Kumar, D Srinivasan, D John
2018 IEEE International Conference on Teaching, Assessment, and Learning for …, 2018
Adaptation and Control State Detection Techniques for Brain-Computer Interfaces
RC Panicker
National University of Singapore, 2011
A constrained genetic algorithm for efficient dimensionality reduction for pattern classification
RC Panicker, S Puthusserypady
Computational Intelligence and Security, 2007 International Conference on …, 2007
Binary ECG Classification Using Explainable Boosting Machines for IoT Edge Devices
L Xiaolin, W Qingyuan, RC Panicker, B Cardiff, D John
2022 29th IEEE International Conference on Electronics, Circuits and Systems …, 2022
Continuous User Authentication using IoT Wearable Sensors
C Smyth, G Wang, R Panicker, A Nag, B Cardiff, D John
2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021
Acceleration of genetic algorithm based FPGA placers using GPGPU
KY Cheong, RC Panicker
2016 IEEE Region 10 Conference (TENCON), 3801-3804, 2016
Atrial Fibrillation Detection Using Weight-Pruned, Log-Quantised Convolutional Neural Networks
XQ Chang, AF Chew, BCM Choong, S Wang, R Han, W He, L Xiaolin, ...
2022 IEEE 13th Latin America Symposium on Circuits and System (LASCAS), 1-4, 2022
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