Segui
Rajesh Panicker
Titolo
Citata da
Citata da
Anno
Asynchronous P300 BCI: SSVEP-Based Control State Detection
RC Panicker, S Puthusserypady, AP Pryana, Y Sun
European Signal Processing Conference (EUSIPCO-2010), 2010
2432010
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
982013
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
862010
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
222020
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 iná…, 2021
192021
Development of an FPGA-based real-time P300 speller
K Khurana, P Gupta, RC Panicker, A Kumar
Field Programmable Logic and Applications (FPL), 22nd Internationalá…, 2012
182012
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
122020
Fully remote project-based learning of hardware/software codesign
RC Panicker, D John
2021 IEEE Frontiers in Education Conference (FIE), 1-5, 2021
102021
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
102020
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, Assessmentá…, 2013
92013
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 Systemsá…, 2022
82022
Classification of ecg based on hybrid features using cnns for wearable applications
L Xiaolin, F Xiang, RC Panicker, B Cardiff, D John
2023 IEEE 5th International Conference on Artificial Intelligence Circuitsá…, 2023
62023
Adaptive learning and analytics in engineering education
RC Panicker, A Kumar, D Srinivasan, D John
2018 IEEE International Conference on Teaching, Assessment, and Learning forá…, 2018
52018
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
42020
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
32022
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
32021
Adaptation and Control State Detection Techniques for Brain-Computer Interfaces
RC Panicker
National University of Singapore, 2011
22011
A constrained genetic algorithm for efficient dimensionality reduction for pattern classification
RC Panicker, S Puthusserypady
Computational Intelligence and Security, 2007 International Conference oná…, 2007
22007
Acceleration of genetic algorithm based FPGA placers using GPGPU
KY Cheong, RC Panicker
2016 IEEE Region 10 Conference (TENCON), 3801-3804, 2016
12016
ProcGen-a framework for learning computer architecture
D Thangavel, RC Panicker, B Veeravalli
2016 IEEE Region 10 Conference (TENCON), 2366-2369, 2016
2016
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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