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Michael Schukat
Michael Schukat
Lecturer in Computer Science, NUI Galway, Ireland
Verified email at nuigalway.ie - Homepage
Title
Cited by
Cited by
Year
Deep reinforcement learning: an overview
SS Mousavi, M Schukat, E Howley
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016: Volume …, 2018
4162018
Traffic light control using deep policy‐gradient and value‐function‐based reinforcement learning
SS Mousavi, M Schukat, E Howley
IET Intelligent Transport Systems 11 (7), 417-423, 2017
3562017
Deep reinforcement learning for home energy management system control
P Lissa, C Deane, M Schukat, F Seri, M Keane, E Barrett
Energy and AI 3, 100043, 2021
1172021
A ZigBee honeypot to assess IoT cyberattack behaviour
S Dowling, M Schukat, H Melvin
2017 28th Irish signals and systems conference (ISSC), 1-6, 2017
902017
Unintended consequences of wearable sensor use in healthcare
M Schukat, D McCaldin, K Wang, G Schreier, NH Lovell, M Marschollek, ...
Yearbook of medical informatics 25 (01), 73-86, 2016
682016
Public key infrastructures and digital certificates for the Internet of things
M Schukat, P Cortijo
2015 26th Irish signals and systems conference (ISSC), 1-5, 2015
512015
Classification of ECG arrhythmia using learning vector quantization neural networks
AM Elsayad
2009 International Conference on Computer Engineering & Systems, 139-144, 2009
472009
Portable medical monitoring and diagnostic system
D Chambers, G Lyons, M Madden, M Schukat
US Patent App. 11/658,629, 2009
402009
Arrhythmia identification from ECG signals with a neural network classifier based on a Bayesian framework
D Gao, M Madden, M Schukat, D Chambers, G Lyons
Proceedings of the 24th SGAI International Conference on Innovative …, 2004
402004
Arrhythmia identification from ECG signals with a neural network classifier based on a Bayesian framework
D Gao, M Madden, M Schukat, D Chambers, G Lyons
Proceedings of the 24th SGAI International Conference on Innovative …, 2004
402004
Learning to predict where to look in interactive environments using deep recurrent q-learning
S Mousavi, M Schukat, E Howley, A Borji, N Mozayani
arXiv preprint arXiv:1612.05753, 2016
362016
Using reinforcement learning to conceal honeypot functionality
S Dowling, M Schukat, E Barrett
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019
342019
Authentication using virtual certificate authorities: A new security paradigm for wireless sensor networks
E Holohan, M Schukat
2010 Ninth IEEE International Symposium on Network Computing and …, 2010
342010
Improving adaptive honeypot functionality with efficient reinforcement learning parameters for automated malware
S Dowling, M Schukat, E Barrett
Journal of Cyber Security Technology 2 (2), 75-91, 2018
322018
Peer to peer authentication for small embedded systems: A zero-knowledge-based approach to security for the Internet of Things
P Flood, M Schukat
The 10th International Conference on Digital Technologies 2014, 68-72, 2014
312014
Transfer learning applied to reinforcement learning-based hvac control
P Lissa, M Schukat, E Barrett
SN Computer Science 1 (3), 127, 2020
262020
Transfer learning applied to DRL-Based heat pump control to leverage microgrid energy efficiency
P Lissa, M Schukat, M Keane, E Barrett
Smart Energy 3, 100044, 2021
252021
An enhanced sum rate in the cluster based cognitive radio relay network using the sequential approach for the future Internet of Things
MS Miah, M Schukat, E Barrett
Human-centric Computing and Information Sciences 8, 1-27, 2018
242018
Precision time protocol attack strategies and their resistance to existing security extensions
W Alghamdi, M Schukat
Cybersecurity 4, 1-17, 2021
232021
Sensing and throughput analysis of a MU-MIMO based cognitive radio scheme for the Internet of Things
MS Miah, M Schukat, E Barrett
Computer Communications 154, 442-454, 2020
232020
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