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Michael Schukat
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2020 – today
- 2024
- [j11]Xue Yang
, Enda Howley, Michael Schukat
:
ADT: Time series anomaly detection for cyber-physical systems via deep reinforcement learning. Comput. Secur. 141: 103825 (2024) - [i8]Muhammad Ali Farooq, Wang Yao, Michael Schukat, Mark A Little, Peter Corcoran:
Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNN. CoRR abs/2401.05159 (2024) - [i7]Iias Faiud, Michael Schukat, Karl Mason:
Modelling Solar PV Adoption in Irish Dairy Farms using Agent-Based Modelling. CoRR abs/2401.16222 (2024) - [i6]Jonaid Shianifar, Michael Schukat, Karl Mason:
Optimizing Deep Reinforcement Learning for Adaptive Robotic Arm Control. CoRR abs/2407.02503 (2024) - 2023
- [c22]Felipe Arruda Pontes, Michael Schukat, Edward Curry:
Uncertainty-Aware Optimisation for Sustainable Multimedia Event Processing in Big Data Streams. IEEE Big Data 2023: 5338-5345 - [c21]Felipe Arruda Pontes
, Edward Curry
, Michael Schukat
:
A Comparative Study of Open-Source Fuzzy Modelling Toolkit Licenses and Features. FUZZ 2023: 1-7 - [c20]Felipe Arruda Pontes
, Michael Schukat
, Edward Curry
:
Fuzzy vs. Crisp in Uncertainty-Aware Service Selection: Enabling Sustainability on Multimedia Event Processing. FUZZ 2023: 1-7 - [i5]Shubhajit Basak, Sathish Mangapuram, Gabriel Costache, Rachel McDonnell, Michael Schukat:
A lightweight 3D dense facial landmark estimation model from position map data. CoRR abs/2308.15170 (2023) - [i4]Xue Yang, Enda Howley, Michael Schukat:
ADT: Agent-based Dynamic Thresholding for Anomaly Detection. CoRR abs/2312.01488 (2023) - 2022
- [j10]Shubhajit Basak
, Peter Corcoran, Rachel McDonnell, Michael Schukat
:
3D face-model reconstruction from a single image: A feature aggregation approach using hierarchical transformer with weak supervision. Neural Networks 156: 108-122 (2022) - [j9]Waleed Alghamdi, Michael Schukat
:
A Security Enhancement of the Precision Time Protocol Using a Trusted Supervisor Node. Sensors 22(10): 3671 (2022) - [d1]Shubhajit Basak
, Faisal Khan
, Hossein Javidnia
, Rachel McDonnell, Michael Schukat
, Peter Corcoran
:
C3I SYNTHETIC FACE DEPTH DATASET. IEEE DataPort, 2022 - 2021
- [j8]Shubhajit Basak
, Peter Corcoran
, Faisal Khan, Rachel McDonnell
, Michael Schukat
:
Learning 3D Head Pose From Synthetic Data: A Semi-Supervised Approach. IEEE Access 9: 37557-37573 (2021) - [j7]Waleed Alghamdi
, Michael Schukat
:
Precision time protocol attack strategies and their resistance to existing security extensions. Cybersecur. 4(1): 12 (2021) - [j6]Md. Sipon Miah
, Michael Schukat
, Enda Barrett:
A throughput analysis of an energy-efficient spectrum sensing scheme for the cognitive radio-based Internet of things. EURASIP J. Wirel. Commun. Netw. 2021(1): 201 (2021) - [j5]Mohammad Amzad Hossain
, Michael Schukat
, Enda Barrett:
Enhancing the Spectrum Sensing Performance of Cluster-Based Cooperative Cognitive Radio Networks via Sequential Multiple Reporting Channels. Wirel. Pers. Commun. 116(3): 2411-2433 (2021) - [c19]Mohammad Amzad Hossain
, Michael Schukat
, Enda Barrett:
A Reliable Energy and Spectral Efficient Spectrum Sensing Approach for Cognitive Radio Based IoT Networks. CCWC 2021: 1569-1576 - [c18]Shubhajit Basak, Faisal Khan, Rachel McDonnell
, Michael Schukat
:
Learning Accurate Head Pose for Consumer Technology From 3D Synthetic Data. ICCE 2021: 1-6 - [c17]Mohammad Amzad Hossain, Michael Schukat
, Enda Barrett:
MU-MIMO Based Cognitive Radio in Internet of Vehicles (IoV) for Enhanced Spectrum Sensing Accuracy and Sum Rate. VTC Spring 2021: 1-7 - 2020
- [j4]Md. Sipon Miah
, Michael Schukat
, Enda Barrett:
Sensing and throughput analysis of a MU-MIMO based cognitive radio scheme for the Internet of Things. Comput. Commun. 154: 442-454 (2020) - [j3]Paulo Lissa, Michael Schukat, Enda Barrett:
Transfer Learning Applied to Reinforcement Learning-Based HVAC Control. SN Comput. Sci. 1(3): 127 (2020) - [c16]Waleed Alghamdi, Michael Schukat:
Slave Clock Responses to Precision Time Protocol Attacks: A Case Study. Cyber Security 2020: 1-4 - [i3]Shubhajit Basak, Hossein Javidnia, Faisal Khan, Rachel McDonnell, Michael Schukat:
Methodology for Building Synthetic Datasets with Virtual Humans. CoRR abs/2006.11757 (2020)
2010 – 2019
- 2019
- [c15]Philip Martyn, Genevieve McPhilemy, Leila Nabulsi, Fiona Martyn, Colm McDonald, Dara M. Cannon, Michael Schukat:
Using Magnetic Resonance Imaging to Distinguish a Healthy Brain from a Bipolar Brain: A Transfer Learning Approach. AICS 2019: 16-27 - [c14]Paulo Lissa, Dayanne Peretti, Michael Schukat, Enda Barrett, Federico Seri, Marcus Keane:
Machine Learning Methods Applied to Building Energy Production and Consumption Prediction. AICS 2019: 236-247 - 2018
- [j2]Md. Sipon Miah
, Michael Schukat
, Enda Barrett:
An enhanced sum rate in the cluster based cognitive radio relay network using the sequential approach for the future Internet of Things. Hum. centric Comput. Inf. Sci. 8: 16 (2018) - [c13]Michael McMahon, Michael Schukat:
A low-Cost, Open-Source, BCI- VR Game Control Development Environment Prototype for Game Based Neurorehabilitation. GEM 2018: 1-9 - [c12]Seamus Dowling
, Michael Schukat
, Enda Barrett:
Using Reinforcement Learning to Conceal Honeypot Functionality. ECML/PKDD (3) 2018: 341-355 - [i2]Seyed Sajad Mousavi, Michael Schukat, Enda Howley:
Deep Reinforcement Learning: An Overview. CoRR abs/1806.08894 (2018) - 2017
- [c11]Seamus Dowling
, Michael Schukat, Hugh Melvin:
Using analysis of temporal variances within a honeypot dataset to better predict attack type probability. ICITST 2017: 349-354 - [i1]Seyed Sajad Mousavi, Michael Schukat, Peter Corcoran, Enda Howley:
Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning. CoRR abs/1704.08883 (2017) - 2016
- [c10]Seyed Sajad Mousavi, Michael Schukat
, Enda Howley
:
Deep Reinforcement Learning: An Overview. IntelliSys (2) 2016: 426-440 - 2015
- [j1]Padraig O. Flaithearta, Hugh Melvin, Michael Schukat
:
A QoS enabled multimedia WiFi access point. Int. J. Netw. Manag. 25(4): 205-222 (2015) - 2014
- [c9]Padraig O. Flaithearta, Hugh Melvin, Michael Schukat:
A QoS enabled WiFi AP. NOMS 2014: 1-4 - 2013
- [c8]Padraig O. Flaithearta, Hugh Melvin, Michael Schukat:
Optimising QoS of VoIP over wireless LANs via synchronized time. WOWMOM 2013: 1-3 - 2011
- [c7]B. Rudroju, Michael Schukat, Peter Kidd:
Right dose, right care, every time: A distributed system for quality use of drugs. CBMS 2011: 1-6 - [c6]Michael Schukat, B. Rudroju:
DigiSpenser - A GSM-based drug management and compliance monitoring system. EMBC 2011: 5311-5314 - 2010
- [c5]Edmond Holohan, Michael Schukat:
Authentication Using Virtual Certificate Authorities: A New Security Paradigm for Wireless Sensor Networks. NCA 2010: 92-99
2000 – 2009
- 2005
- [c4]Dayong Gao, Michael G. Madden, Michael Schukat, Desmond Chambers, Gerard Lyons:
ANN-based Diagnostic System for Arrhythmia with ECG Signals. Artificial Intelligence and Applications 2005: 785-790 - [c3]Oisín Curran, Seamus Torpey, Michael Schukat
, Andy Shearer
:
Face Player: a qualitative sonification for the visually impaired. Computational Imaging 2005: 404-411 - [c2]Michael Schukat, Declan O'Beirne:
Collaborative Exploration for a Group of Self-Interested Robots. CRV 2005: 184-191 - 2004
- [c1]Declan O'Beirne, Michael Schukat:
Exploration and Object Recognition Using Cooperative Robots. CISST 2004: 592-598
Coauthor Index
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last updated on 2024-08-08 19:19 CEST by the dblp team
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