Exploration and Object Recognition Using Cooperative Robots. - Declan O'Beirne; Michael Schukat (CISST, 2004)

ANN-based Diagnostic System for Arrhythmia with ECG Signals. - Dayong Gao; Michael G. Madden; Michael Schukat; Desmond Chambers; Gerard Lyons (Artificial Intelligence and Applications, 2005)

Face Player: a qualitative sonification for the visually impaired. - Oisín Curran; Seamus Torpey; Michael Schukat; Andy Shearer (Computational Imaging, 2005)

Collaborative Exploration for a Group of Self-Interested Robots. - Michael Schukat; Declan O'Beirne (CRV, 2005)

Authentication Using Virtual Certificate Authorities: A New Security Paradigm for Wireless Sensor Networks. - Edmond Holohan; Michael Schukat (NCA, 2010)

Right dose, right care, every time: A distributed system for quality use of drugs. - B. Rudroju; Michael Schukat; Peter Kidd (CBMS, 2011)

DigiSpenser - A GSM-based drug management and compliance monitoring system. - Michael Schukat; B. Rudroju (EMBC, 2011)

Optimising QoS of VoIP over wireless LANs via synchronized time. - Padraig O. Flaithearta; Hugh Melvin; Michael Schukat (WOWMOM, 2013)

A QoS enabled WiFi AP. - Padraig O. Flaithearta; Hugh Melvin; Michael Schukat (NOMS, 2014)

A QoS enabled multimedia WiFi access point. - Padraig O. Flaithearta; Hugh Melvin; Michael Schukat (Int. J. Netw. Manag., 2015)

Deep Reinforcement Learning: An Overview. - Seyed Sajad Mousavi; Michael Schukat; Enda Howley (IntelliSys (2), 2016)

Using analysis of temporal variances within a honeypot dataset to better predict attack type probability. - Seamus Dowling; Michael Schukat; Hugh Melvin (ICITST, 2017)

Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning. - Seyed Sajad Mousavi; Michael Schukat; Peter Corcoran 001; Enda Howley (CoRR, 2017)

A low-Cost, Open-Source, BCI- VR Game Control Development Environment Prototype for Game Based Neurorehabilitation. - Michael McMahon; Michael Schukat (GEM, 2018)

Using Reinforcement Learning to Conceal Honeypot Functionality. - Seamus Dowling; Michael Schukat; Enda Barrett (ECML/PKDD (3), 2018)

An enhanced sum rate in the cluster based cognitive radio relay network using the sequential approach for the future Internet of Things. - Md. Sipon Miah; Michael Schukat; Enda Barrett (Hum. centric Comput. Inf. Sci., 2018)

Machine Learning Methods Applied to Building Energy Production and Consumption Prediction. - Paulo Lissa; Dayanne Peretti; Michael Schukat; Enda Barrett; Federico Seri; Marcus Keane (AICS, 2019)

Using Magnetic Resonance Imaging to Distinguish a Healthy Brain from a Bipolar Brain: A Transfer Learning Approach. - Philip Martyn; Genevieve McPhilemy; Leila Nabulsi; Fiona Martyn; Colm McDonald; Dara M. Cannon; Michael Schukat (AICS, 2019)

Slave Clock Responses to Precision Time Protocol Attacks: A Case Study. - Waleed Alghamdi; Michael Schukat (Cyber Security, 2020)

Sensing and throughput analysis of a MU-MIMO based cognitive radio scheme for the Internet of Things. - Md. Sipon Miah; Michael Schukat; Enda Barrett (Comput. Commun., 2020)

Methodology for Building Synthetic Datasets with Virtual Humans. - Shubhajit Basak; Hossein Javidnia; Faisal Khan; Rachel McDonnell; Michael Schukat (CoRR, 2020)

Transfer Learning Applied to Reinforcement Learning-Based HVAC Control. - Paulo Lissa; Michael Schukat; Enda Barrett (SN Comput. Sci., 2020)

A Reliable Energy and Spectral Efficient Spectrum Sensing Approach for Cognitive Radio Based IoT Networks. - Mohammad Amzad Hossain; Michael Schukat; Enda Barrett (CCWC, 2021)

Learning Accurate Head Pose for Consumer Technology From 3D Synthetic Data. - Shubhajit Basak; Faisal Khan; Rachel McDonnell; Michael Schukat (ICCE, 2021)

MU-MIMO Based Cognitive Radio in Internet of Vehicles (IoV) for Enhanced Spectrum Sensing Accuracy and Sum Rate. - Mohammad Amzad Hossain; Michael Schukat; Enda Barrett (VTC Spring, 2021)

Learning 3D Head Pose From Synthetic Data: A Semi-Supervised Approach. - Shubhajit Basak; Peter Corcoran 001; Faisal Khan; Rachel McDonnell; Michael Schukat (IEEE Access, 2021)

Precision time protocol attack strategies and their resistance to existing security extensions. - Waleed Alghamdi; Michael Schukat (Cybersecur., 2021)

A throughput analysis of an energy-efficient spectrum sensing scheme for the cognitive radio-based Internet of things. - Md. Sipon Miah; Michael Schukat; Enda Barrett (EURASIP J. Wirel. Commun. Netw., 2021)

Enhancing the Spectrum Sensing Performance of Cluster-Based Cooperative Cognitive Radio Networks via Sequential Multiple Reporting Channels. - Mohammad Amzad Hossain; Michael Schukat; Enda Barrett (Wirel. Pers. Commun., 2021)

3D face-model reconstruction from a single image: A feature aggregation approach using hierarchical transformer with weak supervision. - Shubhajit Basak; Peter Corcoran 001; Rachel McDonnell; Michael Schukat (Neural Networks, 2022)

A Security Enhancement of the Precision Time Protocol Using a Trusted Supervisor Node. - Waleed Alghamdi; Michael Schukat (Sensors, 2022)

C3I SYNTHETIC FACE DEPTH DATASET. - Shubhajit Basak; Faisal Khan; Hossein Javidnia; Rachel McDonnell; Michael Schukat; Peter Corcoran 001 (IEEE DataPort, 2022)

Uncertainty-Aware Optimisation for Sustainable Multimedia Event Processing in Big Data Streams. - Felipe Arruda Pontes; Michael Schukat; Edward Curry (IEEE Big Data, 2023)

A Comparative Study of Open-Source Fuzzy Modelling Toolkit Licenses and Features. - Felipe Arruda Pontes; Edward Curry; Michael Schukat (FUZZ, 2023)

Fuzzy vs. Crisp in Uncertainty-Aware Service Selection: Enabling Sustainability on Multimedia Event Processing. - Felipe Arruda Pontes; Michael Schukat; Edward Curry (FUZZ, 2023)

Modelling Solar PV Adoption in Irish Dairy Farms Using Agent-Based Modelling. - Iias Faiud; Karl Mason; Michael Schukat (PKDD/ECML Workshops (3), 2023)

A lightweight 3D dense facial landmark estimation model from position map data. - Shubhajit Basak; Sathish Mangapuram; Gabriel Costache; Rachel McDonnell; Michael Schukat (CoRR, 2023)

ADT: Agent-based Dynamic Thresholding for Anomaly Detection. - Xue Yang; Enda Howley; Michael Schukat (CoRR, 2023)

Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNN. - Muhammad Ali Farooq; Wang Yao; Michael Schukat; Mark A Little; Peter Corcoran 001 (EMBC, 2024)

Optimizing Deep Reinforcement Learning for Adaptive Robotic Arm Control. - Jonaid Shianifar; Michael Schukat; Karl Mason (PAAMS (Workshops), 2024)

Joint Speech-Text Embeddings for Multitask Speech Processing. - Michael Gian Gonzales; Peter Corcoran 001; Naomi Harte; Michael Schukat (IEEE Access, 2024)

Real-Time Context-Aware Early Filtering for High-Definition Video Analytics on Commodity Edge Devices Using GenAI for Data Augmentation. - Felipe Arruda Pontes; Michael Schukat; Edward Curry (IEEE Access, 2024)

ADT: Time series anomaly detection for cyber-physical systems via deep reinforcement learning. - Xue Yang; Enda Howley; Michael Schukat (Comput. Secur., 2024)

C3I SYNTHETIC HUMAN DATASET. - Shubhajit Basak; Faisal Khan; Hossein Javidnia; Rachel McDonnell; Michael Schukat; Peter Corcoran 001 (IEEE DataPort, 2024)

Agent-based dynamic thresholding for adaptive anomaly detection using reinforcement learning. - Xue Yang; Enda Howley; Michael Schukat (Neural Comput. Appl., 2025)