M. Schukat

发表

Nui, Galway Faculty of Engineering Research Day 2004

M. Schukat, .

Applying Q ( λ )-learning in Deep Reinforcement Learning to Play Atari Games

Michael Schukat, Patrick Mannion, Enda Howley, 2017 .

Securing critical infrastructure

M. Schukat, 2014, The 10th International Conference on Digital Technologies 2014.

Market-Based Collaborative Robot Exploration

M. Schukat, Declan O'Beirne, 2014 .

Arrhythmia Identification from Time Series Biosignal by Neural Network Classifier with Bayesian Framework

M. Schukat, Dayong Gao, M. Madden, 2008 .

3D face-model reconstruction from a single image: A feature aggregation approach using hierarchical transformer with weak supervision

M. Schukat, R. McDonnell, Peter Corcoran, 2022, Neural Networks.

Deep Reinforcement Learning: An Overview pdf

Michael Schukat, Enda Howley, Seyed Sajad Mousavi, 2016, IntelliSys.

High-Accuracy Facial Depth Models derived from 3D Synthetic Data

Peter Corcoran, Michael Schukat, Faisal Khan, 2020, 2020 31st Irish Signals and Systems Conference (ISSC).

Learning 3D Head Pose From Synthetic Data: A Semi-Supervised Approach

Peter Corcoran, Michael Schukat, Shubhajit Basak, 2021, IEEE Access.

Deep reinforcement learning for home energy management system control

Enda Barrett, Michael Schukat, Federico Seri, 2021 .

Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning pdf

Peter Corcoran, Michael Schukat, Enda Howley, 2017, ArXiv.

An enhanced sum rate in the cluster based cognitive radio relay network using the sequential approach for the future Internet of Things

Enda Barrett, Michael Schukat, Md. Sipon Miah, 2018, Hum. centric Comput. Inf. Sci..

Enhancing the Spectrum Sensing Performance of Cluster-Based Cooperative Cognitive Radio Networks via Sequential Multiple Reporting Channels

Enda Barrett, Michael Schukat, Mohammad Amzad Hossain, 2020, Wirel. Pers. Commun..

Using Reinforcement Learning to Conceal Honeypot Functionality

Enda Barrett, Michael Schukat, Seamus Dowling, 2018, ECML/PKDD.

Improving adaptive honeypot functionality with efficient reinforcement learning parameters for automated malware

M. Schukat, E. Barrett, Seamus Dowling, 2018, Journal of Cyber Security Technology.

Arrhythmia Identification from ECG Signals with a Neural Network Classifier Based on a Bayesian Framework

Michael G. Madden, Michael Schukat, Des Chambers, 2004 .

New framework for adaptive and agile honeypots

Enda Barrett, Michael Schukat, Seamus Dowling, 2020, ETRI Journal.

A ZigBee honeypot to assess IoT cyberattack behaviour

Michael Schukat, Hugh Melvin, Seamus Dowling, 2017, 2017 28th Irish Signals and Systems Conference (ISSC).

Sensing and throughput analysis of a MU-MIMO based cognitive radio scheme for the Internet of Things

Enda Barrett, Michael Schukat, Md. Sipon Miah, 2020, Comput. Commun..

Public key infrastructures and digital certificates for the Internet of things

Michael Schukat, Pablo Cortijo, M. Schukat, 2015, 2015 26th Irish Signals and Systems Conference (ISSC).

A low-Cost, Open-Source, BCI- VR Game Control Development Environment Prototype for Game Based Neurorehabilitation

Michael McMahon, Michael Schukat, M. Schukat, 2018, 2018 IEEE Games, Entertainment, Media Conference (GEM).

Using Magnetic Resonance Imaging to Distinguish a Healthy Brain from a Bipolar Brain: A Transfer Learning Approach

Colm McDonald, Michael Schukat, Dara M. Cannon, 2019, AICS.

A Detection Model Against Precision Time Protocol Attacks

Michael Schukat, Waleed Alghamd, M. Schukat, 2020, 2020 3rd International Conference on Computer Applications & Information Security (ICCAIS).

Joint Speech-Text Embeddings with Disentangled Speaker Features

M. Schukat, N. Harte, Peter Corcoran, 2023, 2023 34th Irish Signals and Systems Conference (ISSC).

A throughput analysis of an energy-efficient spectrum sensing scheme for the cognitive radio-based Internet of things

Enda Barrett, Michael Schukat, Md. Sipon Miah, 2021, EURASIP J. Wirel. Commun. Netw..

Deep Reinforcement Learning: An Overview

M. Schukat, E. Howley, Seyed Sajad Mousavi, 2016, IntelliSys.

Transfer learning applied to DRL-Based heat pump control to leverage microgrid energy efficiency

Enda Barrett, Michael Schukat, Marcus Keane, 2021, Smart Energy.

Zero-knowledge proofs in M2M communication

Michael Schukat, Padraig Flood, M. Schukat, 2014 .

A Reliable Energy and Spectral Efficient Spectrum Sensing Approach for Cognitive Radio Based IoT Networks

Enda Barrett, Michael Schukat, Mohammad Amazad Hossain, 2021, 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC).

Transfer Learning Applied to Reinforcement Learning-Based HVAC Control

Enda Barrett, Michael Schukat, Paulo Lissa, 2020, SN Computer Science.

Slave Clock Responses to Precision Time Protocol Attacks: A Case Study

Michael Schukat, Waleed Alghamdi, M. Schukat, 2020, 2020 International Conference on Cyber Security and Protection of Digital Services (Cyber Security).

Methodology for Building Synthetic Datasets with Virtual Humans

Faisal Khan, Michael Schukat, Rachel McDonnell, 2020, 2020 31st Irish Signals and Systems Conference (ISSC).

A Security Enhancement of the Precision Time Protocol Using a Trusted Supervisor Node

M. Schukat, Waleed Alghamdi, 2022, Sensors.

Authentication Using Virtual Certificate Authorities: A New Security Paradigm for Wireless Sensor Networks

Michael Schukat, Edmond Holohan, M. Schukat, 2010, 2010 Ninth IEEE International Symposium on Network Computing and Applications.

Using analysis of temporal variances within a honeypot dataset to better predict attack type probability

Michael Schukat, Hugh Melvin, Seamus Dowling, 2017, 2017 12th International Conference for Internet Technology and Secured Transactions (ICITST).

Data-centric framework for adaptive smart city honeynets

Michael Schukat, Hugh Melvin, Seamus Dowling, 2017, 2017 Smart City Symposium Prague (SCSP).

Digital certificate-based port knocking for connected embedded systems

Michael Schukat, Basim Mahbooba, M. Schukat, 2017, 2017 28th Irish Signals and Systems Conference (ISSC).

A QoS enabled multimedia WiFi access point

Michael Schukat, Hugh Melvin, Padraig O. Flaithearta, 2015, Int. J. Netw. Manag..