ECG Classification and Analysis in a Zigbee Wireless Sensor Network. - Enda Barrett; Des Chambers; Cosmin Rotariu (BIOSIGNALS, 2009)

Evolving Group Coordination in an N-Player Game. - Enda Barrett; Enda Howley; Jim Duggan (ECAL (1), 2009)

A Learning Architecture for Scheduling Workflow Applications in the Cloud. - Enda Barrett; Enda Howley; Jim Duggan (ECOWS, 2011)

Applying reinforcement learning towards automating resource allocation and application scalability in the cloud. - Enda Barrett; Enda Howley; Jim Duggan (Concurr. Comput. Pract. Exp., 2013)

A parallel framework for Bayesian reinforcement learning. - Enda Barrett; Jim Duggan; Enda Howley (Connect. Sci., 2014)

Autonomous HVAC Control, A Reinforcement Learning Approach. - Enda Barrett; Stephen Linder (ECML/PKDD (3), 2015)

An Autonomous Network Aware VM Migration Strategy in Cloud Data Centres. - Martin Duggan; Jim Duggan; Enda Howley; Enda Barrett (ICCAC, 2016)

Single system image: A survey. - Philip D. Healy; Theo Lynn; Enda Barrett; John P. Morrison (J. Parallel Distributed Comput., 2016)

Predicting host CPU utilization in cloud computing using recurrent neural networks. - Martin Duggan; Karl Mason; Jim Duggan; Enda Howley; Enda Barrett (ICITST, 2017)

CPU workload forecasting of machines in data centers using LSTM recurrent neural networks and ARIMA models. - Deepak Janardhanan; Enda Barrett (ICITST, 2017)

An advanced reinforcement learning approach for energy-aware virtual machine consolidation in cloud data centers. - Rachael Shaw; Enda Howley; Enda Barrett (ICITST, 2017)

Predicting the Available Bandwidth on Intra Cloud Network Links for Deadline Constrained Workflow Scheduling in Public Clouds. - Rachael Shaw; Enda Howley; Enda Barrett (ICSOC, 2017)

A network aware approach for the scheduling of virtual machine migration during peak loads. - Martin Duggan; Jim Duggan; Enda Howley; Enda Barrett (Clust. Comput., 2017)

A reinforcement learning approach for the scheduling of live migration from under utilised hosts. - Martin Duggan; Jim Duggan; Enda Howley; Enda Barrett (Memetic Comput., 2017)

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

A Predictive Anti-Correlated Virtual Machine Placement Algorithm for Green Cloud Computing. - Rachael Shaw; Enda Howley; Enda Barrett (UCC, 2018)

Predicting host CPU utilization in the cloud using evolutionary neural networks. - Karl Mason; Martin Duggan; Enda Barrett; Jim Duggan; Enda Howley (Future Gener. Comput. Syst., 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)

An Energy Efficient and Interference Aware Virtual Machine Consolidation Algorithm Using Workload Classification. - Rachael Shaw; Enda Howley; Enda Barrett (ICSOC, 2019)

An energy efficient anti-correlated virtual machine placement algorithm using resource usage predictions. - Rachael Shaw; Enda Howley; Enda Barrett (Simul. Model. Pract. Theory, 2019)

A multitime-steps-ahead prediction approach for scheduling live migration in cloud data centers. - Martin Duggan; Rachael Shaw; Jim Duggan; Enda Howley; Enda Barrett (Softw. Pract. Exp., 2019)

Serverless Computing: Behind the Scenes of Major Platforms. - Daniel Kelly; Frank G. Glavin; Enda Barrett (CLOUD, 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)

Self-supervised network traffic management for DDoS mitigation within the ISP domain. - Ili Ko; Desmond Chambers; Enda Barrett (Future Gener. Comput. Syst., 2020)

Feature dynamic deep learning approach for DDoS mitigation within the ISP domain. - Ili Ko; Desmond Chambers; Enda Barrett (Int. J. Inf. Sec., 2020)

Adaptable feature-selecting and threshold-moving complete autoencoder for DDoS flood attack mitigation. - Ili Ko; Desmond Chambers; Enda Barrett (J. Inf. Secur. Appl., 2020)

An intelligent ensemble learning approach for energy efficient and interference aware dynamic virtual machine consolidation. - Rachael Shaw; Enda Howley; Enda Barrett (Simul. Model. Pract. Theory, 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)

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)

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)

Denial of wallet - Defining a looming threat to serverless computing. - Daniel Kelly; Frank G. Glavin; Enda Barrett (J. Inf. Secur. Appl., 2021)

Recurrent autonomous autoencoder for intelligent DDoS attack mitigation within the ISP domain. - Ili Ko; Desmond Chambers; Enda Barrett (Int. J. Mach. Learn. Cybern., 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)

Applying Reinforcement Learning towards automating energy efficient virtual machine consolidation in cloud data centers. - Rachael Shaw; Enda Howley; Enda Barrett (Inf. Syst., 2022)

A Multi-agent Systems Approach for Peer-to-Peer Energy Trading in Dairy Farming. - Mian Ibad Ali Shah; Abdul Wahid; Enda Barrett; Karl Mason (ECAI Workshops (2), 2023)

DoWTS - Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence. - Daniel Kelly; Frank G. Glavin; Enda Barrett (J. Intell. Inf. Syst., 2023)

Transfer Learning with TD3 for Adaptive HVAC Control in Diverse Building Environments. - Kevlyn Kadamala; Des Chambers; Enda Barrett (PAAMS (Workshops), 2024)

Reinforcement Learning Enabled Peer-to-Peer Energy Trading for Dairy Farms. - Mian Ibad Ali Shah; Enda Barrett; Karl Mason (PAAMS, 2024)

Enhancing HVAC Control Efficiency: A Hybrid Approach Using Imitation and Reinforcement Learning. - Kevlyn Kadamala; Des Chambers; Enda Barrett (ECML/PKDD (9), 2024)

Peer-to-peer energy trading in dairy farms using multi-agent systems. - Mian Ibad Ali Shah; Abdul Wahid; Enda Barrett; Karl Mason (Comput. Electr. Eng., 2024)

Multi-agent systems in Peer-to-Peer energy trading: A comprehensive survey. - Mian Ibad Ali Shah; Abdul Wahid; Enda Barrett; Karl Mason (Eng. Appl. Artif. Intell., 2024)

DoWNet - classification of Denial-of-Wallet attacks on serverless application traffic. - Daniel Kelly; Frank G. Glavin; Enda Barrett (J. Cybersecur., 2024)

Uncertainty-Aware Knowledge Transformers for Peer-to-Peer Energy Trading with Multi-Agent Reinforcement Learning. - Mian Ibad Ali Shah; Enda Barrett; Karl Mason (CoRR, 2025)