Browsing College of Engineering and Informatics by Author "Schukat, Michael"
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Arrhythmia Identification from ECG Signals with a Neural Network Classifier Based on a Bayesian Framework
Lyons, Gerard J.; Chambers, Des; Schukat, Michael; Madden, Michael G.; Gao, Dayong (2004)This paper presents an ANN-based diagnostic system for arrhythmia using Neural Network Classifier with Bayesian framework by time series biosignals. The Neural Network Classifier is built by the use of logistic regression ... -
Conference program and online proceedings of the Irish Machine Vision and Image Processing Conference 2023
Corcoran, Peter; Schukat, Michael; Murray, Niall; Farooq, Muhammad Ali; Javidnia, Hosein (University of Galway, 2023-08-30)The Irish Machine Vision and Image Processing Conference (IMVIP) Conference is the annual research conference of the Irish Pattern Recognition and Classification Society. The chief objective of the society is the advancement ... -
Deep reinforcement learning for home energy management system control
Lissa, Paulo; Deane, Conor; Schukat, Michael; Seri, Federico; Keane, Marcus; Barrett, Enda (Elsevier, 2021-12-26)The use of machine learning techniques has been proven to be a viable solution for smart home energy management. These techniques autonomously control heating and domestic hot water systems, which are the most relevant ... -
High-accuracy facial depth models derived from 3D synthetic data
Khan, Faisal; Basak, Shubhajit; Javidnia, Hossein; Schukat, Michael; Corcoran, Peter (Institute of Electrical and Electronics Engineers (IEEE), 2020-08-31)In this paper, we explore how synthetically generated 3D face models can be used to construct a high-accuracy ground truth for depth. This allows us to train the Convolutional Neural Networks (CNN) to solve facial depth ... -
Transfer learning applied to DRL-Based heat pump control to leverage microgrid energy efficiency
Lissa, Paulo; Schukat, Michael; Keane, Marcus M.; Barrett, Enda (Elsevier, 2021-09-11)Domestic hot water accounts for approximately 15% of the total residential energy consumption in Europe, and most of this usage happens during specific periods of the day, resulting in undesirable peak loads. The increase ...