Browsing by Subject "Machine learning"
Now showing items 1-20 of 23
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CAL4AHU - Calibration of air handling unit models for fault detection and diagnosis
(NUI Galway, 2021-02-08)A systematic methodology for the automated calibration of Air Handling Unit (AHU) computational models for use in Fault Detection and Diagnosis (FDD) is investigated that requires a minimum dataset and produces a trade-off ... -
Classifying Physical Activities from Accelerometry data recorded from healthy, elderly and neurological subjects
(2012-12-22)By 2050 two billion people will be aged 60 or older representing 22% of the global population. As this skew in the population distribution develops the nature of elderly health care provision will need to evolve. This ... -
Composite measures for assessing multidimensional social exclusion in later life: Conceptual and methodological challenges
(Springer, 2021-01-25)Although there are a number of approaches to constructing a measure of multidimensional social exclusion in later life, theoretical and methodological challenges exist around the aggregation and weighting of constituent ... -
Deep learning for consumer devices and services: Pushing the limits for machine learning, artificial intelligence, and computer vision
(Institute of Electrical and Electronics Engineers (IEEE), 2017-04)In the last few years, we have witnessed an exponential growth in research activity into the advanced training of convolutional neural networks (CNNs), a field that has become known as deep learning. This has been triggered ... -
Design and development of a performance evaluation framework for remote eye gaze estimation systems
(NUI Galway, 2019-04-02)In this dissertation, a comprehensive evaluation framework for remote eye gaze estimation systems that are implemented in consumer electronics applications is developed. For this, firstly, a detailed literature review ... -
Designing environmentally efficient aquafeeds through the use of multicriteria decision support tools
(Elsevier, 2021-05-21)Aquaculture is the fastest growing food production system, and the sector accounts for more than half of all fish consumed. Its potential as a sustainable food source has been recognised within the EU Farm to Fork strategy ... -
The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data
(2005)The classi¿cation of high dimensional data, such as images, gene-expression data and spectral data, poses an interesting challenge to machine learning, as the presence of high numbers of redundant or highly correlated ... -
Estimation and analysis of gene expression and alternative splicing: perspectives from development and disease
(2014-01-30)The development of high-throughput genomics technologies has contributed substantially to the understanding of gene expression regulation. With the growing appreciation of the importance of alternative splicing, quantitative ... -
Evaluations of thermal imaging technology for automotive use cases
(NUI Galway, 2022-06-10)Thermal imaging has been widely used in high-end applications for instance industrial and military applications as it provides superior and effective results in challenging environments and weather conditions such that ... -
An evolutionary approach to automatic kernel construction
(2006)Abstract. Kernel-based learning presents a unified approach to machine learning problems such as classification and regression. The selection of a kernel and associated parameters is a critical step in the application of ... -
A hybrid method for rating prediction using linked data features and text reviews
(CEUR-WS.org, 2016)This paper describes our entry for the Linked Data Mining Challenge 2016, which poses the problem of classifying music albums as good or bad by mining Linked Data. The original labels are assigned according to aggregated ... -
Improved cardiac arrhythmia prediction based on heart rate variability analysis
(NUI Galway, 2021-05-10)Many types of ventricular and atrial cardiac arrhythmias have been discovered in clinical practice in the past 100 years, and these arrhythmias are a major contributor to sudden cardiac death. Ventricular tachycardia, ... -
In or out? Real-time monitoring of BREXIT sentiment on Twitter
(CEUR Workshop Proceedings, 2016-09-12)The SSIX (Social Sentiment analysis financial IndeXes) project is a European Innovation Project sponsored by the European Commission under the Horizon 2020 framework. SSIX aims to provide European SMEs with a collection ... -
Investigating the use of distributional semantic models for co-hyponym identification in special corpora
(2015-06-15)Knowledge is assumed by cognitive science to consist of concepts that are organised and maintained by complex processes taking place in human minds. These processes are not yet accessible directly. Language is still the ... -
Investigation into the Influence of Temperature on the Cryopreservation of Mesenchymal Stem Cells
(2012-09-28)Mesenchymal Stem Cells (MSCs) are utilised in regenerative medicine due to their multilineage differentiation potential, ease of isolation, capacity for in vitro expansion and wide-spread availability in the adult tissues. ... -
Machine learning and high-performance computing: Infrastructure and algorithms for the genome-scale study of genetic and epigenetic regulatory mechanisms with applications in neuroscience
(2014-06-30)The advent of next-generation sequencing (NGS) has fundamentally changed modern genomics re-search. These sequencers generate terabytes of data and necessitate the use, not only of high-performance compute (HPC) clusters ... -
A Machine Learning Application for Classification of Chemical Spectra
(2008)This paper presents a software package that allows chemists to analyze spectroscopy data using innovative machine learning (ML) techniques. The package, designed for use in conjunction with lab-based spectroscopic ... -
Multi-Class and Single-Class Classification Approaches to Vehicle Model Recognition from Images
(2005)This paper investigates the use of machine learning classification techniques applied to the task of recognising the make and model of vehicles. Although a number of vehicle classification systems already exist, most of ... -
Multiclass SVM for bladder volume monitoring using electrical impedance measurements
(IEEE, 2018-11-08)Urinary incontinence is a common condition that impacts the quality of life from those who suffer from it. Electrical impedance measurements offer the potential for a non-invasive low-cost solution to monitor changes in ... -
Qualitative and Quantitative Analysis of Chlorinated Solvents using Raman Spectroscopy and Machine Learning
(2005)The unambiguous identification and quantification of hazardous materials is of increasing importance in many sectors such as waste disposal, pharmaceutical manufacturing, and environmental protection. One particular ...