Browsing by Subject "Machine Learning"
Now showing items 1-18 of 18
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Advances in evolutionary neural networks with applications in energy systems and the environment
(NUI Galway, 2018-08-29)Evolutionary neural networks combine two of the most powerful areas of computing, evolutionary algorithms and neural networks. There are a number of benefits of using evolutionary algorithms to train a network over traditional ... -
The application of machine learning to optimise live migration in cloud data centres
(NUI Galway, 2019-08-06)Cloud computing providers utilise large-scale data centres to provide computing resource to users’ worldwide. However, an ongoing challenge facing cloud providers is to ensure that the required resource is available to ... -
Applying informal health reports and search queries for public health monitoring: An evaluation of characteristics, potentials, and requirements of online self-reporting, discussions, and search behaviour
(NUI Galway, 2021-01-13)The introduction of digital data sources has positively impacted public health surveillance and has paved the way for novel approaches. Internet-based sources provide large volumes of data which can be analysed in near ... -
Applying machine learning towards automating resource management in cloud computing environments
(NUI Galway, 2021-01-28)Over the last number of years there has been high acceleration and widespread adoption of cloud based services by many different industries to improve the scalability and reliability of their services while also reducing ... -
Contextualised sentiment analysis in the financial domain
(NUI Galway, 2021-07-02)Sentiments and beliefs play an important role in actions and decisions in a market environment; for example, people disliking a brand will tend to avoid products of it or people aiming to reduce their carbon-dioxide footprint ... -
Detection and characterisation of partially occluded vulnerable road users
(NUI Galway, 2023-10-29)Accurate detection and classification of vulnerable road users (pedestrians, cyclists, and micro-mobility users) is a safety critical requirement for the deployment of autonomous vehicles in heterogeneous trac. Object ... -
Development of a novel water quality index model using data science approaches
(NUI Galway, 2023-05-30)The thesis present the Irish Water Quality Index (IEWQI) model for assessing transitional and coastal water quality in an effort to improve the method and develop a tool that can be used by environmental regulators to abate ... -
Dynamic Bayesian modelling of biological networks
(NUI Galway, 2021-10-25)In this thesis we review, analyse and develop a series of different algorithms to model dynamic variables of a system from the given data or domain knowledge, in order to identify the regulatory relationship between these ... -
Electrical impedance tomography for static lesion detection and identification in the brain
(NUI Galway, 2020-08-20)There is a clinical need for a novel approach to the detection of brain haemorrhage and clots. Such static lesions are characteristic of important conditions such as stroke, and traumatic brain injury. In these conditions ... -
Hybrid systems modelling aided by machine learning with applications in healthcare
(NUI Galway, 2018-03)Recent trends towards data-driven methods may require a substantial rethinking of the process of developing simulation models. For instance, Machine Learning (ML) has demonstrated great potentials for constructing new ... -
Linear regression for estimating bladder volume with voltage signals
(IEEE, 2018-11-08)Urinary incontinence is a common condition that can severely impact the lives of those who have it. Bladder volume monitoring solutions that exploit the electrical differences of different tissues in the pelvis have the ... -
Machine learning applied to electrical impedance tomography for the improved management of nocturnal enuresis
(NUI Galway, 2021-06-04)Nocturnal Enuresis (or bedwetting) is a condition that commonly affects children but can continue into adulthood. The condition can have serious implications on the quality of a child’s life. The current first-line medical ... -
Machine learning methods for quantitative analysis of Raman spectroscopy data
(Society of Photo-optical Instrumentation Engineers (SPIE), 2003-08-27)The automated identification and quantification of illicit materials using Raman spectroscopy is of significant importance for law enforcement agencies. This paper explores the use of Machine Learning (ML) methods in ... -
Semi-Supervised Technical Term Tagging With Minimal User Feedback
(2012)In this paper, we address the problem of extracting technical terms automatically from an unannotated corpus. We introduce a technology term tagger, that is based on Liblinear Support Vector Machines and employs linguistic ... -
Signal and image processing technology for smart agriculture applications
(NUI Galway, 2019-04-25)This thesis is concerned with development of signal and image processing technology for smart agriculture applications, with a particular focus on applications in automatic weeding systems. Developing an automatic weeding ... -
Suggestion mining from text
(NUI Galway, 2019-02-21)With the ever growing availability of opinions on the web, opinion mining has become a popular area of research in the fields of natural language processing and applied machine learning. We argue that opinion summaries ... -
Towards improved breast cancer diagnosis using microwave technology and machine learning
(NUI Galway, 2018-09-28)Today, the early detection of breast cancer for asymptomatic women primarily relies on generalised screening programmes with x-ray mammography. However, the long-term value of screening mammography has been questioned due ... -
Unsupervised target-driven artificial neural networks for dynamic DDoS mitigation within the ISP domain
(NUI Galway, 2020-10-08)Contemporary Distributed Denial-of-Service (DDoS) attack vectors can change their traffic patterns during the time when an attack is underway, and as such, pre-trained models can struggle to identify new attack traffic ...