RSS 1.0Computer Science (Theses and Dissertations)
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Modelling Large-scale Datasets Using Principal Component Analysis
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2020)Principal Component Analysis (PCA) is one of the most well-known unsupervised learning techniques used for dimensionality reduction and feature extraction. The main task of PCA is to compute a low-dimensional space that ... -
Representing Activities associated with Processing of Personal Data and Consent using Semantic Web for GDPR Compliance
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2020)The General Data Protection Regulation (GDPR) is a landmark law regarding privacy and data protection. GDPR stipulates potentially large fines if an organisation is found to not be compliant. This has resulted in research ... -
Monitoring & Predicting QoS in IoT Services
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2020)Internet of Things (IoT) applications can be built from a number of heterogeneous services provided by a range of devices, which are potentially resource constrained and/or mobile. These device characteristics can lead to ... -
Entity linking for text based cultural heritage collections
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2020)The ongoing digitisation of cultural heritage data and subsequent publication of that data in digital format has completely changed the manner in which people investigate and engage with cultural treasures. This change has ... -
uDiscovery: An Urban-Centric Model for Service Discovery in Smart Cities
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2020)Cities offer services to their citizens to improve their overall quality of life (e.g., education, or health care services) and these services are frequently supported by digital information (e.g., library opening hours ...
