Computer Science (Theses and Dissertations): Recent submissions
Now showing items 61-80 of 405
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Personalized Type-based Facet Ranking For Faceted Search
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)Faceted Search Systems (FSSs) have gained prominence as one of the dominant search approaches in vertical search systems. They provide facets to educate users about the information space and allow them to refine their ... -
Arbitrary Precision and Low Complexity Micro-Architectural Arithmetic Optimisations of Machine Learning Algorithms for Compute Bound and High-Performance Systems
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)Artificial intelligence is becoming ubiquitous and pervasive in our daily lives. Machine learning (ML), a subset of Artificial intelligence (AI), supplies more accurate internet searches, voice recognition in home appliances, ... -
ETHOS Push: An Approach toward Empathetic Orchestration of Scrutable Push
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)There was a time, not so long ago, when our physical world would have seemed unfathomably large. But thanks, in part, to the meteoric rise of technology and its ability to connect far reaching parts of the universe, it has ... -
Improving Robustness Falsification for Medical Device Software
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)The artificial Pancreas(AP) is a closed-loop system based on the combination of a continuous glucose monitor, a computer-controlled algorithm, and an insulin pump (Blauw et al., 2016). Insulin pumps are designed for ... -
Dense Light Field Reconstruction: from Depth-based to Learning-based Approaches
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)Light field imaging and processing is an emerging technique that motivates production of 3D visual content and makes it possible to provide high quality immersive 3D experiences. The principle of light fields is designed ... -
Self-Adaptation to Interlingual Machine Mediated Communication
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)One of Claude Shannon s greatest contributions to computer science is considered to be the Information Theory. Put simply, what is the minimum amount of information (data) required to obtain an acceptable outcome. Computer ... -
The Influence of Personal Characteristics and Other Factors on the Susceptibility of Public Sector Employees to Cyber-Social Engineering Through LinkedIn: A Mixed-Methods Sequential Explanatory Study
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)To date, career-oriented social networking sites (CSNS) have not received sufficient attention from cybersecurity researchers. In today's world of increased online professional networking and communication, this means an ... -
Resource Management for Data Analytics in Edge Computing Networks
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)The emergence of Multi-access Edge Computing (MEC) aspires to divert the aggregation of data and their computation away from the cloud, and closer to the end users. At the same time IoT and mobile devices create a plethora ... -
Applications in Image Aesthetics Using Deep Learning: Attribute Prediction, Image Captioning and Score Regression
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)Image Aesthetics refers to the branch of computer vision which is about the study of aesthetic properties of photographs i.e. the factors which make an image look pleasing or dull. Such factors extend beyond the physical ... -
Towards Scrutable Decision Tree-based User Model utilising Interactive and Interpretable Machine Learning (SUM-IML)
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)Personalising user models has gained considerable attention in recent literature. In an information-rich environment, it is crucial not only to provide the information at any time, at any place, and in any form, but to ... -
Machine Learning For Plausible Gesture Generation From Speech For Virtual Humans
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)The growing use of virtual humans in an array of applications such as games, human-computer interfaces, and virtual reality demands the design of appealing and engaging characters, while minimizing the cost and time of ... -
Computerising a library catalogue using optical character recognition
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 1993)Trinity College Library contains several million books. Catalogues for the more modern books have been computerised to allow readers a fast and efficient means of locating a book. The 1872 Printed Catalogue which lists ... -
Enhancing the Transparency of Personal Data Access through Semantic Web Technologies
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)Nowadays, as the application of data-driven technologies and their influence in our lives grow exponentially, the amount of users information collected, stored, and exchanged increases accordingly. Therefore, it is ... -
Architectures and Algorithms for Transport-layer Multi-connectivity in Next Generation Wireless Networks
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)In this thesis, we make four contributions to Transport-layer Multi-connectivity (TLMC) in wireless networks. First, we address the challenges in deploying and using MPTCP as a higher-layer steering function in the 5G ... -
Ego-hand Gesture Recognition in Trimmed and Untrimmed Videos for Interactions in Augmented and Virtual Reality.
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)Hand gestures are used as a way of communication in our daily lives. Using hand gestures to interact with the virtual environment in Augmented and Virtual reality is a natural extension from the real to the virtual scenario. ... -
Composition and Dynamics of Multiparty Casual Conversation: A Corpus-based Analysis
This thesis provides a quantitative examination of multiparty casual talk, a speech genre which is fundamental to human social life. Multiparty casual conversation has been reported to comprise chat and chunk phases, where ... -
Exploring Parameters of Virtual Character Lighting Through Perceptual Evaluation and Psychophysical Modelling
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)This thesis explored the parameters of virtual character lighting and their connections to the perceived emotion and appeal of the character. Our main interest is to empirically evaluate various common practices of setting ... -
On the Disaggregation of Optical Networks
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)Optical network disaggregation is a novel technological paradigm enabling the mitigation of lock- in vendor constraints imposed within legacy systems, by aiming to standardise the control inter- faces embedded in optical ... -
Benchmarking Neural Networks on Heterogeneous Hardware
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)Neural Networks have become one of the most successful machine learning algorithms and are playing a key role in enabling machine vision and speech recognition. Their computational complexity and memory demands are challenging ... -
Exploration of Deep Learning Techniques for Natural Image Matting
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)Natural image matting is the process of estimating the opacity mask between the foreground object and the background in any type of image. This technique has manifold applications in image and video processing and ...
