Computer Science (Theses and Dissertations): Recent submissions
Now showing items 41-60 of 405
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Integrating Connected UAVs into Future Mobile Networks
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)With the increasing number of Unmanned Aerial Vehicles (UAVs) and their applications, such as performing search and rescue or transplant organ delivery, the need for improving the UAV connectivity grows. Currently, User ... -
Modelling Light Field Visual Attention: A Saliency Field Approach
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)Light field imaging is becoming more accessible, hence understanding how people perceive and interact with it will be of immense value. Although visual attention has been explored for traditional 2D images, we extend this ... -
Waste of Time - Examining the Politics and Temporal Practices of Smart Cities Through Urban Sanitation Systems
In the contemporary city, everything from traffic signals to street lighting to bus shelters are becoming part of the Internet of Things (IoT). With the capacity for sensing and monitoring and the all-important generation ... -
Spatio-Temporal Processes for Volumetric Video Content Creation
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)Volumetric Video is an emerging media platform which has recently undergone many new captivating developments. It could arguably be stated that recent uptake of volumetric video in consumer media would suggest that the ... -
Improving Saliency Metrics for Channel Pruning of Convolutional Neural Networks
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)Channel pruning is an effective technique to reduce the size of Convolutional Neural Networks (CNNs). A decisive part of any pruning algorithm is its saliency metric. We propose different techniques to improve saliency ... -
Adversarial Robustness of Representation Learning for Knowledge Graphs
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)Knowledge graphs represent factual knowledge about the world as relationships between concepts and are critical for intelligent decision making in enterprise applications. New knowledge is inferred from the existing facts ... -
Denoising approaches for data preparation in machine learning
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)Machine-learning models have been recently developed in various computer vision applications, such as image detention, segmentation and so on. Models are often trained based on data that present various levels of accuracy, ... -
Designing Touchless Interaction Interfaces for Medical Image Viewers
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)Clinical work in modern hospitals involves extensive use of digital medical imaging, with many specialities becoming reliant on real-time access to detailed imaging. The widespread use of technology such as digital imaging ... -
Algorithms for Quality Optimization in Omnidirectional Video
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)Omnidirectional video (ODV) is a recent imaging technology, which is currently getting increasingly popular thanks to its ability to create an immersive and interactive viewing experience. Nowadays, viewing ODV is becoming ... -
User Acceptance of Health and Mental Health Care Technologies
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)Health and wellbeing is a rapidly growing area within Human-Computer Interaction (HCI). In recent years, many have developed systems, theoretical stances, and methodologies that aim at positioning information and communication ... -
Improving the Accuracy of the Winograd Convolution for Deep Neural Networks
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)This thesis is focused on Winograd’s fast algorithms calculating discrete convolutions. More precisely, on the most optimal in terms of the number of operations subclass of them, that is Toom-Cook algorithms. These algorithms ... -
Exploration in Light Field processing and editing
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)Light fields have been used in computer science research for the better part of the last three decades, and the range of applications available is ever-growing. There exist several capture methods producing output images ... -
Cost-effective deployment strategies for the rural FTTH roll-out
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)The main topic of this dissertation revolves around the problem of ru- ral FTTH service roll-out. The problem has become topical worldwide, typically in the countries with rural populations scattered around. Never- theless, ... -
Strings for Temporal Annotation and Semantic Representation of Events
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)This work describes the use of strings as models for the representation of temporal data---that is, events and times, and their linear ordering and temporal inter-relations---to form the basis of a framework for reasoning ... -
CodePlus- Evaluating The Short and Long-Term Impact of a Computing Outreach Programme for Girls
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)Women s equal and meaningful participation in the digital society is seen as both integral to the realization of women s rights in the 21st century, as well as the realization of a just, inclusive and rights based information ... -
Enhanced PON Architectures for Converged Access Networks for 5G and Beyond
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)In the past few years, the existing telecommunication networks are challenged to support the growing number of internet-reliant devices (such as smartphones and other smart devices), increasing penetration of mobile and ... -
Game-Based Learning of Data Structures Based onAnalogies: Learning Gains andIntrinsic Motivation in Higher Education Environments
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)Many researchers have considered video games as effective learning tools. According to them, video games can increase intrinsic motivation and promote active learning. However, video games are a flexible medium, and they ... -
Automatic program generation for convolutional neural networks on resource constrained devices
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)Convolutional Neural Networks (CNNs) are both arithmetically and memory intensive when performing inference. This is a problem when executing CNNs on resource constrained machines, such as small embedded devices. This ... -
Developing Skills and Confidence in Non-Formal Education
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)There is a growing recognition of the value of 21st century (21C) skills for modern learners, and many education systems are seeking to employ strategies to help their students develop those skills. This push is based on ... -
Finance Art: On the Secret Life of Global Finance
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)While the impact of global finance and financialization can be seen everywhere, those machines themselves might appear abstract, complex, and difficult to grasp. Their connections with everyday life have become invisible ...