Now showing items 21-40 of 405

    • Judgments Of Emotional Reactions By Facial Emotion Recognition System: A Comparison 

      Malpani, Rishi (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2024)
      The research begins by asserting that a change in the movement of the muscle group responsible for executing a facial action unit permits one to ascertain the person?s emotional state. The connection between muscle movements ...
    • Diachronic Word Sense Induction 

      Alsulaimani, Ashjan (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2023)
      Learning from natural language is one of the great challenges of Natural Language Processing (NLP) and Machine Learning (ML). Word meanings evolve over time and one of the challenges is how to model such dynamic behaviour. ...
    • A Mobile Health Design Process to Improve User Engagement with Mobile Health 

      Ikwunne, Tochukwu Arinze (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2023)
      It has been shown that less than 25 percent of people continue to use health and wellness apps after the first time they use them. Despite the importance of user engagement for the efficacy of such apps and mobile health ...
    • An Investigation of Teaching Approaches in a Non-formal Setting: An Exploratory Case Study of Irish CoderDojos 

      Alsheaibi, Abeer Sulaiman (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2023)
      In a world where digital technologies are playing an ever-increasing role in peoples’ professional and personal lives, it is essential that individuals acquire the computer literacy skills needed to achieve their full ...
    • Understanding and Improving Physical Interactions in Virtual Reality 

      Yamac, Goksu (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2023)
      An important challenge in AR/VR is to enable virtual interactions that look and feel natural. Our goal in this work was to identify certain failures of AR/VR interactions, understand them, and propose solutions for them ...
    • An open source chatbot for a complex domain 

      Corcoran, Philip Francis (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2023)
      The call centre industry has grown rapidly due to advancements in information and communication technology that have enabled automation of many customer service tasks. The computerisation of customer relations has become ...
    • To what extent can a serious game elicit and evaluate nursing knowledge 

      Impey, Sinead (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2023)
      This research explores to what extent a serious game could elicit and evaluate specialist nursing knowledge. The problem addressed is that not all nursing knowledge is captured in a way that is easy to access outside the ...
    • Towards Efficient Visual Place Recognition Methods in Challenging Environments by Adaptive Representations 

      Aljuaidi, Reem (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2023)
      Visual Place Recognition (VPR) is the ability to recognize a place by providing a query im- age of an unknown location. The goal is to identify an image from a geotagged database of street-side imagery that depicts the ...
    • Optimising Energy Efficiency in UAV-Assisted Networks using Multi-Agent Reinforcement Learning 

      Omoniwa, Babatunji (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2023)
      The demand for cellular connectivity continues to witness unprecedented growth over the years. Unmanned Aerial Vehicles (UAVs) equipped with small cells can provide ubiquitous connectivity to static and mobile ground users ...
    • Information Visualisation Applied to Corpus Linguistic Methodologies 

      Sheehan, Shane
      This thesis uses established visualisation design methods to characterize problems in corpus linguistics. The identified problem areas are concordance collocation patterns, frequency list comparison, and concordance meta-data ...
    • Quality Improvement in the Mapping Process required for Linked Data publication 

      Randles, Alex (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2023)
      This thesis presents a quality improvement approach named the Mapping Quality Improvement (MQI) Framework designed to improve and maintain quality in the publication process involved in the creation of linked data. Linked ...
    • Measuring Online Community Health in Enterprise-owned Technical Support Forums 

      Timofeev, Mikhail
      Enterprise-owned online communities (OCs) are purpose-built virtual spaces that support various business activities, such as customer support, marketing and product development. These communities are formed with the objective ...
    • A Usable Knowledge Graph Framework for Linking Health Events with Environmental Data 

      Navarro Gallinad, Albert (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2023)
      Environmental exposures transported across air, land and water can affect our health making us more susceptible to developing a disease. Researchers studying these health-environment interactions integrate and link multiple ...
    • Optimization Models and Learning Algorithms for Slice Reservationin Virtualized Communication Networks 

      Monteil, Jean-Baptiste No?l-Marie (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2023)
      The surge of mobile users with increasing needs of data and services has brought a tremendous momentum to telecommunications. This revolution paves the way to the development of next generation mobile networks, able to ...
    • THE DESIGN SPACE OF MOBILE MENTAL HEALTH INTERVENTIONS FOR ANXIETY MANAGEMENT 

      Balaskas, Andreas (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2023)
      Digital mental health is a rapidly growing area within Human-Computer Interaction. Mental health problems will affect one-third of the population worldwide during their lifetime. At the present moment, anxiety disorders ...
    • On Multi-Radio Multi-ServerPowered Multi-Access EdgeComputing 

      Ali, Asad (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2023)
      Highly intelligent, automated and ubiquitous digital world will be hallmark of the coming decade. To achieve this, we need high-speed, highly-reliable connectivity between physical, digital and biological world. In terms ...
    • Repeated-measure analysis of the temporal nitrous oxide emissions from the multi-species mixtures 

      Hegde, Bharathkumar Shripad (Trinity College Dublin, 2021)
      Repeated measures analysis was applied to analyse the nitrous oxide (N2O) emission observed from an experiment that consisted of controlled agricultural plots with evenly distributed mixtures of species from three different ...
    • LDx: An electronic storyboard that supports the users' requirements process in developing a user interface for the clinician-researchers team. 

      Arce Olivares Hanlon, Rolando Israel (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2023)
      This thesis presents the development of an electronic storyboard named LDx, which stands for Linked Data Experience, to facilitate the users' requirements gathering in developing a future user interface to support data ...
    • Blockchain Layer2 Based Mass E-Commerce 

      Zhao, Sijia (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2023)
      Blockchain technology has become a new driving force for technological innovation and has the potential to revolutionize the e-commerce industry. Hundreds of millions of users, merchants and platforms can be connected to ...
    • Designing to Support Parental Involvement in Computer Science Education: An Exploratory Study 

      Bresnihan, Nina (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)
      The value of Parental Involvement (PI) in children's education is well established. There is also evidence that the quality and quantity of PI can be improved by well-designed interventions. However, PI in Computer Science ...