Skip to main content

Dissertations

Submissions from 2024 2024

How Can A Cloud Computing IT Framework Be Created and Applied Effectively in the Online Printing Industry?, Stefan Meissner

A Fully Automated Global Post-hoc Method Based on Abstract Argumentation for Explainable Artificial Intelligence and its Application on Fully Connected Dense Deep Neural Networks, Giulia Vilone

Submissions from 2023 2023

Application of Shallow Neural Networks to Retail Intermittent Demand Time Series, Urko Allende

Evaluating the Performance of Vulkan GLSL Compute Shaders in Real-Time Ray-Traced Audio Propagation Through 3D Virtual Environments, James Buggy

The Vulnerability Through Cyberattacks Related to Technological Differences Between Centralized, Server-Based and Ethereum Based Smart Home Systems, Friederike Johanna Haberl

Evaluation of Text Transformers for Classifying Sentiment of Reviews by Using TF-IDF, BERT (word embedding), SBERT (sentence embedding) with Support Vector Machine Evaluation, Mina Jamshidian

Modelling and Mitigating Interlocutor Confusion in Situated Human-Avatar and Human-Robot Interaction, Na Li

A Style-Based Approach for Detecting COVID-19 Fake News, Richard Madden

The Use of Data Balancing Algorithms to Correct for the Under-Representation of Female Patients in a Cardiovascular Dataset, Sian Miller

Development of a Hospital Discharge Planning System Augmented with a Neural Clinical Decision Support Engine, David Mulqueen

The Effects of Disinformation Upon National Attitudes Towards the EU and its Institutions, Alex Murphy

Exploring Gender Bias in Semantic Representations for Occupational Classification in NLP: Techniques and Mitigation Strategies, Joseph Michael O'Carroll

A Computational Model of Trust Based on Dynamic Interaction in the Stack Overflow Community, Patrick O’Neill

EXPLOITING ASSOCIATION RULES MINING TO INFORM THE USE OF NON-MANUAL FEATURES IN SIGN LANGUAGE PROCESSING, Robert G. Smith

Probability Expressions in AI Decision Support: Impacts on Human+AI Team Performance, Elias Spinn

Explaining Deep Q-Learning Experience Replay with SHapley Additive exPlanations, Robert S. Sullivan

Submissions from 2022 2022

An Investigation of the Relationship Between Subjective Mental Workload and Objective Indicators of User Activity, Greg Byrne

An Investigation of the Relationship Between Subjective Mental Workload and Objective Indicators of User Activity, Greg Byrne

Dark Patterns: Effect on Overall User Experience and Site Revisitation, Deon Soul Calawen

Performance Evaluation of an Edge Computing Implementation of Hyperledger Sawtooth for IoT Data Security, Sean Connolly

Improving Dysarthric Speech Recognition by Enriching Training Datasets, Sophie Cullen

Hybridization of Biologically Inspired Algorithms for Discrete Optimisation Problems, Elihu Essian-Thompson

Evaluating the Performance of Vision Transformer Architecture for Deepfake Image Classification, Devesan Govindasamy

Scrolling vs Paging: Reading Performance and Preference of Reading Modes in Long-form Online News, Richard Herlihy

Ensemble Approach to the Semantic Segmentation of Satellite Images, Brendan Kent

Real-Time Stock Market Recommendation & Prediction using Multi Source Data, Kalpana Konety

Development of an Explainability Scale to Evaluate Explainable Artificial Intelligence (XAI) Methods, Stephen McCarthy

Development of an Explainability Scale to Evaluate Explainable Artificial Intelligence (XAI) Methods, Stephen McCarthy

COVID-19: A Review of Random Testing as an Augmentation of a Close-Contact Testing Regime in Response to the COVID-19 Pandemic, John McDonnell

Evaluating the Performance Impact of Fine-Tuning Optimization Strategies on Pre-Trained DistilBERT Models Towards Hate Speech Detection in Social Media, Aidan McGovern

Measuring and Comparing Social Bias in Static and Contextual Word Embeddings, Alan Cueva Mora

The Impact of Emotion Focused Features on SVM and MLR Models for Depression Detection, Alexandria Mulligan

KG-CNN: Augmenting Convolutional Neural Networks with Knowledge Graphs for Multi-Class Image Classification, Aidan O'Neill

Direct and constructivist approaches for the design of instruction in well-structured domains: a comparison of efficiency via mental workload and performance., Giuliano Orru

An Analysis on Network Flow-Based IoT Botnet Detection Using Weka, Cian Porteous

Evaluation Of Automated Eye Blink Artefact Removal Using Stacked Dense Autoencoder, Matthew Rigney

Examining the Effects of Disabilities on VR Usage and Accessibility Issues for Persons with Disabilities, Sean Williams

Submissions from 2021 2021

Evaluating the Performance of Transformer architecture over Attention architecture on Image Captioning, Deepti Balasubramaniam

A Hybrid Neural Network for Stock Price Direction Forecasting, Daniel Devine

Finetuning BERT and XLNet for Sentiment Analysis of Stock Market Tweets using Mixout and Dropout Regularization, Shubham Jangir

Human Age and Gender Classification using Convolutional Neural Networks, Eamon Kelliher

Event-driven servers using asynchronous, non-blocking network I/O: Performance evaluation of kqueue and epoll, Lorcan Leonard

Improving a Network Intrusion Detection System’s Efficiency Using Model-Based Data Augmentation, Vinicius Waterkemper Lodetti

Stellar classification of folded spectra using the MK Classification scheme and convolutional neural networks, John Magee

Can Generative Adversarial Networks Help Us Fight Financial Fraud?, Sean McIver

Combination of Facebook Prophet and Attention-Based LSTM with Multi- Source data for Indian Stock Market Prediction, Pavan Nagesh

Exploiting BERT and RoBERTa to Improve Performance for Aspect Based Sentiment Analysis, Gagan Reddy Narayanaswamy

Performance comparison between a distributed particle swarm algorithm and a centralised algorithm, Ciarán O’Loughlin

An Evaluation on the Performance of Code Generated with WebAssembly Compilers, Raymond Phelan

Identifying Roles of Software Developers from their Answers on Stack Overflow, Dean Power

A Comparison of Instructional Efficiency Models in Third Level Education, Murali Rajendran

Comparing the Explainability of Different Crop Disease Identification Models Using LIME, Tamil Selvi Bancras Samuel

Feature Augmentation for Improved Topic Modeling of Youtube Lecture Videos using Latent Dirichlet Allocation, Nakul Srikumar

Adequately Generating Captions for an Image Using Adaptive and Global Attention Mechanisms., Shravan Kumar Talanki Venkatarathanaiahsetty

Identifying significant features for Player Evaluation in NFL comparing ANNs and Traditional Models, Ronan Walsh

Submissions from 2020 2020

LightGWAS: A Novel Genome-Wide Association Study Procedure, Bruno Ambrozio

Transformer Neural Networks for Automated Story Generation, Kemal Araz

Noise Reduction of EEG Signals Using Autoencoders Built Upon GRU based RNN Layers, Esra Aynali

A Discrimination Aware Model to Predict Childhood Literacy Levels, Kate Byrne

Finetuning Pre-Trained Language Models for Sentiment Classification of COVID19 Tweets, Arjun Dussa

Machine Learning Assisted Gait Analysis for the Determination of Handedness in Able-bodied People, Hugh Gallagher

Content-based Filtering Recommendation Approach to Label Irish Legal Judgements, Sandesh Gangadhar

Stacked Convolutional Recurrent Auto-encoder for Noise Reduction in EEG, Eoghan Keegan

Investigating the Predictability of a Chaotic Time-Series Data using Reservoir Computing, Deep-Learning and Machine- Learning on the Short-, Medium- and Long-Term Pricing of Bitcoin and Ethereum., Molly Kenny

Investigating Effect of Amount of Augmented Data on Performance of Convolutional Neural Network for MultiClass Image Classification, Shivam Khandelwal

Evaluating BERT Embeddings for Text Classification in Bio-Medical Domain to Determine Eligibility of Patients in Clinical Trials, Saurabh Khodake

Identifying Online Sexual Predators Using Support Vector Machine, Yifan Li

Discover Inﬂuential Mental Workload Attributes Impacting Learners Performance in Third-Level Education, Amisha Mehta

Confusion Modelling - An Estimation by Semantic Embeddings, Praveen Mohanprasad

Image Instance Segmentation: Using the CIRSY System to Identify Small Objects in Low Resolution Images, Orghomisan William Omatsone

An Examination of the Smote and Other Smote-based Techniques That Use Synthetic Data to Oversample the Minority Class in the Context of Credit-Card Fraud Classification, Eduardo Parkinson de Castro

Adapting Microservices in the Cloud with FaaS, Mateusz Pietraszewski

Optimization of Home Mortgage Mover Predictive Model Applying Geo-Spatial Analysis and Machine Learning Techniques, Natalia Riscovaia

Improving Transfer Learning for Use in Multi-Spectral Data, Yuvraj Sharma

Detection of Pathological HFO Using Supervised Machine Learning and iEEG Data, Isabel L. Sicardi Rosell

Bimodal Emotion Classification Using Deep Learning, Ashutosh Kumar Singh

Classification of Animal Sound Using Convolutional Neural Network, Neha Singh

Synthetic Data Generation Using Wasserstein Conditional Gans With Gradient Penalty (WCGANS-GP), Manhar Singh Walia

An Evaluation of Text Representation Techniques for Fake News Detection Using: TF-IDF, Word Embeddings, Sentence Embeddings with Linear Support Vector Machine., Sangita Sriram

Brain Disease Detection From EEGS: Comparing Spiking and Recurrent Neural Networks for Non-stationary Time Series Classification, Hristo Stoev

A Comparative Study of Text Summarization on E-mail Data Using Unsupervised Learning Approaches, Tijo Thomas

Drug Reviews: Cross-condition and Cross-source Analysis by Review Quantification Using Regional CNN-LSTM Models, Ajith Mathew Thoomkuzhy

Customer Churn Prediction, Deepshikha Wadikar

Submissions from 2019 2019

Detection of Offensive YouTube Comments, a Performance Comparison of Deep Learning Approaches, Priyam Bansal

Predicting Violent Crime Reports from Geospatial and Temporal Attributes of US 911 Emergency Call Data, Vincent Corcoran

Is there a Correlation Between Wikidata Revisions and Trending Hashtags on Twitter?, Paula Dooley [Thesis]

An Investigation into the Predictive Capability of Customer Spending in Modelling Mortgage Default, Donal Finn [Thesis]

The Impact of Temporal Features in Music Genre Recognition, Víctor Santiago González

Noise Reduction in EEG Signals using Convolutional Autoencoding Techniques, Conor Hanrahan

Incorporating Semantic Information to FastText Word Vectors for Improved Sentiment Analysis, Colin Hayden

Predicting Customer Retention of an App-Based Business Using Supervised Machine Learning, Jeswin Jose

Investigation into the Perceptually Informed Data for Environmental Sound Recognition, Chenglin Kang

Analyzing Twitter Feeds to Facilitate Crises Informatics and Disaster Response During Mass Emergencies, Arshdeep Kaur

Validation of One-Class Classification in Pension Purchase Prediction, Eoin Kilbride

Comparing Defeasible Argumentation and Non-Monotonic Fuzzy Reasoning Methods for a Computational Trust Problem with Wikipedia, Ryan Kirwan

Forecasting Anomalous Events And Performance Correlation Analysis In Event Data, Sonya Leech [Thesis]

Hierarchical Cluster Analysis: A New Type of Ranking Criteria Based on ARWU Ranking Data, Zhengshuo Li

Augmenting American Fuzzy Lop to Increase the Speed of Bug Detection, Raviraj Mahajan

Unsupervised Early Detection of Fake News Articles Using Clustering Techniques, James McCarthy

Enhancing Partially Labelled Data: Self Learning and Word Vectors in Natural Language Processing, Eamon McEntee