You may browse records below, or if desired, you may search ETDs based on any metadata included with the submission, including title, date, author, supervisor:
Capstone Project
(2025) The use of deep learning solutions to develop a practice tool to support Lámh language for communication partners, Gabriel Bueno Pimentel Borges
(2024) Applying Neural Networks to Predict Factors Affecting Harmful Algal Blooms for Timely Alerting and Implementing Preventive Measures in Ireland's Marine Ecosystem., Nikolai Potapov
(2025) Investigating the Effectiveness of Traditional VS Hybrid Time Series Models in Operational Planning., Cristina Priolo
(2020) MySmartPi, Camila Pulz de Faria, Fernando Aires da Silva, Jesus Colina Nunez, Reginaldo Pereira dos Santos, and Thenilde Borges
(2022) Artifact Development for the Prediction of Stress Levels on Higher Education Students using Machine Learning, Valentina Quiroga, Alejandra Hurtado, and José Rojas
(2020) Track My Ride, Cesar Padron Ramirez, Jady Silva Martins, Maria de la Luz Lagunas Modesto, Rodolfo Carvajal Marquez, and Yuri Braga
(2025) Identifying Skills Gaps and Labour Market Trends Using Machine Learning: A Data Analysis of Tendencies Within the Irish Online Job Market., Stephen Ray
(2020) Smart Wearable Device for Reduction of Parkinson’s Disease Hand-Tremor, Bruno Ribeiro, Leopoldo Medeiros, Rodrigo Aguiar, and Juan Carlos
(2025) Comparison of Statistical, Machine Learning, and Deep Learning Models for Time-Series Forecasting Using Weather Data from Dublin, Ireland., Erick Eduardo Rios Treviño
(2024) Responsible Natural Language Processing to aid Employee Performance Reviews., Grace Rubinger
(2025) Traditional vs Deep Learning Approaches for Efficient Electricity Consumption Prediction., Lucas Sant’Ana
(2025) Predicting Customer Churn and Enhancing Retention Strategies Through Machine Learning., Swan Saung Lwin
(2022) Smart Property Valuation. Problem Solving for Industry, David Silva, Luiz Augusto Dias, and Raul M. Fuzita
(2020) CONVERSA: A Community of Conversation, Leandro Silveira, Willian Antunes de Sousa, Richard Welbert Silva Biagi, Patricia Correia, and Lucas Freire
(2025) Efficient Evaluation of NALA in ConvLSTM for High-Dimensional Time-Series Traffic-Flow Forecasting ., Sergej Sisov
(2023) Evaluating the Potential of Ensemble Learning for One Day-Ahead Forecasting of Power System Demand in Ireland, Karol Skowronski
(2025) A Comparative Evaluation of the Effectiveness of Mel Frequency Cepstral Coefficients and Difference Files for Audio Effect Identification Using Convolutional Recurrent Neural Networks., Patrick Sneyd
(2025) A Comparative Analysis of the Performance of Customised and Pre-Trained Convolutional Neural Networks in the Classification of Facial Expressions., Guilherme Soares da Costa
(2025) Analysis of the Patterns and Features Importance in Predicting Demand for Sustainable Urban Mobility. A Comparative Analysis of Machine Learning Models Using the Dublin Bikes Dataset., Wojciech Sochanski
(2025) Strategic Analysis of Employment Permit Statistics and Predictive Analytics for Workforce planning in Ireland, Amy Souza and Thaynna Vieira
(2020) [CHAIN UP GROUP] Applied Technology Group Project, Maria Beluz Suarez and Haein Kim
(2025) Predictive Analytics for Customer Churns in Financial Services., Thant Thiha
(2024) Data Analysis of Twitter’s Nasdaq100 Sentiments and Topics as Indicators for News Articles Retrieval: Fine-Tuning RoBERTa and RAG, Kagan Timur
(2024) Data Analysis of Twitter’s Nasdaq100 Sentiments and Topics as Indicators for News Articles Retrieval: Fine-Tuning RoBERTa and RAG., Kagan Timur
(2019) E-Health Management System, Husnain Azeem Toor and
(2025) Data-Driven Decarbonisation Strategy for Residential Buildings: A Q-Learning-Based Simulation Approach., Erdenechimeg Tserendorj
(2025) Clustering and Predictive Modelling of Cryptocurrencies: An Empirical Study of Lead–lag Dynamics and Forecasting Performance., Viktor Varga
(2025) Automated classification of cardiac anomalies through the analysis of electrocardiogram signals using convolutional neural networks., Yhosely Isset Villegas Baldiviezo
(2025) Predictive Analysis of Atlantic Meridional Overturning Circulation AMOC and Its Climatic Implications on Ireland Using Advanced Machine Learning Techniques., Corey Whyte
(2025) Leaf Classification Using Convolutional Neural Networks and Vision Transformers, Louis Wilkie
(2025) Enhancing Financial Fraud Detection Using Explainable Deep Learning Models on Simulated Big Data Architectures: A Comparative Analysis with Traditional Methods., Aoife Yang
(2020) Student MeetUp: An AJS Project, Alejandro Zeballos, Suelen De Campos Fiorelo, and James Harris
(2025) Credit Card Default Prediction Using Machine Learning., Yassine Zohair
(2025) Enhancing Fake News and Rumor Detection Using Metadata, Context, and User Interaction with a Hybrid GCN-Transformer., Lucas Romulo Zuin Gigli
Poster
(2025) Dogs Emotion System- Poster, Muhammad Anas Baig
(2023) The Role of Data Analytics to Address Water Stress in Africa, Khalil Beladda
(2025) Brain Tumor Classification using Deep Learning- Poster, Rayen Bentemessek
(2025) Data Driven Public Transport Planning in Dublin : A Clustering and Forecasting Approach, Magdalena Burtinik Urueta and Mirae Yu
(2025) Predicting early hospital readmissions for diabetic patients using machine learning- Poster, Amanda Ferraz and Leonardo Oliveira
(2025) Development of a Deep Learning Model for Synthetic vs. Real Image Classification Synthetic vs. Real image classification-Poster, Bernardo Gandara and Ignacio Varela
(2025) Improving Chatbot Interactions Through AI-Driven Hate Speech Detection: Evolving to a Safer Digital Environment-Poster, Rata Gheorghita and Wellington Mariano
(2025) Detecting Fake News Using AI, Gustavo Lambert and Ignatio Varela
(2023) Pronostic of Colo-Rectal Cancer (CRC) Using Machine Learning Models on Organoids Derived of Patient, Claudia Andrea Leiva Acevedo
(2022) Defining financial risks and market trends through predictive data analysis, Marcelle Louise, Luciana Teixeira, Muhammad Shahbaz, and Giovanni Andrade
(2022) Defining financial risks and market trends through predictive data analysis, Marcelle Louise, Luciana Teixeira, Muhammad Shahbaz, and Giovanni Andrade
(2021) The shape of a photon, Christopher C. O’Neill
(2021) Mobile application to travel the world using virtual reality and machine learning, Valentina Quiroga, Francisco Olivares, and José Najera
(2022) Prediction of stress levels on Higher Education students using machine learning., Valentina Quiroga, Alejandra Quintanilla, and José Najera
(2025) Strategic Analysis of Employment Permit Statistics and Predictive Analytics for Workforce planning in Ireland- Poster, Amy Souza and Thaynna Vieira