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Thesis/Dissertation from 2026
A Comparative Analysis of Supervised Machine Learning Techniques for Predicting IT Incident Resolution Time, Ammad Hussain and Hussnain Yaqoob
A comprehensive study of SARIMA and XGBoost models for short-term traffic volume forecasting at a Melbourne intersection (Victoria), Australia, Douglas Vinicius Dierings and Felipe Fontanive Marques
Balancing Accuracy and Discovery: A Bias-Aware Evaluation Framework for Music Recommendation, Jose Luis Maidana
Bitcoin Prediction System Usind Machine Learning Techniques, Carolina Azevedo de Castro
Comparative Economic Impact Modelling of Floods vs Drought on a Global Scale, Diogo Lemos Aguiar and Paulo Henrique Oliveira Machado
Deep Learning Based Classification of Retinal OCT Images Using Custom CNN and ResNet50, Ahmed Afzal
Design and Evaluation of a Supervised Machine Learning-Based Intrusion Detection System., Tarquin Qazi
Flood Risk Prediction System for Irish River Networks, Fernando Adalberto Naatz Heringer and Hugo Rodrigues de Freitas
Identifying New Programme Development Viability, Grant Goodwin
Machine Learning for Early Obesity Risk Prediction, Giuseppe Cutugno
Machine Learning System for Cereal Yield Prediction in South America., Victor Gabriel Oliveira and Kelvin Henrique Ferreira Dumas
Predicting CO₂ Emissions from Cattle-Driven Deforestation in the Amazon Rainforest Using Machine Learning, Daniel Ambrosio and Suelen Rocha
Predicting Loneliness Among Older Adults in Ireland Using Supervised Machine Learning, Ariadne Chaves Miranda
Predicting Product Returns in Online Retail, Mihaela Cristina Stefanache
Predicting the Next Recession with Machine Learning, David Heffernan
Predictive Analytics for Optimising Delivery Performance in Supply Chain Management, Vishwanath Sai Krishna Teja
Predictive Maintenance for Manufacturing Equipment, Paloma de Andrade Batista
PXAA: A Root-Cause Decision-Support System for Airline Passenger Complaints Using Sentiment Analysis and Complaint Classification, Adélia Acacio da Silva and Stefani Rabelo de Campos Nunes
Seasonal Dublin airport passenger arrivals forecast for the Economy Sector of Dublin Airport, Roberto Tavares de Oliveira Neto
Understanding Host Behaviour and Property Review Characteristics Using New York City Airbnb Dataset, Anna Szkwara
Thesis/Dissertation from 2025
A Comparative Analysis of Machine Learning and Neural Network Performance in House Price Prediction: Dublin Vs. Other Irish Regions, Diarmuid Carroll
A Comparative Analysis of the Performance of Customised and Pre-Trained Convolutional Neural Networks in the Classification of Facial Expressions., Guilherme Soares da Costa
Analysis of Customer Churn in the Banking Sector and its Mitigating Factors., Fiachra O Callaghan
An Enhanced Deep Learning Framework for Crop Disease Detection Using GAN-based Data Augmentation., Andrew Mc Guinn
Assemble the ensemble: A multi model approach for customer churn prediction in the gambling industry., Paul Corcoran
Automated classification of cardiac anomalies through the analysis of electrocardiogram signals using convolutional neural networks., Yhosely Isset Villegas Baldiviezo
Big data vs Big law: The impact of big data and machine learning in anonymising or synthesizing data for use across borders., Kenneth Darker
Brain Tumor Classification using Deep Learning: Custom CNN vs. ResNet50, Rayen Bentemessek
Brain Tumor Classification using Deep Learning- Poster, Rayen Bentemessek
Chess Evaluation and Player Profiling using Convolutional Neural Networks (CNNs) and Spatial Recognition., Joel D’Mello
Clustering and Predictive Modelling of Cryptocurrencies: An Empirical Study of Lead–lag Dynamics and Forecasting Performance., Viktor Varga
Comparative Evaluation of AI-Generated Synthetic Data and Real-World Data Performance in Predictive Analytics, Corey Louise Hughes
Comparative Evaluation of AI-Generated Synthetic Data and Real-World Data Performance in Predictive Analytics., Corey Louise Hughes
Comparing Custom and Transfer-Learning CNN Models for Chest X-ray Classification: Evaluating Performance and Scalability with Kubernetes Orchestration., Christopher Anich
Comparison of Convolutional Neural Network Architectures for the Classification of Microscopic Images: Performance Evaluation of Lightweight Models., Cristian Ricardo Gonzalez Donoso
Comparison of Statistical, Machine Learning, and Deep Learning Models for Time-Series Forecasting Using Weather Data from Dublin, Ireland., Erick Eduardo Rios Treviño
Credit Card Default Prediction Using Machine Learning., Yassine Zohair
Credit Card Fraud Detection., Sonia Ndonga
Customer Response to Marketing Campaigns., Alexandru Enoiu
Customer Service Support. Utilizing machine learning to classify, prioritize and summarize issues., Hoai Nhan Nguyen
Data Analysis for Maintenance reliability., Romulo Menezes Santos
Data-Driven Decarbonisation Strategy for Residential Buildings: A Q-Learning-Based Simulation Approach., Erdenechimeg Tserendorj
Data-Driven Public Transport Planning for Dublin: A Clustering and Forecasting Approach, Magdalena Burtinik Urueta and Mirae Yu
Data Driven Public Transport Planning in Dublin : A Clustering and Forecasting Approach, Magdalena Burtinik Urueta and Mirae Yu
Deep Learning for Irish Garden Bird Identification: Exploring the Role of CNN-LSTM in Video-Based Recognition, Antonina Dolynenko
Demand Forecasting and Inventory Optimization in Mid-Sized Grocery Retail Using Machine Learning: A Data-Driven Approach to Minimizing Stock-outs and Waste., Dragos Andrei Ungureanu
Detecting Fake News Using AI, Gustavo Lambert and Lucas Schultz
Detecting Fake News Using AI, Gustavo Lambert and Ignatio Varela
Development of a Deep Learning Model for Synthetic vs. Real Image Classification Synthetic vs. Real image classification, Bernardo Gandara and Ignacio Varela
Development of a Deep Learning Model for Synthetic vs. Real Image Classification Synthetic vs. Real image classification-Poster, Bernardo Gandara and Ignacio Varela
Discovering Latent Themes: Mixed-Methods Comparative Analysis of Topic Extraction and Clustering., Laura Byrne
Dogs Emotion System, Muhammad Anas Baig
Dogs Emotion System- Poster, Muhammad Anas Baig
Efficient Evaluation of NALA in ConvLSTM for High-Dimensional Time-Series Traffic-Flow Forecasting ., Sergej Sisov
Enhancing Fake News and Rumor Detection Using Metadata, Context, and User Interaction with a Hybrid GCN-Transformer., Lucas Romulo Zuin Gigli
Enhancing Insider Threat Detection Through A Hybrid Approach Using Different Artificial Intelligence Techniques., Jose Roberto Da Silva Dure
Enhancing UK Electricity Price Forecasting Using Deep Learning., Stephen Cooke
Exogenous Variables in Time Series Forecasting During Economic Volatility: A Cross-Sector and Cross-Crisis Evaluation., Orla Kavanagh
Exploring Workforce Attrition in Early Childcare Sector Using Data Segmentation, Machine Learning and Artificial Neural Networks., Anna Fontani-Tankovska
Fake News Detection Using Machine Learning Models., Anne Higgins
Identifying and Forecasting Key Drivers of Greenhouse Gas Emissions in Ireland's Residential Sector Multivariate Time Series Analysis., Sallam Noor Aldeen Salman
Implementation of Time Series and Neural Networks for Forecasting Agricultural Prices in the Irish Market: A Comparative Analysis of Milk, Beef, and Potatoes., César Augusto Núñez
Improving Chatbot Interactions Through AI-Driven Hate Speech Detection: Evolving to a Safer Digital Environment-Poster, Rata Gheorghita and Wellington Mariano
Improving Fairness in Convolutional Neural Networks for Demographic Face Classification., Leandro Andrade
Improving the Completeness of Food Composition Databases Using Predictive Analysis., Carla Arenhart
Investigating the Effectiveness of Traditional VS Hybrid Time Series Models in Operational Planning., Cristina Priolo
Leaf Classification Using Convolutional Neural Networks and Vision Transformers, Louis Wilkie
Neural Networks Activation Functions and Hybrid Activations Functions accuracy and loss comparison on small dataset against large datasets for classification problems, Antonio Felipe Cora Martins
Neural Networks Activation Functions and Hybrid Activations Functions accuracy and loss comparison on small dataset against large datasets for classification problems., Antonio Felipe Cora Martins
Optimizing LSTM Neural Network for Multimodal Multivariate Footfall Prediction., Aws Al Adhami
Player Transfer Market in European Football Using Machine Learning to analyse the evolution of the European football., Pablo Lopes de Souza Oliveira
Predicting Customer Churn and Enhancing Retention Strategies Through Machine Learning., Swan Saung Lwin
Predicting Customer Churn Using Machine Learning: A Data-Driven Approach, Alessandro Mendes Martins
Predicting Early Customer Inactivity in the Banking Sector Using Machine Learning: A Churn Prevention, Ivana Mc Fadden
Predicting early hospital readmissions for diabetic patients using machine learning, Amanda Ferraz and Leonardo Oliveira
Predicting early hospital readmissions for diabetic patients using machine learning- Poster, Amanda Ferraz and Leonardo Oliveira
Predicting Monthly Weather Anomalies in Ireland: A Comparative Study of Machine Learning and Deep Learning Models., Fiona Behan
Predicting Repeat Purchases in E-Commerce Using Interpretable Machine Learning, Zahid Bhatti
Predicting S&P Corporate Credit Ratings using Financial Ratios and Machine Learning: An Analysis of European Non-Financial Companies., Gabriele Frattaroli
Predictive Analytics for Customer Churns in Financial Services., Thant Thiha
Premier League results predictions, Laura Consuegra
Strategic Analysis of Employment Permit Statistics and Predictive Analytics for Workforce planning in Ireland, Amy Souza and Thaynna Vieira
Strategic Analysis of Employment Permit Statistics and Predictive Analytics for Workforce planning in Ireland- Poster, Amy Souza and Thaynna Vieira
The use of deep learning solutions to develop a practice tool to support Lámh language for communication partners, Gabriel Bueno Pimentel Borges
Time Series Forecasting in Financial Markets: Benchmarking the Temporal Fusion Transformer Against N-BEATS., Fergus Fleury
Tour Demand Forecasting in Ireland: Development and Evaluation of Classical, Deep Learning, and Hybrid Models, Ruben Elias Charleston Montfort
Traditional vs Deep Learning Approaches for Efficient Electricity Consumption Prediction., Lucas Sant’Ana
Understanding Model Behaviour and Interpretability in Time Series Forecasting: A Deep Dive into LSTM and GRU with XAI Techniques., Federico Ariton