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Thesis/Dissertation from 2025 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

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

Analysis of Customer Churn in the Banking Sector and its Mitigating Factors., Fiachra O Callaghan

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

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 Financial Fraud Detection Using Explainable Deep Learning Models on Simulated Big Data Architectures: A Comparative Analysis with Traditional Methods., Aoife Yang

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

European Air pollution and the proposed timelines of implementing the World Health Organization 2021 Air Quality Guidelines CA3., Lukia Hartin

Evaluating the Effectiveness of Variational Mode Decomposition(VMD)-Enhanced Hybrid Models for Forecasting Volatile Price and Indicator Time Series., Danny Allen

Exogenous Variables in Time Series Forecasting During Economic Volatility: A Cross-Sector and Cross-Crisis Evaluation., Orla Kavanagh

Exploring the Determinants of Life Expectancy at Birth: Predicting and Forecasting Global Health Trends Using Statistical, Machine Learning, and Deep Learning Models., Emma Rath

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

Forecasting Hourly Police Call for Service Volumes: A Comparative Analysis of Statistical, Machine Learning and Neural Network Models for Operational Planning., Patrick Duggan

Forecasting Hourly Police Call for Service Volumes: A Comparative Analysis of Statistical, Machine Learning and Neural Network Models for Operational Planning., Patrick Duggan

Identifying and Forecasting Key Drivers of Greenhouse Gas Emissions in Ireland's Residential Sector Multivariate Time Series Analysis., Sallam Noor Aldeen Salman

Identifying Skills Gaps and Labour Market Trends Using Machine Learning: A Data Analysis of Tendencies Within the Irish Online Job Market., Stephen Ray

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 Analysis of Atlantic Meridional Overturning Circulation AMOC and Its Climatic Implications on Ireland Using Advanced Machine Learning Techniques., Corey Whyte

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 Actuarial Applications of Machine Learning and Big Data in the Life Assurance industry: Managing customer retention and customer outcomes by the application of data science., Brian Cunningham

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

Using Machine Learning to Predict Credit Card Fraud, Pedro Henrique das Chagas Morais

Thesis/Dissertation from 2024 2024

Analysing Natural Language Processing Techniques: A Comparative Study of NLTK, spaCy, BERT, and DistilBERT on Customer Query Datasets., Patrizia De Camillis

An investigation into the role of machine learning and deep learning models as a means of leveraging the ever-expanding volume of astronomical data to automate stellar classification., Gerard Heraghty

Application of Machine Learning algorithms to evaluate the changes in energy consumption in the Leinster area and subsequently the impact on consumer behaviour in the commercial sector., Maria Dominguez Alvarenga

Applying Neural Networks to Predict Factors Affecting Harmful Algal Blooms for Timely Alerting and Implementing Preventive Measures in Ireland's Marine Ecosystem., Nikolai Potapov

Assessment of the Impact of Various Feature Extraction Techniques on the Effectiveness of Music Genre Classification in Neural Network Models., Sabhdh Grace

Comparison of Classification Methodologies using Convolutional Neural Networks in a Dataset of Plant Leaf Diseases., Ruairi O’Donohoe

Data Analysis of Twitter’s Nasdaq100 Sentiments and Topics as Indicators for News Articles Retrieval: Fine-Tuning RoBERTa and RAG, Kagan Timur

Data Analysis of Twitter’s Nasdaq100 Sentiments and Topics as Indicators for News Articles Retrieval: Fine-Tuning RoBERTa and RAG., Kagan Timur

Deep Learning Model Compression for Resource-Constrained Environments., Stephen Burke

Developing a Convolutional Neural Network (CNN) Model for Facial Expression Recognition (FER), Danrlei Martins and Leonardo Diesel

Development and Optimisation of Convolutional Neural Networks (CNNs) to predict the nutrition and sustainability scores of foods from crowd sourced images., Cormac McElhinney

Evaluating the performance of different Long Short-Term Memory networks (LSTM’s) on financial timeseries data using mean squared error in order to identify the optimum LSTM variant for regression performance on financial timeseries data., Patrick O’ Connor

Evaluation and Development of Innovative NLP Techniques for Query-Focused Summarization Using Retrieval Augmented Generation (RAG) and a Small Language Model (SLM) in Educational Settings, Kirillos Akram Sawiras

Evaluation and Implementation of Machine Learning Models to Predict Customer Churn in the Telecommunications Sector., Stephen Hasson

Maize Crop Pests and Diseases Classification Using Hybrid Models., Diana Flora Namaemba

ML Predictive Model for Earthquakes Integrating Mass, Distance, Gravity, and Magnitude., Aadarsh Kushwaha

Movie Recommendation System., Ingrid Menezes Castro and Robert Szlufik

Responsible Natural Language Processing to aid Employee Performance Reviews., Grace Rubinger

Statistical and Machine Learning Techniques for Predicting Solar Power Generation in a Microgrid., Conor Dillon

Stock Market Predictions with Machine Learning ., Daniel Bezerra Martellini