Thesis/Dissertation from 2025
Optimizing LSTM Neural Network for Multimodal Multivariate Footfall Prediction., Aws Al Adhami
Identifying and Forecasting Key Drivers of Greenhouse Gas Emissions in Ireland's Residential Sector Multivariate Time Series Analysis., Sallam Noor Aldeen Salman
Improving Fairness in Convolutional Neural Networks for Demographic Face Classification., Leandro Andrade
Comparing Custom and Transfer-Learning CNN Models for Chest X-ray Classification: Evaluating Performance and Scalability with Kubernetes Orchestration., Christopher Anich
Improving the Completeness of Food Composition Databases Using Predictive Analysis., Carla Arenhart
Understanding Model Behaviour and Interpretability in Time Series Forecasting: A Deep Dive into LSTM and GRU with XAI Techniques., Federico Ariton
Predicting Monthly Weather Anomalies in Ireland: A Comparative Study of Machine Learning and Deep Learning Models., Fiona Behan
Discovering Latent Themes: Mixed-Methods Comparative Analysis of Topic Extraction and Clustering., Laura Byrne
A Comparative Analysis of Machine Learning and Neural Network Performance in House Price Prediction: Dublin Vs. Other Irish Regions, Diarmuid Carroll
Tour Demand Forecasting in Ireland: Development and Evaluation of Classical, Deep Learning, and Hybrid Models, Ruben Elias Charleston Montfort
Enhancing UK Electricity Price Forecasting Using Deep Learning., Stephen Cooke
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
Assemble the ensemble: A multi model approach for customer churn prediction in the gambling industry., Paul Corcoran
Big data vs Big law: The impact of big data and machine learning in anonymising or synthesizing data for use across borders., Kenneth Darker
Enhancing Insider Threat Detection Through A Hybrid Approach Using Different Artificial Intelligence Techniques., Jose Roberto Da Silva Dure
Chess Evaluation and Player Profiling using Convolutional Neural Networks (CNNs) and Spatial Recognition., Joel D’Mello
Deep Learning for Irish Garden Bird Identification: Exploring the Role of CNN-LSTM in Video-Based Recognition, Antonina Dolynenko
Time Series Forecasting in Financial Markets: Benchmarking the Temporal Fusion Transformer Against N-BEATS., Fergus Fleury
Exploring Workforce Attrition in Early Childcare Sector Using Data Segmentation, Machine Learning and Artificial Neural Networks., Anna Fontani-Tankovska
Predicting S&P Corporate Credit Ratings using Financial Ratios and Machine Learning: An Analysis of European Non-Financial Companies., Gabriele Frattaroli
Comparison of Convolutional Neural Network Architectures for the Classification of Microscopic Images: Performance Evaluation of Lightweight Models., Cristian Ricardo Gonzalez Donoso
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
Exogenous Variables in Time Series Forecasting During Economic Volatility: A Cross-Sector and Cross-Crisis Evaluation., Orla Kavanagh
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
An Enhanced Deep Learning Framework for Crop Disease Detection Using GAN-based Data Augmentation., Andrew Mc Guinn
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
The use of deep learning solutions to develop a practice tool to support Lámh language for communication partners, Gabriel Bueno Pimentel Borges
Investigating the Effectiveness of Traditional VS Hybrid Time Series Models in Operational Planning., Cristina Priolo
Comparison of Statistical, Machine Learning, and Deep Learning Models for Time-Series Forecasting Using Weather Data from Dublin, Ireland., Erick Eduardo Rios Treviño
Traditional vs Deep Learning Approaches for Efficient Electricity Consumption Prediction., Lucas Sant’Ana
Efficient Evaluation of NALA in ConvLSTM for High-Dimensional Time-Series Traffic-Flow Forecasting ., Sergej Sisov
A Comparative Analysis of the Performance of Customised and Pre-Trained Convolutional Neural Networks in the Classification of Facial Expressions., Guilherme Soares da Costa
Data-Driven Decarbonisation Strategy for Residential Buildings: A Q-Learning-Based Simulation Approach., Erdenechimeg Tserendorj
Clustering and Predictive Modelling of Cryptocurrencies: An Empirical Study of Lead–lag Dynamics and Forecasting Performance., Viktor Varga
Automated classification of cardiac anomalies through the analysis of electrocardiogram signals using convolutional neural networks., Yhosely Isset Villegas Baldiviezo
Leaf Classification Using Convolutional Neural Networks and Vision Transformers, Louis Wilkie
Enhancing Fake News and Rumor Detection Using Metadata, Context, and User Interaction with a Hybrid GCN-Transformer., Lucas Romulo Zuin Gigli
Thesis/Dissertation from 2024
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
Deep Learning Model Compression for Resource-Constrained Environments., Stephen Burke
Supply Chain Optimisation with Machine Learning and Neural Networks: Applications to Demand Planning, Supply Planning, and Inventory Planning., Laurence Cully
Analysing Natural Language Processing Techniques: A Comparative Study of NLTK, spaCy, BERT, and DistilBERT on Customer Query Datasets., Patrizia De Camillis
Statistical and Machine Learning Techniques for Predicting Solar Power Generation in a Microgrid., Conor Dillon
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
Evaluation and Implementation of Machine Learning Models to Predict Customer Churn in the Telecommunications Sector., Stephen Hasson
ML Predictive Model for Earthquakes Integrating Mass, Distance, Gravity, and Magnitude., Aadarsh Kushwaha
Using Unsupervised Learning Methods in Extracting Features for Classifying Rice Varieties from Rice Grains Images., Kevin Anthony Martinez
Development and Optimisation of Convolutional Neural Networks (CNNs) to predict the nutrition and sustainability scores of foods from crowd sourced images., Cormac McElhinney
Maize Crop Pests and Diseases Classification Using Hybrid Models., Diana Flora Namaemba
Comparison of Classification Methodologies using Convolutional Neural Networks in a Dataset of Plant Leaf Diseases., Ruairi O’Donohoe
Responsible Natural Language Processing to aid Employee Performance Reviews., Grace Rubinger
Thesis/Dissertation from 2023
Unlocking the Pragmatics of Emoji: Evaluation of the Integration of Pragmatic Markers for Sarcasm Detection, Niamh Farnham
Recurrent Neural Networks for Flash GDP Estimates in Ireland: A Comparison with Traditional Econometric Methods, Justin Flannery
Reinforcement Learning for Stock Option Trading, James Garza
Applying Machine Learning to Biological Status (QValues) from Physio-chemical Conditions of Irish Rivers, Raúl Martín Sánchez
Evaluating the Potential of Ensemble Learning for One Day-Ahead Forecasting of Power System Demand in Ireland, Karol Skowronski
Thesis/Dissertation from 2022
The use of deep learning solutions to develop a practice tool to support Lámh language for communication partners, Gabriel Bueno Pimentel Borges
Thesis/Dissertation from 2021
The shape of a photon, Christopher C. O’Neill