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Most Recent Additions*

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

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 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

Optimizing LSTM Neural Network for Multimodal Multivariate Footfall Prediction.
Aws Al Adhami

Predicting Monthly Weather Anomalies in Ireland: A Comparative Study of Machine Learning and Deep Learning Models.
Fiona Behan

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

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

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

*Updated as of 03/23/26.