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Capstone Project
(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
(2025) Optimizing LSTM Neural Network for Multimodal Multivariate Footfall Prediction., Aws Al Adhami
(2025) Identifying and Forecasting Key Drivers of Greenhouse Gas Emissions in Ireland's Residential Sector Multivariate Time Series Analysis., Sallam Noor Aldeen Salman
(2025) Evaluating the Effectiveness of Variational Mode Decomposition(VMD)-Enhanced Hybrid Models for Forecasting Volatile Price and Indicator Time Series., Danny Allen
(2025) Improving Fairness in Convolutional Neural Networks for Demographic Face Classification., Leandro Andrade
(2025) 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
(2025) Comparing Custom and Transfer-Learning CNN Models for Chest X-ray Classification: Evaluating Performance and Scalability with Kubernetes Orchestration., Christopher Anich
(2025) Improving the Completeness of Food Composition Databases Using Predictive Analysis., Carla Arenhart
(2025) Understanding Model Behaviour and Interpretability in Time Series Forecasting: A Deep Dive into LSTM and GRU with XAI Techniques., Federico Ariton
(2025) Dogs Emotion System, Muhammad Anas Baig
(2022) Problem Solving for Industry, Jozimar Basilio Ferreira, Nicholas Chibuike-Eruba, José Fernando González Anavia, and Jolomi (Oritsejolomi) Sillo
(2020) Using Object Detection Algorithm and Optical Character Recognition to Read Data from alphanumeric tags in text, Ana Bazerque, Davi Moraes, and Marcela Souza
(2025) Predicting Monthly Weather Anomalies in Ireland: A Comparative Study of Machine Learning and Deep Learning Models., Fiona Behan
(2025) Brain Tumor Classification using Deep Learning: Custom CNN vs. ResNet50, Rayen Bentemessek
(2024) Stock Market Predictions with Machine Learning ., Daniel Bezerra Martellini
(2025) Predicting Repeat Purchases in E-Commerce Using Interpretable Machine Learning, Zahid Bhatti
(2019) Ecological Expenses Tracker – EcoExT, Asmer Bracho, Carina Lins, Eduardo Firino, Gabriel Oliveira, and Miguelantonio Guerra
(2024) Deep Learning Model Compression for Resource-Constrained Environments., Stephen Burke
(2025) Data-Driven Public Transport Planning for Dublin: A Clustering and Forecasting Approach, Magdalena Burtinik Urueta and Mirae Yu
(2025) Discovering Latent Themes: Mixed-Methods Comparative Analysis of Topic Extraction and Clustering., Laura Byrne
(2025) A Comparative Analysis of Machine Learning and Neural Network Performance in House Price Prediction: Dublin Vs. Other Irish Regions, Diarmuid Carroll
(2024) Using Predictive Analytics to identify risk of Heart Disease based on lifestyle factors and health metrics., Luiza Cavalcanti Albuquerque Brayner and Edgard Pacheco
(2020) The Wall: A mobile app to identify and store social events from a digital image using computer vision, Akhill Chandran, Ana Julia Ortiz, Eliezer Maia Barbosa, Maura Carola Tangara, and Raquel Martini
(2025) Tour Demand Forecasting in Ireland: Development and Evaluation of Classical, Deep Learning, and Hybrid Models, Ruben Elias Charleston Montfort
(2023) Credit worthiness tool for Credit Unions, Rylee Christoffersen and Mario Ramalho
(2025) Premier League results predictions, Laura Consuegra
(2025) Enhancing UK Electricity Price Forecasting Using Deep Learning., Stephen Cooke
(2025) 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
(2025) Assemble the ensemble: A multi model approach for customer churn prediction in the gambling industry., Paul Corcoran
(2019) Chatterbox, Clayton Crispim, Jacqueline Siquiera de Medeiros, Joao Pedro Haddad Oliveira, Kleyton Soares, and Maria Fabiana Nunes dos Santos
(2024) Supply Chain Optimisation with Machine Learning and Neural Networks: Applications to Demand Planning, Supply Planning, and Inventory Planning., Laurence Cully
(2025) 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
(2025) Big data vs Big law: The impact of big data and machine learning in anonymising or synthesizing data for use across borders., Kenneth Darker
(2025) Using Machine Learning to Predict Credit Card Fraud, Pedro Henrique das Chagas Morais
(2025) Enhancing Insider Threat Detection Through A Hybrid Approach Using Different Artificial Intelligence Techniques., Jose Roberto Da Silva Dure
(2022) QUERAI – A Smart Quiz Generator, Elton da Silva, Fernando Aires da Silva, Kim Jang Womg, and Tai Teei Ho
(2019) Reviewable - Online review web application for the international English-language market, Aline da Silva Luciano, Adeel Mateen, and Fábio Bernardo Silva
(2024) Analysing Natural Language Processing Techniques: A Comparative Study of NLTK, spaCy, BERT, and DistilBERT on Customer Query Datasets., Patrizia De Camillis
(2024) Statistical and Machine Learning Techniques for Predicting Solar Power Generation in a Microgrid., Conor Dillon
(2025) Chess Evaluation and Player Profiling using Convolutional Neural Networks (CNNs) and Spatial Recognition., Joel D’Mello
(2025) Deep Learning for Irish Garden Bird Identification: Exploring the Role of CNN-LSTM in Video-Based Recognition, Antonina Dolynenko
(2024) 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
(2020) Applied Technology Group Project Documentation for NLS-Project, Cauê Duarte, Felipe Mantovani, Olga Kiseleva, and Taras Boreyko
(2025) Forecasting Hourly Police Call for Service Volumes: A Comparative Analysis of Statistical, Machine Learning and Neural Network Models for Operational Planning., Patrick Duggan
(2025) Forecasting Hourly Police Call for Service Volumes: A Comparative Analysis of Statistical, Machine Learning and Neural Network Models for Operational Planning., Patrick Duggan
(2025) Customer Response to Marketing Campaigns., Alexandru Enoiu
(2023) Unlocking the Pragmatics of Emoji: Evaluation of the Integration of Pragmatic Markers for Sarcasm Detection, Niamh Farnham
(2025) Predicting early hospital readmissions for diabetic patients using machine learning, Amanda Ferraz and Leonardo Oliveira
(2023) Menu Recommendation system using Machine Learning, Kelly Crystine Ferreira Jesus and Leo Jaime Kayser Macieski
(2023) Recurrent Neural Networks for Flash GDP Estimates in Ireland: A Comparison with Traditional Econometric Methods, Justin Flannery
(2025) Time Series Forecasting in Financial Markets: Benchmarking the Temporal Fusion Transformer Against N-BEATS., Fergus Fleury
(2025) Exploring Workforce Attrition in Early Childcare Sector Using Data Segmentation, Machine Learning and Artificial Neural Networks., Anna Fontani-Tankovska
(2025) Predicting S&P Corporate Credit Ratings using Financial Ratios and Machine Learning: An Analysis of European Non-Financial Companies., Gabriele Frattaroli
(2025) Development of a Deep Learning Model for Synthetic vs. Real Image Classification Synthetic vs. Real image classification, Bernardo Gandara and Ignacio Varela
(2020) AdvCon, Beacon devices and electronic advertisement, Edwin Ibrahim Garces, Eduard Fernando Cuadros, Thiago Almeida, and Ben O'Leary
(2023) Reinforcement Learning for Stock Option Trading, James Garza
(2019) B-Quest: Experience Your Gift, Mowhile Geek, Ailem Garcia, Ronald Torres, Juan Martin, Johan Quiroz, Robert Flores, and Maria F. Torres
(2020) RETAIL HEALTH & SAFETY DIGITAL MANAGEMENT SYSTEM, Anderson Oliveira Gomes, David Carvalho, and Henrique Atanasio Wegner
(2025) Comparison of Convolutional Neural Network Architectures for the Classification of Microscopic Images: Performance Evaluation of Lightweight Models., Cristian Ricardo Gonzalez Donoso
(2024) Assessment of the Impact of Various Feature Extraction Techniques on the Effectiveness of Music Genre Classification in Neural Network Models., Sabhdh Grace
(2019) Supervised Machine Learning Models for Fake News Detection, Gofaas Group, Andrea Lopez, Adelo Vieira, Zafar Ahsan, Farooq Saqib, and Shirley Marinho
(2025) European Air pollution and the proposed timelines of implementing the World Health Organization 2021 Air Quality Guidelines CA3., Lukia Hartin
(2024) Evaluation and Implementation of Machine Learning Models to Predict Customer Churn in the Telecommunications Sector., Stephen Hasson
(2023) Facial Recognition using Neural Network, Georges Diego Hawile Pinheiro and Allison Alves de Moura
(2024) 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
(2025) Fake News Detection Using Machine Learning Models., Anne Higgins
(2025) Comparative Evaluation of AI-Generated Synthetic Data and Real-World Data Performance in Predictive Analytics., Corey Louise Hughes
(2025) Comparative Evaluation of AI-Generated Synthetic Data and Real-World Data Performance in Predictive Analytics, Corey Louise Hughes
(2025) Exogenous Variables in Time Series Forecasting During Economic Volatility: A Cross-Sector and Cross-Crisis Evaluation., Orla Kavanagh
(2024) ML Predictive Model for Earthquakes Integrating Mass, Distance, Gravity, and Magnitude., Aadarsh Kushwaha
(2025) Detecting Fake News Using AI, Gustavo Lambert and Lucas Schultz
(2023) An assessment of the effectiveness of using data analytics to predict death claim seasonality and protection policy review lapses in a life insurance company, Jennifer Loftus
(2019) Supervised Machine Learning Models for Fake News Detection, Andrea Lopez, Adelo Vieira, Zafar Ahsan, Farooq Sabib, and Shirley Marinho
(2019) RaspBot - Raspberry Pi-powered Robot controlled by a WebApp, Julio Lopez, Eric Michel, Jhon Loiaza, Nancy Aguilera, and Vilmarys Salgado
(2024) Using Machine Learning to Identify Hate Speech and Offending Language on Twitter., Mayara Lorens and Thayene Lorens
(2024) Using Unsupervised Learning Methods in Extracting Features for Classifying Rice Varieties from Rice Grains Images., Kevin Anthony Martinez
(2023) Applying Machine Learning to Biological Status (QValues) from Physio-chemical Conditions of Irish Rivers, Raúl Martín Sánchez
(2025) 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
(2020) HELP US TECHNOLOGY: CREATED BY STUDENTS FOR STUDENTS, Celso Martins, Fabiana Friedrich, Guilherme Tenorio, and Vinicius Martins
(2024) Developing a Convolutional Neural Network (CNN) Model for Facial Expression Recognition (FER), Danrlei Martins and Leonardo Diesel
(2023) Predicting the effects of Climate Change on Irish Agriculture, Rodrigo Matsumoto and Sarah Kuprian Carrinho
(2023) Fake News Detection using Natural Language Processing, Fabiolla Mayrink Costa and Rael Guimaraes
(2024) Development and Optimisation of Convolutional Neural Networks (CNNs) to predict the nutrition and sustainability scores of foods from crowd sourced images., Cormac McElhinney
(2025) Predicting Early Customer Inactivity in the Banking Sector Using Machine Learning: A Churn Prevention, Ivana Mc Fadden
(2025) An Enhanced Deep Learning Framework for Crop Disease Detection Using GAN-based Data Augmentation., Andrew Mc Guinn
(2025) Predicting Customer Churn Using Machine Learning: A Data-Driven Approach, Alessandro Mendes Martins
(2024) Movie Recommendation System., Ingrid Menezes Castro and Robert Szlufik
(2025) Data Analysis for Maintenance reliability., Romulo Menezes Santos
(2020) POD: Plenty Of Dogs, Adriana Moreira, Claudio Santana, Jordana Marques, Kevin Cardoso, and Larissa Fernandes
(2020) LI-FI Share (LFS): See What Light Can Do, Gamaliel Munoz, Anant Tandon, Juliana Sousa, and Zohaib Qaiser
(2024) Maize Crop Pests and Diseases Classification Using Hybrid Models., Diana Flora Namaemba
(2025) Credit Card Fraud Detection., Sonia Ndonga
(2025) Customer Service Support. Utilizing machine learning to classify, prioritize and summarize issues., Hoai Nhan Nguyen
(2025) 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
(2025) Analysis of customer churn in the banking sector and it mitigating factors., Fiachra O Callaghan
(2024) Comparison of Classification Methodologies using Convolutional Neural Networks in a Dataset of Plant Leaf Diseases., Ruairi O’Donohoe
(2025) Player Transfer Market in European Football Using Machine Learning to analyse the evolution of the European football., Pablo Lopes de Souza Oliveira
(2020) #Greener by GreenTech, Ana Ospitaletche, Larissa Roseno, Jose Miguel Gonzalez, and Amanda Brelaz
(2022) The use of deep learning solutions to develop a practice tool to support Lámh language for communication partners, Gabriel Bueno Pimentel Borges