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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) Brain Tumor Classification using Deep Learning Custom CNN vs. ResNet50., Rayen Bentemessek
(2024) Deep Learning Model Compression for Resource-Constrained Environments., Stephen Burke
(2025) Assemble the ensemble: A multi model approach for customer churn prediction in the gambling industry., Paul Corcoran
(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
(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
(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
(2023) Unlocking the Pragmatics of Emoji: Evaluation of the Integration of Pragmatic Markers for Sarcasm Detection, Niamh Farnham
(2023) Recurrent Neural Networks for Flash GDP Estimates in Ireland: A Comparison with Traditional Econometric Methods, Justin Flannery
(2023) Reinforcement Learning for Stock Option Trading, James Garza
(2024) Assessment of the Impact of Various Feature Extraction Techniques on the Effectiveness of Music Genre Classification in Neural Network Models., Sabhdh Grace
(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
(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) Comparative Evaluation of AI-Generated Synthetic Data and Real-World Data Performance in Predictive Analytics, Corey Louise Hughes
(2024) ML Predictive Model for Earthquakes Integrating Mass, Distance, Gravity, and Magnitude., Aadarsh Kushwaha
(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
(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
(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
(2024) Maize Crop Pests and Diseases Classification Using Hybrid Models., Diana Flora Namaemba
(2025) Customer Service Support. Utilizing machine learning to classify, prioritize and summarize issues., Hoai Nhan Nguyen
(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
(2022) The use of deep learning solutions to develop a practice tool to support Lámh language for communication partners, Gabriel Bueno Pimentel Borges
(2025) The use of deep learning solutions to develop a practice tool to support Lámh language for communication partners, Gabriel Bueno Pimentel Borges
(2024) Applying Neural Networks to Predict Factors Affecting Harmful Algal Blooms for Timely Alerting and Implementing Preventive Measures in Ireland's Marine Ecosystem., Nikolai Potapov
(2024) Responsible Natural Language Processing to aid Employee Performance Reviews., Grace Rubinger
(2023) Evaluating the Potential of Ensemble Learning for One Day-Ahead Forecasting of Power System Demand in Ireland, Karol Skowronski
(2025) 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
(2024) Data Analysis of Twitter’s Nasdaq100 Sentiments and Topics as Indicators for News Articles Retrieval: Fine-Tuning RoBERTa and RAG, Kagan Timur
(2024) Data Analysis of Twitter’s Nasdaq100 Sentiments and Topics as Indicators for News Articles Retrieval: Fine-Tuning RoBERTa and RAG., Kagan Timur
(2019) E-Health Management System, Husnain Azeem Toor and
Dissertation
(2025) Dogs Emotion System, Muhammad Anas Baig
(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
Poster
(2025) Dogs Emotion System- Poster, Muhammad Anas Baig
(2023) The Role of Data Analytics to Address Water Stress in Africa, Khalil Beladda
(2025) Brain Tumor Classification using Deep Learning- Poster, Rayen Bentemessek
(2025) Data Driven Public Transport Planning in Dublin : A Clustering and Forecasting Approach, Magdalena Burtinik Urueta and Mirae Yu
(2025) Predicting early hospital readmissions for diabetic patients using machine learning- Poster, Amanda Ferraz and Leonardo Oliveira
(2025) Development of a Deep Learning Model for Synthetic vs. Real Image Classification Synthetic vs. Real image classification-Poster, Bernardo Gandara and Ignacio Varela
(2025) Improving Chatbot Interactions Through AI-Driven Hate Speech Detection: Evolving to a Safer Digital Environment-Poster, Rata Gheorghita and Wellington Mariano
(2025) Detecting Fake News Using AI, Gustavo Lambert and Ignatio Varela
(2023) Pronostic of Colo-Rectal Cancer (CRC) Using Machine Learning Models on Organoids Derived of Patient, Claudia Andrea Leiva Acevedo
(2022) Defining financial risks and market trends through predictive data analysis, Marcelle Louise, Luciana Teixeira, Muhammad Shahbaz, and Giovanni Andrade
(2022) Defining financial risks and market trends through predictive data analysis, Marcelle Louise, Luciana Teixeira, Muhammad Shahbaz, and Giovanni Andrade
(2021) The shape of a photon, Christopher C. O’Neill
(2021) Mobile application to travel the world using virtual reality and machine learning, Valentina Quiroga, Francisco Olivares, and José Najera
(2022) Prediction of stress levels on Higher Education students using machine learning., Valentina Quiroga, Alejandra Quintanilla, and José Najera
(2025) Strategic Analysis of Employment Permit Statistics and Predictive Analytics for Workforce planning in Ireland- Poster, Amy Souza and Thaynna Vieira
Undergraduate Project
(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) Brain Tumor Classification using Deep Learning: Custom CNN vs. ResNet50, Rayen Bentemessek
(2024) Stock Market Predictions with Machine Learning ., Daniel Bezerra Martellini
(2019) Ecological Expenses Tracker – EcoExT, Asmer Bracho, Carina Lins, Eduardo Firino, Gabriel Oliveira, and Miguelantonio Guerra
(2025) Data-Driven Public Transport Planning for Dublin: A Clustering and Forecasting Approach, Magdalena Burtinik Urueta and Mirae Yu
(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
(2023) Credit worthiness tool for Credit Unions, Rylee Christoffersen and Mario Ramalho
(2019) Chatterbox, Clayton Crispim, Jacqueline Siquiera de Medeiros, Joao Pedro Haddad Oliveira, Kleyton Soares, and Maria Fabiana Nunes dos Santos
(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
(2020) Applied Technology Group Project Documentation for NLS-Project, Cauê Duarte, Felipe Mantovani, Olga Kiseleva, and Taras Boreyko
(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
(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
(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
(2019) Supervised Machine Learning Models for Fake News Detection, Gofaas Group, Andrea Lopez, Adelo Vieira, Zafar Ahsan, Farooq Saqib, and Shirley Marinho
(2023) Facial Recognition using Neural Network, Georges Diego Hawile Pinheiro and Allison Alves de Moura
(2025) Detecting Fake News Using AI, Gustavo Lambert and Lucas Schultz
(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
(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
(2024) Movie Recommendation System., Ingrid Menezes Castro and Robert Szlufik
(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
(2020) #Greener by GreenTech, Ana Ospitaletche, Larissa Roseno, Jose Miguel Gonzalez, and Amanda Brelaz
(2020) MySmartPi, Camila Pulz de Faria, Fernando Aires da Silva, Jesus Colina Nunez, Reginaldo Pereira dos Santos, and Thenilde Borges
(2022) Artifact Development for the Prediction of Stress Levels on Higher Education Students using Machine Learning, Valentina Quiroga, Alejandra Hurtado, and José Rojas
(2020) Track My Ride, Cesar Padron Ramirez, Jady Silva Martins, Maria de la Luz Lagunas Modesto, Rodolfo Carvajal Marquez, and Yuri Braga
(2020) Smart Wearable Device for Reduction of Parkinson’s Disease Hand-Tremor, Bruno Ribeiro, Leopoldo Medeiros, Rodrigo Aguiar, and Juan Carlos
(2022) Smart Property Valuation. Problem Solving for Industry, David Silva, Luiz Augusto Dias, and Raul M. Fuzita
(2020) CONVERSA: A Community of Conversation, Leandro Silveira, Willian Antunes de Sousa, Richard Welbert Silva Biagi, Patricia Correia, and Lucas Freire
(2025) Strategic Analysis of Employment Permit Statistics and Predictive Analytics for Workforce planning in Ireland, Amy Souza and Thaynna Vieira
(2020) [CHAIN UP GROUP] Applied Technology Group Project, Maria Beluz Suarez and Haein Kim
(2020) Student MeetUp: An AJS Project, Alejandro Zeballos, Suelen De Campos Fiorelo, and James Harris