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HDIP in Data Analytics for Business

Thesis/Dissertation from 2024 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

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

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

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

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

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

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

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

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

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

Thesis/Dissertation from 2023 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

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

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 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 2021

The shape of a photon, Christopher C. O’Neill