Content Posted in 2026 | CCT ARC

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Content Posted in 2026

A Comparative Analysis of Machine Learning and Neural Network Performance in House Price Prediction: Dublin Vs. Other Irish Regions, Diarmuid Carroll

A Comparative Analysis of the Performance of Customised and Pre-Trained Convolutional Neural Networks in the Classification of Facial Expressions., Guilherme Soares da Costa

Algorithms and intimacy: Millennials' social meanings from their experience using Tinder., Yuka Gega

Analysis of Customer Churn in the Banking Sector and its Mitigating Factors., Fiachra O Callaghan

Analysis of the Patterns and Features Importance in Predicting Demand for Sustainable Urban Mobility. A Comparative Analysis of Machine Learning Models Using the Dublin Bikes Dataset., Wojciech Sochanski

An Enhanced Deep Learning Framework for Crop Disease Detection Using GAN-based Data Augmentation., Andrew Mc Guinn

Automated classification of cardiac anomalies through the analysis of electrocardiogram signals using convolutional neural networks., Yhosely Isset Villegas Baldiviezo

Booking.com: What Drives Retention and How to Improve It., Otavio Lopes Dos Santos Rodrigues

Chess Evaluation and Player Profiling using Convolutional Neural Networks (CNNs) and Spatial Recognition., Joel D’Mello

Clustering and Predictive Modelling of Cryptocurrencies: An Empirical Study of Lead–lag Dynamics and Forecasting Performance., Viktor Varga

Comparative Evaluation of AI-Generated Synthetic Data and Real-World Data Performance in Predictive Analytics., Corey Louise Hughes

Comparing Custom and Transfer-Learning CNN Models for Chest X-ray Classification: Evaluating Performance and Scalability with Kubernetes Orchestration., Christopher Anich

Comparison of Convolutional Neural Network Architectures for the Classification of Microscopic Images: Performance Evaluation of Lightweight Models., Cristian Ricardo Gonzalez Donoso

Comparison of Statistical, Machine Learning, and Deep Learning Models for Time-Series Forecasting Using Weather Data from Dublin, Ireland., Erick Eduardo Rios Treviño

Credit Card Default Prediction Using Machine Learning., Yassine Zohair

Credit Card Fraud Detection., Sonia Ndonga

Customer Response to Marketing Campaigns., Alexandru Enoiu

Data Analysis for Maintenance reliability., Romulo Menezes Santos

Data-Driven Decarbonisation Strategy for Residential Buildings: A Q-Learning-Based Simulation Approach., Erdenechimeg Tserendorj

Deep Learning for Irish Garden Bird Identification: Exploring the Role of CNN-LSTM in Video-Based Recognition, Antonina Dolynenko

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

Discovering Latent Themes: Mixed-Methods Comparative Analysis of Topic Extraction and Clustering., Laura Byrne

Dynamic Interactions Between Natural Gas Return, Financial Market Return, and Energy Stock Return: A VAR Analysis of Conoco Phillips., Caglar Yildiz

Efficient Evaluation of NALA in ConvLSTM for High-Dimensional Time-Series Traffic-Flow Forecasting ., Sergej Sisov

Enhancing Fake News and Rumor Detection Using Metadata, Context, and User Interaction with a Hybrid GCN-Transformer., Lucas Romulo Zuin Gigli

Enhancing Financial Fraud Detection Using Explainable Deep Learning Models on Simulated Big Data Architectures: A Comparative Analysis with Traditional Methods., Aoife Yang

Enhancing Insider Threat Detection Through A Hybrid Approach Using Different Artificial Intelligence Techniques., Jose Roberto Da Silva Dure

Enhancing UK Electricity Price Forecasting Using Deep Learning., Stephen Cooke

Evaluating the Effectiveness of Variational Mode Decomposition(VMD)-Enhanced Hybrid Models for Forecasting Volatile Price and Indicator Time Series., Danny Allen

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

Exploring Workforce Attrition in Early Childcare Sector Using Data Segmentation, Machine Learning and Artificial Neural Networks., Anna Fontani-Tankovska

Fake News Detection Using Machine Learning Models., Anne Higgins

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

Impact of Global Semiconductor Shortages on Toyota’s Supply Chain and Production Efficiency due to COVID-19., Jadouane Dounia

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 Subscriber Churn and Retention Strategies on Disney+., Maryam EL Goss

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

Leveraging AI-Driven Salesforce CRM to Improve Customer Retention in the Irish Insurance Sector., Mohamed El Bakouri

“Move Fast and Break Things”: Innovation, Stability, and Trust in the Growth of Revolut., Belen Blanco Mendoza

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

Optimising Student Recruitment and Brand Awareness at ICOT College through Culturally Targeted Advertising and Social Media Strategies., Uchral Ganbold

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

Predicting Customer Churn and Enhancing Retention Strategies Through Machine Learning., Swan Saung Lwin

Predicting Customer Churn Using Machine Learning: A Data-Driven Approach, Alessandro Mendes Martins

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

Predicting Repeat Purchases in E-Commerce Using Interpretable Machine Learning, Zahid Bhatti

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

Predictive Analytics for Customer Churns in Financial Services., Thant Thiha

Premier League results predictions, Laura Consuegra

QA Manual V. 5.3- 2025, CCT College Dublin

Retention Strategies of Disney+ in Saturated Streaming Markets: A Case Study of Ireland., Suelen Aleixo Matos

Road Dependence and Inventory Challenges: A Case Study of Danone Brazil’s Dairy Supply Chain., Karollyne Nakanishi

Ryanair and the Strategic Challenge of Innovation., Jessyca Souza Damaso

Strategic Digital Transformation of Internal Audit: The Microsoft Case Study., Maria de Jesus Marin Marin

Supply Chain Management Challenges for Automotive Industry: Analysing Harman International Semiconductor Shortage challenges and efforts to mitigate impact., Maria Azucena Valencia Padilla

The Experience of the “Too Good To Go” Platform in Ireland and its Implementation Potential in Mongolia., Jargal Erdenebaatar

The Impact of Data Privacy Concerns on User Trust in TikTok : A Comparative Study Between the EU and the US., Tamta Gachechiladze

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