Most Recent Additions*
Predictive Analytics for Optimising Delivery Performance in Supply Chain Management
Vishwanath Sai Krishna Teja
Balancing Accuracy and Discovery: A Bias-Aware Evaluation Framework for Music Recommendation
Jose Luis Maidana
Understanding Host Behaviour and Property Review Characteristics Using New York City Airbnb Dataset
Anna Szkwara
Predicting the Next Recession with Machine Learning
David Heffernan
Predicting Product Returns in Online Retail
Mihaela Cristina Stefanache
Machine Learning for Early Obesity Risk Prediction
Giuseppe Cutugno
Identifying New Programme Development Viability
Grant Goodwin
Predicting Loneliness Among Older Adults in Ireland Using Supervised Machine Learning
Ariadne Chaves Miranda
Predictive Maintenance for Manufacturing Equipment
Paloma de Andrade Batista
Seasonal Dublin airport passenger arrivals forecast for the Economy Sector of Dublin Airport
Roberto Tavares de Oliveira Neto
A Comparative Analysis of Supervised Machine Learning Techniques for Predicting IT Incident Resolution Time
Ammad Hussain and Hussnain Yaqoob
A comprehensive study of SARIMA and XGBoost models for short-term traffic volume forecasting at a Melbourne intersection (Victoria), Australia
Douglas Vinicius Dierings and Felipe Fontanive Marques
Bitcoin Prediction System Usind Machine Learning Techniques
Carolina Azevedo de Castro
Comparative Economic Impact Modelling of Floods vs Drought on a Global Scale
Diogo Lemos Aguiar and Paulo Henrique Oliveira Machado
Design and Evaluation of a Supervised Machine Learning-Based Intrusion Detection System.
Tarquin Qazi
Flood Risk Prediction System for Irish River Networks
Fernando Adalberto Naatz Heringer and Hugo Rodrigues de Freitas
Machine Learning System for Cereal Yield Prediction in South America.
Victor Gabriel Oliveira and Kelvin Henrique Ferreira Dumas
Predicting CO₂ Emissions from Cattle-Driven Deforestation in the Amazon Rainforest Using Machine Learning
Daniel Ambrosio and Suelen Rocha
PXAA: A Root-Cause Decision-Support System for Airline Passenger Complaints Using Sentiment Analysis and Complaint Classification
Adélia Acacio da Silva and Stefani Rabelo de Campos Nunes
*Updated as of 09/26/26.