A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

Abstract: In this paper Electromagnetic Compatibility (EMC) data is discussed and its effects on training a machine learning model. EMC data is inherently complex due to factors such as noise, high ...

Last month, Nielsen introduced its new "Big Data + Panel" measurement, which combines ratings data from traditional households with statistics from smart TVs and set-top boxes. Nielsen's new system ...

Abstract: In the pathology image analysis, obtaining and maintaining high-quality annotated samples is an extremely labor-intensive task. To overcome this challenge, mixing-based methods have ...

Welcome to Edward Cronin's repository for the Programming For Data Analytics Module 2025/2026. This repository contains the student's submissions for the module, including detailed tasks and a ...