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Victory at all costs: the role of effort in expert action (2025)
Journal Article
Montero, B., & Toner, J. (2025). Victory at all costs: the role of effort in expert action. Synthese, 206(5), 248. https://doi.org/10.1007/s11229-025-05313-y

It is generally thought that the better you are at performing a skill, the easier it is for you to perform it. Indeed, effortlessness is often seen as a defining characteristic of expertise. We question the idea that skill improvement invariably coin... Read More about Victory at all costs: the role of effort in expert action.

The rhetoric and reality of socially engaged arts projects delivered by cultural mega events: the case of Hull UKCoC 2017 (2025)
Thesis
Bissett, V. (2025). The rhetoric and reality of socially engaged arts projects delivered by cultural mega events: the case of Hull UKCoC 2017 [Doctorate thesis, University of Hull]. https://hull-repository.worktribe.com/output/5466243

This thesis examines the intersection of two cultural phenomena: socially engaged arts (SEA) and cultural mega events (CME). It analyses several cases where these phenomena have interconnected and explores the resulting tensions. Both phenomena are p... Read More about The rhetoric and reality of socially engaged arts projects delivered by cultural mega events: the case of Hull UKCoC 2017.

Human Activity Recognition: A Comparative Study of Validation Methods and Impact of Feature Extraction in Wearable Sensors (2024)
Journal Article
Rehman, S. U., Ali, A., Khan, A. M., & Okpala, C. (2024). Human Activity Recognition: A Comparative Study of Validation Methods and Impact of Feature Extraction in Wearable Sensors. Algorithms, 17(12), 556. https://doi.org/10.3390/a17120556

With the increasing availability of wearable devices for data collection, studies in human activity recognition have gained significant popularity. These studies report high accuracies on k-fold cross validation, which is not reflective of their gene... Read More about Human Activity Recognition: A Comparative Study of Validation Methods and Impact of Feature Extraction in Wearable Sensors.

A Comparative Study of X Data About the NHS Using Sentiment Analysis (2025)
Journal Article
Rehman, S. U., Blessing, O. O., & Ali, A. (2025). A Comparative Study of X Data About the NHS Using Sentiment Analysis. Big Data and Cognitive Computing, 9(10), 244. https://doi.org/10.3390/bdcc9100244

This study investigates sentiment analysis of X data about the National Health Service (NHS) during a politically charged period, using lexicon-based, machine learning, and deep learning approaches, as well as topic modelling and aspect-based sentime... Read More about A Comparative Study of X Data About the NHS Using Sentiment Analysis.

Pneumonia Disease Detection Using Chest X-Rays and Machine Learning (2025)
Journal Article
Usman, C., Rehman, S. U., Ali, A., & Ahmad, B. (2025). Pneumonia Disease Detection Using Chest X-Rays and Machine Learning. Algorithms, 18(2), 82. https://doi.org/10.3390/a18020082

Pneumonia is a deadly disease affecting millions worldwide, caused by microorganisms and environmental factors. It leads to lung fluid build-up, making breathing difficult, and is a leading cause of death. Early detection and treatment are crucial fo... Read More about Pneumonia Disease Detection Using Chest X-Rays and Machine Learning.