Outputs (2)

Personalisation and recommendation for mental health apps: A scoping review (2024)
Journal Article
Matthews, P., & Rhodes-Maquaire, C. (in press). Personalisation and recommendation for mental health apps: A scoping review. Behaviour and Information Technology, https://doi.org/10.1080/0144929x.2024.2356630

Personalisation, which tailors to individual preferences, is considered a possible route for improving engagement with digital mental health (DMH) products. Despite claims about the presence and importance of personalised features, evidence about the... Read More about Personalisation and recommendation for mental health apps: A scoping review.

A framework for the estimation of air quality by applying meteorological images: Colours-of-the-Wind (COLD) (2023)
Journal Article
Chan, K., Matthews, P., & Munir, K. (2023). A framework for the estimation of air quality by applying meteorological images: Colours-of-the-Wind (COLD). Environments, 10(12), Article 218. https://doi.org/10.3390/environments10120218

This paper presents a new framework, “colours-of-the-wind” (COLD), which is designed to estimate air quality based on images from meteorological cameras, data analytics techniques, and the application of deep learning. Existing air quality estimation... Read More about A framework for the estimation of air quality by applying meteorological images: Colours-of-the-Wind (COLD).