Outputs (6)

Components and acyclicity of graphs. An exercise in combining precision with concision (2021)
Journal Article
Backhouse, R., Doornbos, H., Glück, R., & van der Woude, J. (2022). Components and acyclicity of graphs. An exercise in combining precision with concision. Journal of Logical and Algebraic Methods in Programming, 124, Article 100730. https://doi.org/10.1016/j.jlamp.2021.100730

Central to algorithmic graph theory are the concepts of acyclicity and strongly connected components of a graph, and the related search algorithms. This article is about combining mathematical precision and concision in the presentation of these conc... Read More about Components and acyclicity of graphs. An exercise in combining precision with concision.

Public health messaging by political leaders: a corpus linguistic analysis of COVID-19 speeches delivered by Boris Johnson (2021)
Report
McClaughlin, E., Nichele, E., Adolphs, S., Barnard, P., Clos, J., Knight, D., McAuley, D., & Lang, A. (2021). Public health messaging by political leaders: a corpus linguistic analysis of COVID-19 speeches delivered by Boris Johnson. Nottingham: UKRI/AHRC

This study analyses the language of speeches about COVID-19 delivered by Boris Johnson, the Prime Minister of the United Kingdom between 3rd March 2020 and 5th April 2021.

We use transcribed speeches to construct a digitised body of texts called a... Read More about Public health messaging by political leaders: a corpus linguistic analysis of COVID-19 speeches delivered by Boris Johnson.

Defence against the dark artefacts: Smart home cybercrimes and cybersecurity standards (2021)
Journal Article
Piasecki, S., Urquhart, L., & McAuley, D. (2021). Defence against the dark artefacts: Smart home cybercrimes and cybersecurity standards. Computer Law and Security Review, 42, Article 105542. https://doi.org/10.1016/j.clsr.2021.105542

This paper analyses the assumptions underpinning a range of emerging EU and UK smart home cybersecurity standards. We use internet of things (IoT) case studies (such as the Mirai Botnet affair) and the criminological concept of 'routine activity theo... Read More about Defence against the dark artefacts: Smart home cybercrimes and cybersecurity standards.

A stacked dense denoising–segmentation network for undersampled tomograms and knowledge transfer using synthetic tomograms (2021)
Journal Article
Bellos, D., Basham, M., Pridmore, T., & French, A. P. (2021). A stacked dense denoising–segmentation network for undersampled tomograms and knowledge transfer using synthetic tomograms. Machine Vision and Applications, 32(3), Article 75. https://doi.org/10.1007/s00138-021-01196-4

Over recent years, many approaches have been proposed for the denoising or semantic segmentation of X-ray computed tomography (CT) scans. In most cases, high-quality CT reconstructions are used; however, such reconstructions are not always available.... Read More about A stacked dense denoising–segmentation network for undersampled tomograms and knowledge transfer using synthetic tomograms.

Prediction of Streptococcus uberis clinical mastitis treatment success in dairy herds by means of mass spectrometry and machine-learning (2021)
Journal Article
Maciel-Guerra, A., Esener, N., Giebel, K., Lea, D., Green, M. J., Bradley, A. J., & Dottorini, T. (2021). Prediction of Streptococcus uberis clinical mastitis treatment success in dairy herds by means of mass spectrometry and machine-learning. Scientific Reports, 11(1), Article 7736. https://doi.org/10.1038/s41598-021-87300-0

Streptococcus uberis is one of the leading pathogens causing mastitis worldwide. Identification of S. uberis strains that fail to respond to treatment with antibiotics is essential for better decision making and treatment selection. We demonstrate th... Read More about Prediction of Streptococcus uberis clinical mastitis treatment success in dairy herds by means of mass spectrometry and machine-learning.

Solving the Rubik's cube with stepwise deep learning (2021)
Journal Article
Johnson, C. G. (2021). Solving the Rubik's cube with stepwise deep learning. Expert Systems, 38(3), Article e12665. https://doi.org/10.1111/exsy.12665

This paper explores a novel technique for learning the fitness function for search algorithms such as evolutionary strategies and hillclimbing. The aim of the new technique is to learn a fitness function (called a Learned Guidance Function) from a se... Read More about Solving the Rubik's cube with stepwise deep learning.