Outputs (2058)

Modelling interrelationship between diseases with communicating stream x-machines (2022)
Journal Article
Jayatilake, D., Phung, K., Ogunshile, E., & Aydin, M. (2022). Modelling interrelationship between diseases with communicating stream x-machines. Proceedings of the Institute for System Programming of the RAS, 34(6), 147-164. https://doi.org/10.15514/ispras-2022-34%286%29-11

The world is moving towards alternative medicine and behavioural alteration for treating, managing, and preventing chronical diseases. In the last few decades, diagrammatical models have been extensively used to describe and understand the behaviou... Read More about Modelling interrelationship between diseases with communicating stream x-machines.

Review of the partially overlapping samples framework: Paired observations and independent observations in two samples (2022)
Journal Article
Derrick, B., & White, P. (2022). Review of the partially overlapping samples framework: Paired observations and independent observations in two samples. Quantitative Methods for Psychology, 18(1), 55-65. https://doi.org/10.20982/tqmp.18.1.p055

A frequently asked question in quantitative research is how to compare two samples that include some combination of paired observations and unpaired observations. In our publications and R package, we refer to the scenario as ‘partially overlapping... Read More about Review of the partially overlapping samples framework: Paired observations and independent observations in two samples.

Predictive maintenance analytics and implementation for aircraft: Challenges and opportunities (2022)
Journal Article
Stanton, I., Munir, K., Ikram, A., & El-Bakry, M. (2023). Predictive maintenance analytics and implementation for aircraft: Challenges and opportunities. Systems Engineering, 26(2), 216-237. https://doi.org/10.1002/sys.21651

The increase in available data from sensors embedded in industrial equipment has led to a recent rise in the use of industrial predictive maintenance. In the aircraft industry, predictive maintenance has become an essential tool for optimizing mainte... Read More about Predictive maintenance analytics and implementation for aircraft: Challenges and opportunities.

Disruptive learning and optimal flow: Game jams in heterotopic affinity space (2022)
Thesis
King, A. Disruptive learning and optimal flow: Game jams in heterotopic affinity space. (Thesis). University of the West of England. Retrieved from https://uwe-repository.worktribe.com/output/9303643

Game jams are intensive, time-bound videogame-development events where students, professionals, and hobbyists form teams to create games against the clock. Jams are popular, offering accessible, informal learning environments which promote teamwork,... Read More about Disruptive learning and optimal flow: Game jams in heterotopic affinity space.

Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification (2022)
Journal Article
McCarthy, A., Ghadafi, E., Andriotis, P., & Legg, P. (2023). Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification. Journal of Information Security and Applications, 72, Article 103398. https://doi.org/10.1016/j.jisa.2022.103398

Machine learning is key for automated detection of malicious network activity to ensure that computer networks and organizations are protected against cyber security attacks. Recently, there has been growing interest in the domain of adversarial mach... Read More about Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification.

Reducing false negatives in ransomware detection: A critical evaluation of machine learning algorithms (2022)
Journal Article
Bold, R., Al-Khateeb, H., & Ersotelos, N. (2022). Reducing false negatives in ransomware detection: A critical evaluation of machine learning algorithms. Applied Sciences, 12(24), Article 12941. https://doi.org/10.3390/app122412941

Technological achievement and cybercriminal methodology are two parallel growing paths; protocols such as Tor and i2p (designed to offer confidentiality and anonymity) are being utilised to run ransomware companies operating under a Ransomware as a S... Read More about Reducing false negatives in ransomware detection: A critical evaluation of machine learning algorithms.

Electrical potential spiking of Kombucha zoogleal mats: A symbiotic community of bacteria and yeasts (2022)
Journal Article
Adamatzky, A. (2023). Electrical potential spiking of Kombucha zoogleal mats: A symbiotic community of bacteria and yeasts. Bioelectricity, 5(2), 99-108. https://doi.org/10.1089/bioe.2022.0030

Background: A kombucha is a sugared tea fermented by a symbiotic community of over 20 species of bacteria and yeasts. The community produces and inhabits cellulosic gelatinous zoogleal mats. Methods: We studied electrical activity of the kombucha mat... Read More about Electrical potential spiking of Kombucha zoogleal mats: A symbiotic community of bacteria and yeasts.

Solvability of superlinear fractional parabolic equations (2022)
Journal Article
Fujishima, Y., Hisa, K., Ishige, K., & Laister, R. (2023). Solvability of superlinear fractional parabolic equations. Journal of Evolution Equations, 23(1), 4. https://doi.org/10.1007/s00028-022-00853-z

We study necessary conditions and sufficient conditions for the existence of local-in-time solutions of the Cauchy problem for superlinear fractional parabolic equations. Our conditions are sharp and clarify the relationship between the solvability o... Read More about Solvability of superlinear fractional parabolic equations.

Fast and accurate evaluation of collaborative filtering recommendation algorithms (2022)
Conference Proceeding
Polatidis, N., Kapetanakis, S., Pimenidis, E., & Manolopoulos, Y. (2022). Fast and accurate evaluation of collaborative filtering recommendation algorithms. In N. Thanh Nguyen, T. Khoa Tran, U. Tukayev, T. Hong, B. Trawiński, & E. Szczerbicki (Eds.), ACIIDS 2022: Intelligent Information and Database Systems (623-634). https://doi.org/10.1007/978-3-031-21743-2_50

Collaborative filtering are recommender systems algorithms that provide personalized recommendations to users in various online environments such as movies, music, books, jokes and others. There are many such recommendation algorithms and, regarding... Read More about Fast and accurate evaluation of collaborative filtering recommendation algorithms.

Understanding colourism in the UK: Development and assessment of the everyday colourism scale (2022)
Journal Article
Craddock, N., Phoenix, A., White, P., Gentili, C., Diedrichs, P. C., & Barlow, F. (in press). Understanding colourism in the UK: Development and assessment of the everyday colourism scale. Ethnic and Racial Studies, 1-36. https://doi.org/10.1080/01419870.2022.2149275

This paper details the development and psychometric validation of the Everyday Colourism Scale (ECS), a measure designed to capture perceived skin shade prejudice from the ingroup (ethnic peers) and the outgroup (White people). The ECS was adapted fr... Read More about Understanding colourism in the UK: Development and assessment of the everyday colourism scale.