Outputs (4196)

Green Building: An antidote to sick buliding syndrome menace in Africa (2023)
Presentation / Conference Contribution
Liphadzi, M., Osunsanmi, T., Aigbavboa, C. O., Thwala, W., Phuti, T., & Aliu, J. (2023, June). Green Building: An antidote to sick buliding syndrome menace in Africa. Presented at Creative Construction e-Conference 2023, Keszthely, Hungary

Sick building syndrome (SBS) is the leading cause of the reduction in the building's occupancy level of satisfaction, poor indoor air quality, and other shenanigans responsible for the underperformance of building occupants and loss in property value... Read More about Green Building: An antidote to sick buliding syndrome menace in Africa.

Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements, and Challenges (2023)
Journal Article
Liu, Q., Yang, Z., Ji, R., Zhang, Y., Bilal, M., Liu, X., Vimal, S., & Xu, X. (2023). Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements, and Challenges. IEEE Systems, Man, and Cybernetics Magazine, 9(4), 4-12. https://doi.org/10.1109/msmc.2022.3216943

Radars are widely used to obtain echo information for effective prediction, such as precipitation nowcasting. In this article, recent relevant scientific investigation and practical efforts using deep learning (DL) models for weather radar data analy... Read More about Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements, and Challenges.

Practices and educational affordances of sound in the postcolonial Hong Kong protests (2023)
Journal Article
Cheng, L., & McGregor, I. (online). Practices and educational affordances of sound in the postcolonial Hong Kong protests. Contemporary Music Review, https://doi.org/10.1080/07494467.2023.2241236

Sound has been theorised for its functional role as informative agent in political advocacy and participation in political studies, yet the investigation on the pedagogical potential has been largely absent. This paper examines the pedagogical impact... Read More about Practices and educational affordances of sound in the postcolonial Hong Kong protests.

An exploration of diversity in Embodied Music Interaction (2023)
Presentation / Conference Contribution
Di Donato, B. (2023, May). An exploration of diversity in Embodied Music Interaction. Presented at CHIME: Music Interaction and Physical Disability, University of Edinburgh, Edinburgh

This is an exploration of diversity in Embodied Music Interaction through three case studies entitled (i) Accessible interactive digital signage for the visually impaired, (ii) Human-Sound Interaction and (iii) BSL in Embodied Music Interaction (EMI)... Read More about An exploration of diversity in Embodied Music Interaction.

Machine Learning and the Optimal Choice of Asset Pricing Model (2023)
Book Chapter
Bielinski, A., & Broby, D. (2023). Machine Learning and the Optimal Choice of Asset Pricing Model. In S. Hasan Jafar, H. K, H. El-Chaarani, S. Moturi, & N. Gupta (Eds.), Artificial Intelligence for Capital Markets (91-127). Taylor & Francis. https://doi.org/10.1201/9781003327745-7

This chapter evaluates the traditional methods for price prediction and examines what we believe are the most promising machine learning techniques for that task. Asset price forecasting is one of the fundamental problems in the financial field. Trad... Read More about Machine Learning and the Optimal Choice of Asset Pricing Model.

Blockchain for Cybersecurity in Cyber-Physical Systems (2023)
Book
Maleh, Y., Alazab, M., & Romdhani, I. (Eds.). (2023). Blockchain for Cybersecurity in Cyber-Physical Systems. Springer. https://doi.org/10.1007/978-3-031-25506-9

This book offers the latest research results on blockchain technology and its application for cybersecurity in cyber-physical systems. It presents crucial issues in this field and provides a sample of recent advances and insights into the research pr... Read More about Blockchain for Cybersecurity in Cyber-Physical Systems.

Social Media by Proxy: how older adults work within their ‘social networks’ to engage with social media (2023)
Journal Article
Webster, G., & Ryan, F. (2023). Social Media by Proxy: how older adults work within their ‘social networks’ to engage with social media. Information Research, 28(1), 50-77

Introduction. Social media use is at an all-time high, and the adoption of online tools by older adults is increasing. This paper reports an exploratory qualitative study investigating the ways in which older adults are supported by social media prox... Read More about Social Media by Proxy: how older adults work within their ‘social networks’ to engage with social media.

A Generative Adversarial Network Based Approach to Malware Generation Based on Behavioural Graphs (2023)
Presentation / Conference Contribution
McLaren, R. A., Babaagba, K., & Tan, Z. (2022, September). A Generative Adversarial Network Based Approach to Malware Generation Based on Behavioural Graphs. Presented at The 8th International Conference on machine Learning, Optimization and Data science - LOD 2022, Certosa di Pontignano, Siena – Tuscany, Italy

As the field of malware detection continues to grow, a shift in focus is occurring from feature vectors and other common, but easily obfuscated elements to a semantics based approach. This is due to the emergence of more complex malware families that... Read More about A Generative Adversarial Network Based Approach to Malware Generation Based on Behavioural Graphs.

Practical Cyber Threat Intelligence in the UK Energy Sector (2023)
Presentation / Conference Contribution
Paice, A., & McKeown, S. (2022, June). Practical Cyber Threat Intelligence in the UK Energy Sector. Presented at International Conference on Cybersecurity, Situational Awareness and Social Media (Cyber Science 2022), Cardiff Metropolitan University, Wales

The UK energy sector is a prime target for cyber-attacks by foreign states, criminals, ‘hacktivist’ groups, and terrorists. As Critical National Infrastructure (CNI), the industry needs to understand the threats it faces to mitigate risks and make ef... Read More about Practical Cyber Threat Intelligence in the UK Energy Sector.

Neutralising Adversarial Machine Learning in Industrial Control Systems Using Blockchain (2023)
Presentation / Conference Contribution
Moradpoor, N., Barati, M., Robles-Durazno, A., Abah, E., & McWhinnie, J. (2022, June). Neutralising Adversarial Machine Learning in Industrial Control Systems Using Blockchain. Presented at Cyber Science 2022: International Conference on Cybersecurity, Situational Awareness and Social Media, Cardiff Metropolitan University, Wales

The protection of critical national infrastructures such as drinking water, gas, and electricity is extremely important as nations are dependent on their operation and steadiness. However, despite the value of such utilities their security issues hav... Read More about Neutralising Adversarial Machine Learning in Industrial Control Systems Using Blockchain.