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Automatic for the people: Crowd-driven generative scores using Manhattan and machine vision (2021)
Conference Proceeding
Nash, C. (2021). Automatic for the people: Crowd-driven generative scores using Manhattan and machine vision

This paper details a workshop and optional public installation based on the development of situational scores that combine music notation, AI, and code to create dynamic interactive art driven by the realtime movements of objects and people in a live... Read More about Automatic for the people: Crowd-driven generative scores using Manhattan and machine vision.

Blockchain and artificial intelligence – Managing a secure and sustainable supply chain (2021)
Book Chapter
Pimenidis, E., Patsavellas, J., & Tonkin, M. (2021). Blockchain and artificial intelligence – Managing a secure and sustainable supply chain. In H. Jahankhani, A. Jamal, & S. Lawson (Eds.), Cybersecurity, Privacy and Freedom Protection in the Connected World. (1). Springer. https://doi.org/10.1007/978-3-030-68534-8

Supply chain management is often the most challenging part of any business that manufactures, sells goods, or provides services. Regardless of whether the operations are mostly physical or online, managing supply chains largely relies on being able t... Read More about Blockchain and artificial intelligence – Managing a secure and sustainable supply chain.

Pandemic management with social media analytics (2021)
Book Chapter
Sabuncu, I., & Aydin, M. E. (2021). Pandemic management with social media analytics. In Data Science Advancements in Pandemic and Outbreak Management (78-107). IGI Global. https://doi.org/10.4018/978-1-7998-6736-4.ch005

Social media analytics appears as one of recently developing disciplines that helps understand public perception, reaction, and emerging developments. Particularly, pandemics are one of overwhelming phenomena that push public concerns and necessitate... Read More about Pandemic management with social media analytics.

Bespoke anywhere (2021)
Conference Proceeding
Gaster, B., & Challinor, R. (2021). Bespoke anywhere

This paper reports on a project aimed to break away from the portability concerns of native DSP code between different platforms, thus freeing the instrument designer from the burden of porting new Digital Musical Instruments (DMIs) to different arch... Read More about Bespoke anywhere.

‘Dove Confident Me Indonesia: Single Session’: Study protocol for a randomised controlled trial to evaluate a school-based body image intervention among Indonesian adolescents (2021)
Journal Article
Craddock, N., Garbett, K. M., Haywood, S., Nasution, K., White, P., Saraswati, L. A., …Diedrichs, P. C. (2021). ‘Dove Confident Me Indonesia: Single Session’: Study protocol for a randomised controlled trial to evaluate a school-based body image intervention among Indonesian adolescents. BMC Public Health, 21(1), https://doi.org/10.1186/s12889-021-11770-0

Background: Due to the prevalence and associated adverse health consequences of negative body image among adolescents globally, there is a need to develop acceptable, effective, and scalable interventions. School-based body image interventions delive... Read More about ‘Dove Confident Me Indonesia: Single Session’: Study protocol for a randomised controlled trial to evaluate a school-based body image intervention among Indonesian adolescents.

Marimo Actuated Rover Systems (2021)
Journal Article
Phillips, N., Draper, T. C., Mayne, R., Reynolds, D. M., & Adamatzky, A. (in press). Marimo Actuated Rover Systems. Journal of Biological Engineering,

Background: The potential to directly harness photosynthesis to make actuators, biosensors and bioprocessors has been previously demonstrated in the literature. Herein, this capability has been expanded to more advanced systems-Marimo Actuated Rover... Read More about Marimo Actuated Rover Systems.

Investigating malware propagation and behaviour using system and network pixel-based visualisation (2021)
Journal Article
Williams, J., & Legg, P. (2022). Investigating malware propagation and behaviour using system and network pixel-based visualisation. SN Computer Science, 3(1), https://doi.org/10.1007/s42979-021-00926-9

Malicious software, known as malware, is a perpetual game of cat and mouse between malicious software developers and security professionals. Recent years have seen many high profile cyber attacks, including the WannaCry and NotPetya ransomware attack... Read More about Investigating malware propagation and behaviour using system and network pixel-based visualisation.

Testing the responsiveness of and defining MID (minimal important difference) values for the CARe Burn Scales: Patient-reported outcome measures (PROMs) to assess quality of life for children and young people affected by burn injuries, and their parents/c (2021)
Journal Article
Griffiths, C., Tollow, P., Cox, D., White, P., Pickles, T., & Harcourt, D. (in press). Testing the responsiveness of and defining MID (minimal important difference) values for the CARe Burn Scales: Patient-reported outcome measures (PROMs) to assess quality of life for children and young people affected by burn injuries, and their parents/caregivers. European Burn Journal,

Background: The CARe Burn Scales are a portfolio of burn-specific PROMs for people affected by burns, including a Child Form (for children < 8 years (Parent-proxy)), a Young Person Form (for young people aged 8 -17 years), an Adult Form, and a Parent... Read More about Testing the responsiveness of and defining MID (minimal important difference) values for the CARe Burn Scales: Patient-reported outcome measures (PROMs) to assess quality of life for children and young people affected by burn injuries, and their parents/c.

Deception in network defences using unpredictability (2021)
Journal Article
Happa, J., Bashford-Rogers, T., Janse Van Rensburg, A., Goldsmith, M., & Creese, S. (2021). Deception in network defences using unpredictability. Digital Threats: Research and Practice, 2(4), https://doi.org/10.1145/3450973

In this paper, we propose a novel method that aims to improve upon existing moving-target defences by making them unpredictably reactive using probabilistic decision-making. We postulate that unpredictability can improve network defences in two key c... Read More about Deception in network defences using unpredictability.

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