Skip to main content

Research Repository

Advanced Search

Outputs (3461)

Leg ulceration in venous and arteriovenous insufficiency: assessment and management with compression therapy as part of a holistic wound‑healing strategy (2024)
Journal Article
Nair, H. K., Mosti, G., Atkin, L., Aburn, R., Ali Hussin, N., Govindarajanthran, N., Narayanan, S., Ritchie, G., Samuriwo, R., Sandy-Hodgetts, K., Smart, H., Sussman, G., Ehmann, S., Lantis, J., Moffatt, C., Naude, L., Probst, S., & White, W. (2024). Leg ulceration in venous and arteriovenous insufficiency: assessment and management with compression therapy as part of a holistic wound‑healing strategy. Journal of Wound Care, 33(Sup10b), S1-S31. https://doi.org/10.12968/jowc.2024.33.sup10b.s1

Introduction
This international consensus document presents the outcomes of an expert panel discussion, convened in October 2023. The discussion aimed to provide best-practice recommendations on the assessment and management of venous and arterioven... Read More about Leg ulceration in venous and arteriovenous insufficiency: assessment and management with compression therapy as part of a holistic wound‑healing strategy.

Applying the Right UX based on Users' Needs and Future Trends of UX (2024)
Presentation / Conference Contribution
Cameron, J. (2024, October). Applying the Right UX based on Users' Needs and Future Trends of UX. Presented at BINUS Business School International Lecture Week 2024, Jakarta, Indonesia and online

This lecture by Dr Jackie Cameron, an experienced digital marketing lecturer at Edinburgh Napier University, provides a comprehensive overview of user experience (UX) principles and their application in digital marketing contexts. Covering key defini... Read More about Applying the Right UX based on Users' Needs and Future Trends of UX.

Automated Human-Readable Label Generation in Open Intent Discovery (2024)
Presentation / Conference Contribution
Anderson, G., Hart, E., Gkatzia, D., & Beaver, I. (2024, September). Automated Human-Readable Label Generation in Open Intent Discovery. Presented at Interspeech 2024, Kos, Greece

The correct determination of user intent is key in dialog systems. However, an intent classifier often requires a large, labelled training dataset to identify a set of known intents. The creation of such a dataset is a complex and time-consuming task... Read More about Automated Human-Readable Label Generation in Open Intent Discovery.

A linear dissipativity approach to incremental input-to-state stability for a class of positive Lur’e systems (2024)
Journal Article
Piengeon, V., & Guiver, C. (online). A linear dissipativity approach to incremental input-to-state stability for a class of positive Lur’e systems. International Journal of Control, https://doi.org/10.1080/00207179.2024.2403473

Incremental stability properties are considered for certain systems of forced, nonlinear differential equations with a particular positivity structure. An incremental stability estimate is derived for pairs of input/state/output trajectories of the L... Read More about A linear dissipativity approach to incremental input-to-state stability for a class of positive Lur’e systems.

Circular Solutions: Assessing the Viability of Photovoltaic Waste Recycling in the United Kingdom (2024)
Journal Article
Ganpatsinh Parmar, D., Muhammad Sukki, F., Abu-Bakar, S. H., Mas’ud, A. A., & Kamarudin, M. K. A. (2024). Circular Solutions: Assessing the Viability of Photovoltaic Waste Recycling in the United Kingdom. International Journal of Environmental Science and Development, 15(5), 240-249. https://doi.org/10.18178/ijesd.2024.15.5.1492

The demand for the generation of energy using photovoltaics (PV) has risen exponentially in recent times all over the world. The United Kingdom (UK) has also made a rapid increase in PV installations and is implementing more developing plans in the f... Read More about Circular Solutions: Assessing the Viability of Photovoltaic Waste Recycling in the United Kingdom.

Improving the energy harvesting performance of clamped flexible plates using vortex shedding behind bluff bodies: A computational study (2024)
Journal Article
Wang, X., Guo, X., Mei, Y., & Kadapa, C. (2024). Improving the energy harvesting performance of clamped flexible plates using vortex shedding behind bluff bodies: A computational study. Physics of Fluids, 36(9), Article 097148. https://doi.org/10.1063/5.0223719

This study assesses flow-induced vibrations of clamped flexible plates with the objective of improving their energy harvesting performance. Towards this, a rectangular bluff body is placed between the two clamped flexible plates to harness the vortic... Read More about Improving the energy harvesting performance of clamped flexible plates using vortex shedding behind bluff bodies: A computational study.

Empowering Students for the 21st Century Through Digital Literacy (2024)
Book Chapter
Huzooree, G., & Soupramanien, L. D. B. (2025). Empowering Students for the 21st Century Through Digital Literacy. In A. Huzooree, & H. Chandan (Eds.), Revitalizing Student Skills for Workforce Preparation (161-200). IGI Global. https://doi.org/10.4018/979-8-3693-3856-8.ch005

The rapid advancements in technology have profoundly transformed how students engage and approach learning, leading to a digital revolution in education. This shift is marked by the integration of new technologies and the digitization of educational... Read More about Empowering Students for the 21st Century Through Digital Literacy.

Unregulated Futures: Scenario Planning for the Unknown (2024)
Presentation / Conference Contribution
Crawford, M., Roubelat, F., & Marchais-Roubelat, A. (2024, September). Unregulated Futures: Scenario Planning for the Unknown. Presented at Anticipation 2024, Lancaster, UK

Building from years of piloting novel methods for future visioning through group engagement, this curated session will take attendees through a fast-tracked, yet fully- immersive scenario planning workshop. The prompt is, “What does 2034 look like if... Read More about Unregulated Futures: Scenario Planning for the Unknown.

A method for constrained energy-maximising control of heaving wave-energy converters via a nonlinear frequency response (2024)
Presentation / Conference Contribution
Guiver, C. (2024, August). A method for constrained energy-maximising control of heaving wave-energy converters via a nonlinear frequency response. Presented at The 8th IEEE Conference on Control Technology and Applications (CCTA) 2024, Newcastle Upon Tyne

A theoretical grounding is presented for justifying how frequency domain methods may be applied in the determination of constrained extracted-energy maximising controls in wave-energy conversion applications subject to nonlinear models. A computation... Read More about A method for constrained energy-maximising control of heaving wave-energy converters via a nonlinear frequency response.

Novel Lagrange Multipliers-Driven Adaptive Offloading for Vehicular Edge Computing (2024)
Journal Article
Zhao, L., Li, T., Meng, G., Hawbani, A., Min, G., Al-Dubai, A., & Zomaya, A. (2024). Novel Lagrange Multipliers-Driven Adaptive Offloading for Vehicular Edge Computing. IEEE Transactions on Computers, 73(12), 2868-2881. https://doi.org/10.1109/TC.2024.3457729

Vehicular Edge Computing (VEC) is a transportation-specific version of Mobile Edge Computing (MEC) designed for vehicular scenarios. Task offloading allows vehicles to send computational tasks to nearby Roadside Units (RSUs) in order to reduce the co... Read More about Novel Lagrange Multipliers-Driven Adaptive Offloading for Vehicular Edge Computing.

Building a Good Digital Society from the Grassroots: Harnessing the Tradition of Community-led Initiatives in the Governance of Digital Services and Infrastructures (2024)
Report
Gerli, P. (2024). Building a Good Digital Society from the Grassroots: Harnessing the Tradition of Community-led Initiatives in the Governance of Digital Services and Infrastructures. British Academy

Over the past two decades, community broadband networks, platform cooperatives, and data cooperatives have emerged as promising models to counterbalance market distortions and power asymmetries in the governance of digital infrastructures, services a... Read More about Building a Good Digital Society from the Grassroots: Harnessing the Tradition of Community-led Initiatives in the Governance of Digital Services and Infrastructures.

Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances (2024)
Presentation / Conference Contribution
Hart, E., Renau, Q., Sim, K., & Alissa, M. (2024, September). Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances. Presented at 18th International Conference on Parallel Problem Solving From Nature PPSN 2024, Hagenburg, Austria

Deep neural networks (DNN) are increasingly being used to perform algorithm-selection in combinatorial optimisation domains, particularly as they accommodate input representations which avoid designing and calculating features. Mounting evidence fro... Read More about Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances.

Reputation Gaming in Crowd Technical Knowledge Sharing (2024)
Journal Article
Mazloomzadeh, I., Uddin, G., Khomh, F., & Sami, A. (2025). Reputation Gaming in Crowd Technical Knowledge Sharing. ACM transactions on software engineering and methodology, 34(1), Article 10. https://doi.org/10.1145/3691627

Stack Overrow incentive system awards users with reputation scores to ensure quality. The decentralized nature of the forum may make the incentive system prone to manipulation. This paper ooers, for the rst time, a comprehensive study of the reported... Read More about Reputation Gaming in Crowd Technical Knowledge Sharing.

Graph Injection Attack based on Node Similarity and Non-linear Feature Injection Strategy (2024)
Presentation / Conference Contribution
Li, Q., Gao, Y., Wang, F., Wang, C., Babaagba, K. O., & Tan, Z. (2024, October). Graph Injection Attack based on Node Similarity and Non-linear Feature Injection Strategy. Presented at 20th EAI International Conference on Security and Privacy in Communication Networks, Dubai, United Arab Emirates

Graph Neural Networks (GNNs) exhibit promise in the domains of network analysis and recommendation systems. Notwithstanding , these networks are susceptible to node injection attacks. To mitigate this vulnerability, the academic community has put for... Read More about Graph Injection Attack based on Node Similarity and Non-linear Feature Injection Strategy.

Towards Inclusive Intelligence: A Comprehensive Examination of GenAI Attitudes Among Higher Education Stakeholders (Dataset) (2024)
Data
Kiezebrink, K., Preston, S., Drumm, L., Lafferty, N., McIlwhan, R., & Cleland, E. (2024). Towards Inclusive Intelligence: A Comprehensive Examination of GenAI Attitudes Among Higher Education Stakeholders (Dataset). [Data]

This research project aimed to delve into the attitudes and perceptions of diverse higher education stakeholders regarding the integration of Generative Artificial Intelligence (GenAI) in academic settings. As GenAI became increasingly prevalent in e... Read More about Towards Inclusive Intelligence: A Comprehensive Examination of GenAI Attitudes Among Higher Education Stakeholders (Dataset).

VisCrypt: Image Encryption Featuring Novel Chaotic Key Generation and Block Permutation Techniques with Visual Cryptography (2024)
Presentation / Conference Contribution
Khan, M. S., Ahmad, J., Ali, M., Al Dubai, A., Pitropakis, N., & Buchanan, W. J. (2024, July). VisCrypt: Image Encryption Featuring Novel Chaotic Key Generation and Block Permutation Techniques with Visual Cryptography. Presented at 2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP), Sousse, Tunisia

In this digital era, ensuring the security of data transmission is critically important. Digital data, especially image data, needs to be secured against unauthorized access. In this regards, this paper presents a robust image encryption scheme named... Read More about VisCrypt: Image Encryption Featuring Novel Chaotic Key Generation and Block Permutation Techniques with Visual Cryptography.

User Preferences-Based Proactive Content Caching with Characteristics Differentiation in HetNets (2024)
Journal Article
Lin, N., Wang, Y., Zhang, E., Wan, S., Al-Dubai, A., & Zhao, L. (online). User Preferences-Based Proactive Content Caching with Characteristics Differentiation in HetNets. IEEE Transactions on Sustainable Computing, https://doi.org/10.1109/TSUSC.2024.3441606

With the proliferation of mobile applications, the explosion of mobile data traffic imposes a significant burden on backhaul links with limited capacity in heterogeneous cellular networks (HetNets). To alleviate this challenge, content caching based... Read More about User Preferences-Based Proactive Content Caching with Characteristics Differentiation in HetNets.

Improving Efficiency of Evolving Robot Designs via Self-Adaptive Learning Cycles and an Asynchronous Architecture (2024)
Presentation / Conference Contribution
Le Goff, L., & Hart, E. (2024, July). Improving Efficiency of Evolving Robot Designs via Self-Adaptive Learning Cycles and an Asynchronous Architecture. Presented at GECCO 2024 Embodied and Evolved Artificial Intelligence Workshop, Melbourne, Australia

Algorithmic frameworks for the joint optimisation of a robot's design and controller often utilise a learning loop nested within an evolutionary algorithm to refine the controller associated with a newly generated robot design. Intuitively, it is rea... Read More about Improving Efficiency of Evolving Robot Designs via Self-Adaptive Learning Cycles and an Asynchronous Architecture.