All Outputs (11123)

Stroke recovery—what are people talking about on Twitter? A content analysis (2024)
Journal Article
Gallacher, K. I., Petrie, D., McAdie, D. R., McGuire, P., & Quinn, T. J. (online). Stroke recovery—what are people talking about on Twitter? A content analysis. Disability and Rehabilitation, https://doi.org/10.1080/09638288.2024.2403722

Purpose
Prioritisation exercises seek out what matters to key stakeholders to inform the planning of research. Social media platforms are potentially useful data sources. The aim was to examine the content of tweets, short messages containing text a... Read More about Stroke recovery—what are people talking about on Twitter? A content analysis.

DID:RING: Ring Signatures Using Decentralised Identifiers For Privacy-Aware Identity Proof (2024)
Presentation / Conference Contribution
Kasimatis, D., Grierson, S., Buchanan, W. J., Eckl, C., Papadopoulos, P., Pitropakis, N., Chrysoulas, C., Thomson, C., & Ghaleb, B. (2024, September). DID:RING: Ring Signatures Using Decentralised Identifiers For Privacy-Aware Identity Proof. Paper presented at 2024 IEEE International Conference on Cyber Security and Resilience (CSR), London, UK

Decentralised identifiers have become a standardised element of digital identity architecture, with supra-national organisations such as the European Union adopting them as a key component for a unified European digital identity ledger. This paper de... Read More about DID:RING: Ring Signatures Using Decentralised Identifiers For Privacy-Aware Identity Proof.

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.

Image De-noising Based on WMF Technique for Electrical Trees Structure in High Voltage Cable Insulation (2024)
Journal Article
Rohani, M. N. K. H., Abdulah, C. S. K., Ismail, B., Mohd Isa, M. A., Rosmi, A. S., Jamil, M. K., Muhammad-Sukki, F., & Mas’ud, A. A. (2025). Image De-noising Based on WMF Technique for Electrical Trees Structure in High Voltage Cable Insulation. Journal of Advanced Research in Applied Sciences and Engineering Technology, 53(1), 57-72. https://doi.org/10.37934/araset.53.1.5772

Electrical treeing is a common problem during the pre-breakdown phenomenon in solid insulations due to the damage caused by Partial Discharge (PD) that progresses through stressed insulation via chemical degradation, which resembles the shape of a tr... Read More about Image De-noising Based on WMF Technique for Electrical Trees Structure in High Voltage Cable Insulation.

EV-IRP Manager: An Electric Vehicle Incident Response Playbook Manager and Visualizer Toolkit (2024)
Presentation / Conference Contribution
Alpdag, K., Moradpoor, N., Hasina Andriambelo, N., Wooderson, P., & Maglaras, L. (2024, December). EV-IRP Manager: An Electric Vehicle Incident Response Playbook Manager and Visualizer Toolkit. Presented at SINCONF 2024: 17th International Conference on Security of Information and Networks, Online

In the rapidly evolving realm of electric vehicle technology, safeguarding the cybersecurity of both electric vehicles and their charging infrastructure has become fundamental. The integration of electric vehicles and their charging stations into the... Read More about EV-IRP Manager: An Electric Vehicle Incident Response Playbook Manager and Visualizer Toolkit.

Sound design ideation: a structured and systematic analysis (2024)
Presentation / Conference Contribution
Selfridge, R., Delle Monache, S., & Pauletto, S. (2024, September). Sound design ideation: a structured and systematic analysis. Paper presented at AM '24: Audio Mostly 2024 - Explorations in Sonic Cultures, Milan, Italy

Recent research identified sixteen dimensions along which sound designers make decisions when ideating and sketching sounds. These 16 dimensions can be grouped into “Overarching strategies”, “Design Strategies” and “Approaches to sound”. In this pape... Read More about Sound design ideation: a structured and systematic analysis.

Auditory Occlusion Based on the Human Body in the Direct Sound Path: Measured and Perceivable Effects (2024)
Presentation / Conference Contribution
McSeveney, S., Tamariz, M., McGregor, I., Koniaris, B., & Mitchell, K. (2024, September). Auditory Occlusion Based on the Human Body in the Direct Sound Path: Measured and Perceivable Effects. Presented at Audio Mostly 2024 - Explorations in Sonic Cultures, Milan, Italy

Audio plays a key role in the sense of immersion and presence in VR, as it correlates to improved enjoyment of content. We share results of a perception study on the ability of listeners to recognise auditory occlusion due to the presence of a human... Read More about Auditory Occlusion Based on the Human Body in the Direct Sound Path: Measured and Perceivable Effects.

Transparent RFID tag wall enabled by artificial intelligence for assisted living (2024)
Journal Article
Khan, M. Z., Usman, M., Tahir, A., Farooq, M., Qayyum, A., Ahmad, J., Abbas, H., Imran, M., & Abbasi, Q. H. (2024). Transparent RFID tag wall enabled by artificial intelligence for assisted living. Scientific Reports, 14(1), 18896. https://doi.org/10.1038/s41598-024-64411-y

Current approaches to activity-assisted living (AAL) are complex, expensive, and intrusive, which reduces their practicality and end user acceptance. However, emerging technologies such as artificial intelligence and wireless communications offer new... Read More about Transparent RFID tag wall enabled by artificial intelligence for assisted living.

Information avoidance by younger adults with Type 1 diabetes: A preliminary empirical study (2024)
Journal Article
Ryan, B., & Webster, G. (2024). Information avoidance by younger adults with Type 1 diabetes: A preliminary empirical study. Information Research, 29(3), 56-73. https://doi.org/10.47989/ir293701

Introduction. People with Type 1 diabetes need to collect data to calculate their own insulin doses, and collect information about potential complications. However, information avoidance may be a barrier to such activities.
Method. A preliminary stu... Read More about Information avoidance by younger adults with Type 1 diabetes: A preliminary empirical study.

A New Zero Waste Design for a Manufacturing Approach for Direct-Drive Wind Turbine Electrical Generator Structural Components (2024)
Journal Article
Gonzalez-Delgado, D., Jaen-Sola, P., & Oterkus, E. (2024). A New Zero Waste Design for a Manufacturing Approach for Direct-Drive Wind Turbine Electrical Generator Structural Components. Machines, 12(9), Article 643. https://doi.org/10.3390/machines12090643

An integrated structural optimization strategy was produced in this study for direct-drive electrical generator structures of offshore wind turbines, implementing a design for an additive manufacturing approach, and using generative design techniques... Read More about A New Zero Waste Design for a Manufacturing Approach for Direct-Drive Wind Turbine Electrical Generator Structural Components.

MTFDN: An image copy‐move forgery detection method based on multi‐task learning (2024)
Journal Article
Liang, P., Tu, H., Hussain, A., & Li, Z. (online). MTFDN: An image copy‐move forgery detection method based on multi‐task learning. Expert Systems, https://doi.org/10.1111/exsy.13729

Image copy-move forgery, where an image region is copied and pasted within the same image, is a simple yet widely employed manipulation. In this paper, we rethink copy-move forgery detection from the perspective of multi-task learning and summarize t... Read More about MTFDN: An image copy‐move forgery detection method based on multi‐task learning.

The Performance of Frequency Fitness Assignment on JSSP for Different Problem Instance Sizes (2024)
Presentation / Conference Contribution
Pijning, I., Koppenhol, L., Dijkzeul, D., Brouwer, N., Thomson, S. L., & van den Berg, D. (2024, November). The Performance of Frequency Fitness Assignment on JSSP for Different Problem Instance Sizes. Paper presented at ECTA 2024: 16th International Conference on Evolutionary Computation Theory and Applications, Porto, Portugal

This study compares the performance of the hillClimber algorithm to that of the hillClimber with a plugged in Frequency Fitness Assignment (FFA) method on the optimization of 240 Job Shop Scheduling Problem (JSSP) instances. The JSSP instances have b... Read More about The Performance of Frequency Fitness Assignment on JSSP for Different Problem Instance Sizes.

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. (online). Novel Lagrange Multipliers-Driven Adaptive Offloading for Vehicular Edge Computing. IEEE Transactions on Computers, 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.

AI-Enhanced Digital Twin Framework for Cyber-Resilient 6G Internet-of-Vehicles Networks (2024)
Journal Article
Yigit, Y., Maglaras, L., Buchanan, W. J., Canberk, B., Shin, H., & Duong, T. Q. (online). AI-Enhanced Digital Twin Framework for Cyber-Resilient 6G Internet-of-Vehicles Networks. IEEE Internet of Things, https://doi.org/10.1109/jiot.2024.3455089

Digital twin technology is crucial to the development of the sixth-generation (6G) Internet of Vehicles (IoV) as it allows the monitoring and assessment of the dynamic and complicated vehicular environment. However, 6G IoV networks have critical chal... Read More about AI-Enhanced Digital Twin Framework for Cyber-Resilient 6G Internet-of-Vehicles Networks.

Mixed displacement–pressure formulations and suitable finite elements for multimaterial problems with compressible and incompressible models (2024)
Journal Article
Kadapa, C. (2024). Mixed displacement–pressure formulations and suitable finite elements for multimaterial problems with compressible and incompressible models. Computer Methods in Applied Mechanics and Engineering, 432(Part A), Article 117354. https://doi.org/10.1016/j.cma.2024.117354

Multimaterial problems in linear and nonlinear elasticity are some of the least explored using mixed finite element formulations with higher-order elements. The fundamental issue in adapting the mixed displacement–pressure formulations with linear an... Read More about Mixed displacement–pressure formulations and suitable finite elements for multimaterial problems with compressible and incompressible models.

Transition-aware human activity recognition using an ensemble deep learning framework (2024)
Journal Article
Khan, S. I., Dawood, H., Khan, M., F. Issa, G., Hussain, A., Alnfiai, M. M., & Adnan, K. M. (2025). Transition-aware human activity recognition using an ensemble deep learning framework. Computers in Human Behavior, 162, Article 108435. https://doi.org/10.1016/j.chb.2024.108435

Understanding human activities in daily life is of utmost importance, especially in the context of personalized and adaptive ubiquitous learning. Although existing HAR systems perform well-identifying activities based on their inter-spatial and tempo... Read More about Transition-aware human activity recognition using an ensemble deep learning framework.

Hoop Diagrams: A Set Visualization Method (2024)
Presentation / Conference Contribution
Rodgers, P., Chapman, P., Blake, A., Nollenburg, M., Wallinger, M., & Dobler, A. (2024, September). Hoop Diagrams: A Set Visualization Method. Presented at 14th International Conference on the Theory and Application of Diagrams, Munster, Germany

We introduce Hoop Diagrams, a new visualization technique for set data. Hoop Diagrams are a circular visualization with hoops representing sets and sectors representing set intersections. We present an interactive tool for drawing Hoop Diagrams and d... Read More about Hoop Diagrams: A Set Visualization Method.

Entropy, Search Trajectories, and Explainability for Frequency Fitness Assignment (2024)
Presentation / Conference Contribution
Thomson, S. L., Ochoa, G., van den Berg, D., Liang, T., & Weise, T. (2024, September). Entropy, Search Trajectories, and Explainability for Frequency Fitness Assignment. Presented at Parallel Problem Solving from Nature (PPSN 2024), Hagenberg, Austria

Local optima are a menace that can trap optimisation processes. Frequency fitness assignment (FFA) is an concept aiming to overcome this problem. It steers the search towards solutions with rare fitness instead of high-quality fitness. FFA-based algo... Read More about Entropy, Search Trajectories, and Explainability for Frequency Fitness Assignment.

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.