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The Presidents of the Institute of Wood Science (2024)
Journal Article
True, A., Ridley-Ellis, D., Spear, M., & Ansell, M. P. (in press). The Presidents of the Institute of Wood Science. International Wood Products Journal, https://doi.org/10.1177/20426445241246844

The Institute of Wood Science (IWSc) represented the interests and knowledge of wood scientists and wood technologists in the UK and beyond between 1955 and 2009 when it merged with the Institute of Materials, Minerals and Mining (IOM3). In that time... Read More about The Presidents of the Institute of Wood Science.

Participatory Explorations in the Techno-Spiritual (2024)
Presentation / Conference Contribution
Grandison, T. (2024, June). Participatory Explorations in the Techno-Spiritual. Presented at The 22nd European Conference on Computer-Supported Cooperative Work, Rimini, Italy

This exploratory paper presents a pilot study conducted with 64 undergraduate students at Edinburgh Napier University in November 2023. The aim of this study was to understand how people who do not necessarily identify as religious engaged in what th... Read More about Participatory Explorations in the Techno-Spiritual.

An innovative approach for the passive cooling of batteries: An empirical investigation of copper deposition on polyurethane foam for the enhancement of phase change material (2024)
Journal Article
Alcock, K. M., Shearer, N., Santos, F. V., Cai, Z., & Goh, K. (2024). An innovative approach for the passive cooling of batteries: An empirical investigation of copper deposition on polyurethane foam for the enhancement of phase change material. Applied M

A proof-of-concept utilising Copper-Plated Polyurethane Foam (CPPF) and Phase Change Material (PCM) for passive thermal management of lithium-ion batteries is demonstrated in this study. The aim of this research is to assess the effectiveness of CPPF... Read More about An innovative approach for the passive cooling of batteries: An empirical investigation of copper deposition on polyurethane foam for the enhancement of phase change material.

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.

Explaining evolutionary feature selection via local optima networks (2024)
Presentation / Conference Contribution
Adair, J., Thomson, S. L., & Brownlee, A. E. (2024, July). Explaining evolutionary feature selection via local optima networks. Presented at ACM Genetic and Evolutionary Computation Conference (GECCO) 2024, Melbourne, Australia

We analyse fitness landscapes of evolutionary feature selection to obtain information about feature importance in supervised machine learning. Local optima networks (LONs) are a compact representation of a landscape, and can potentially be adapted fo... Read More about Explaining evolutionary feature selection via local optima networks.

Exploring the use of fitness landscape analysis for understanding malware evolution (2024)
Presentation / Conference Contribution
Babaagba, K., Murali, R., & Thomson, S. L. (2024, July). Exploring the use of fitness landscape analysis for understanding malware evolution. Presented at ACM Genetic and Evolutionary Computation Conference (GECCO) 2024, Melbourne, Australia

We conduct a preliminary study exploring the potential of using fitness landscape analysis for understanding the evolution of malware. This type of optimisation is fairly new and has not previously been studied through the lens of landscape analysis.... Read More about Exploring the use of fitness landscape analysis for understanding malware evolution.

Parametric Study on PVDF Electrospun Nanofibers: Optical Characteristics, Piezoelectric Analysis, and Correlated Applications (2024)
Journal Article
Nair, R., Mahdi, J., Amjad, O., Maree, K., Jain, A., Al-Dubai, A., Jaradat, S., Shyha, I., Trabelsi, M., Alothamn, B., & Shehata, N. (online). Parametric Study on PVDF Electrospun Nanofibers: Optical Characteristics, Piezoelectric Analysis, and Correlated

In this study, both the optical and piezoelectric properties of polyvinylidene fluoride (PVDF) electrospun nanofibers were investigated at different needle-to-collector distances of the electrospinning process at constant applied high voltage. For pi... Read More about Parametric Study on PVDF Electrospun Nanofibers: Optical Characteristics, Piezoelectric Analysis, and Correlated Applications.

Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins (2024)
Presentation / Conference Contribution
Kasarapu, S. S. K., Vasantha, G., Marzano, A., Corney, J., Hanson, J., Quigley, J., El-Raoui, H., Thompson, N., & Sherlock, A. (2024, August). Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins. Presented at 21st Inte

This paper addresses a critical gap in digital twin simulation within manufacturing environments by focusing on the dynamic representation of worker movements during assembly processes. We introduce an innovative approach that utilizes Ultra-Wideband... Read More about Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins.

Multi-Attribute Analysis For Sustainable Reclamation Of Urban Industrial Sites: Case From Damascus Post-Conflict (2024)
Presentation / Conference Contribution
Khaddour, L., Osunsanmi, T., Olawumi, T., & Bradly, L. (2024, June). Multi-Attribute Analysis For Sustainable Reclamation Of Urban Industrial Sites: Case From Damascus Post-Conflict. Presented at The 2024 World Sustainable Built Environment Conference (WS

The reclamation of urban industrial zones presents intricate challenges within urban planning, notably in post-disaster scenarios aimed at revitalizing urban landscapes. This study delves into the complexities and decision-making intricacies involved... Read More about Multi-Attribute Analysis For Sustainable Reclamation Of Urban Industrial Sites: Case From Damascus Post-Conflict.

Data as a potential path for the automotive aftersales business to remain active through and after the decarbonisation (2024)
Journal Article
Eslava-Bautista, J., & Beecroft, M. (2024). Data as a potential path for the automotive aftersales business to remain active through and after the decarbonisation. International Journal of Services Technology and Management, 29(1), 39-58. https://doi.org/

Decarbonisation of transport implies transition and shift for many traditional businesses, one of which is the automotive aftersales. One of the strategies identified to address decarbonisation and meet GHG emissions targets is the adoption of Electr... Read More about Data as a potential path for the automotive aftersales business to remain active through and after the decarbonisation.

The digital Foley: what Foley artists say about using audio synthesis (2024)
Presentation / Conference Contribution
Di Donato, B., & McGregor, I. (2024, April). The digital Foley: what Foley artists say about using audio synthesis. Presented at 2024 AES 6th International Conference on Audio for Games, Tokyo, Japan

Foley is a sound production technique where organicity and authenticity in sound creation are key to fostering creativity. Audio synthesis, Artificial Intelligence (AI) and Interaction Design (IXD) have been explored by the community to investigate t... Read More about The digital Foley: what Foley artists say about using audio synthesis.

AI-Driven Design of a Quasi-digitally-coded Wideband Microstrip Patch Antenna Array (2024)
Presentation / Conference Contribution
Akinsolu, M. O., Al-Yasir, Y. I. A., Hua, Q., See, C., & Liu, B. (2024, March). AI-Driven Design of a Quasi-digitally-coded Wideband Microstrip Patch Antenna Array. Presented at EuCAP 2024, Glasgow, UK

Artificial intelligence (AI) is enabling the automated design of contemporary antennas for numerous applications. Specifically, the use of machine learning (ML)-assisted global optimization techniques for the efficient design of modern antennas is no... Read More about AI-Driven Design of a Quasi-digitally-coded Wideband Microstrip Patch Antenna Array.

Heating system oversizing and low-temperature readiness of a pre-1919 school in Scotland (2024)
Journal Article
Reguis, A., Currie, J., & Tunzi, M. (2024). Heating system oversizing and low-temperature readiness of a pre-1919 school in Scotland. Energy and Buildings, 312, Article 114202. https://doi.org/10.1016/j.enbuild.2024.114202

As part of the decarbonization of its existing building stock the UK needs to replace gas boilers with heat pumps and low-temperature heat networks. Both technologies are efficient at supply temperatures of 55 °C, with a maximum of 70 °C for heat net... Read More about Heating system oversizing and low-temperature readiness of a pre-1919 school in Scotland.

The British Rail Total Operations Processing System And the Birth of Telematics (2024)
Journal Article
Urquhart, N. (online). The British Rail Total Operations Processing System And the Birth of Telematics. IEEE Annals of the History of Computing, https://doi.org/10.1109/mahc.2024.3393611

Contemporary mobility is almost universally supported by telecommunications networks and computing facilities known collectively as telematics. This has allowed closer integration of freight logistics into supply chains, and supported the growth of... Read More about The British Rail Total Operations Processing System And the Birth of Telematics.

Two-Level Dynamic Programming-Enabled Non-Metric Data Aggregation Technique for the Internet of Things (2024)
Journal Article
Jan, S. R., Ghaleb, B., Tariq, U. U., Ali, H., Sabrina, F., & Liu, L. (2024). Two-Level Dynamic Programming-Enabled Non-Metric Data Aggregation Technique for the Internet of Things. Electronics, 13(9), Article 1651. https://doi.org/10.3390/electronics1309

The Internet of Things (IoT) has become a transformative technological infrastructure, serving as a benchmark for automating and standardizing various activities across different domains to reduce human effort, especially in hazardous environments. I... Read More about Two-Level Dynamic Programming-Enabled Non-Metric Data Aggregation Technique for the Internet of Things.

Impact of the Covid-19 pandemic on audiology service delivery: Observational study of the role of social media in patient communication (2024)
Journal Article
Hussain, A., Hussain, Z., Gogate, M., Dashtipour, K., Ng, D., Riaz, M. S., …Hussain, A. (2024). Impact of the Covid-19 pandemic on audiology service delivery: Observational study of the role of social media in patient communication. PLOS ONE, 19(4), Art

The Covid-19 pandemic has highlighted an era in hearing health care that necessitates a comprehensive rethinking of audiology service delivery. There has been a significant increase in the number of individuals with hearing loss who seek information... Read More about Impact of the Covid-19 pandemic on audiology service delivery: Observational study of the role of social media in patient communication.

Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare (2024)
Journal Article
Naseem, U., Thapa, S., Zhang, Q., Wang, S., Rashid, J., Hu, L., & Hussain, A. (2024). Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare. Neurocomputing, 592, Article 127736. https://doi.org/10.1016/j.

The digitization of healthcare systems has led to the proliferation of electronic health records (EHRs), serving as comprehensive repositories of patient information. However, the vast volume and complexity of EHR data present challenges in extractin... Read More about Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare.

Engine performance and emissions from a fumigated hydrogen/ammonia compression ignition engine with a hydrogen peroxide pilot (2024)
Journal Article
Paterson, G., Tingas, E., Hardalupas, Y., & Taylor, A. M. (2024). Engine performance and emissions from a fumigated hydrogen/ammonia compression ignition engine with a hydrogen peroxide pilot. International Journal of Hydrogen Energy, 67, 334-350. https:/

The study investigates, numerically, the potential use of introducing aqueous HO as an ignition promoter in a statistically homogeneous NH/H fuelled, medium speed (1250 rpm), 4-stroke, 1.3 litre cylinder displacement, mildly boosted CI engine with a... Read More about Engine performance and emissions from a fumigated hydrogen/ammonia compression ignition engine with a hydrogen peroxide pilot.