All Outputs (26669)

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.

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.

Designing out Barriers - Student Partnership for Student Voice Research (2024)
Presentation / Conference Contribution
Garden, C., Skelton, F., & Calabrese, P. (2024, September). Designing out Barriers - Student Partnership for Student Voice Research. Presented at RAISE Annual Conference 2024, Leicester

We are committed to creating a culture of inclusion at Edinburgh Napier University. Listening to and respecting the student voice are part of the culture – to be an inclusive university we must have ways to hear every student and work to remove any b... Read More about Designing out Barriers - Student Partnership for Student Voice Research.

Differences in prescribing and dispensing at end-of-life between people who died at home before and during the Covid-19 pandemic in Scotland. (2024)
Presentation / Conference Contribution
Savinc, J., & Atherton, I. (2024, September). Differences in prescribing and dispensing at end-of-life between people who died at home before and during the Covid-19 pandemic in Scotland. Presented at International Population Data Linkage Network (IPDLN) 2024, Chicago, IL, USA

The occupational roles of nurses and midwives in the UK: an analysis of the Nursing and Midwifery Council-census England and Wales 2021 data linkage study (2024)
Presentation / Conference Contribution
Jamieson, M., Savinc, J., & Atherton, I. (2024, September). The occupational roles of nurses and midwives in the UK: an analysis of the Nursing and Midwifery Council-census England and Wales 2021 data linkage study. Presented at International Population Data Linkage Network (IPDLN) 2024, Chicago, IL, USA

RELEASE: Preliminary results from a novel data-linkage study into mental health and substance use service utilisation by people released from Scottish prisons (2024)
Presentation / Conference Contribution
Savinc, J., Kjellgren, R., Connell, C., & Hunt, K. (2024, September). RELEASE: Preliminary results from a novel data-linkage study into mental health and substance use service utilisation by people released from Scottish prisons. Presented at International Population Data Linkage Network (IPDLN) 2024, Chicago, IL, USA

Objectives
People released from prison are at increased risk of dying by suicide, drug overdose, and illnesses related to drugs and alcohol. International literature demonstrates patterns in health service access that imply service accessibility may... Read More about RELEASE: Preliminary results from a novel data-linkage study into mental health and substance use service utilisation by people released from Scottish prisons.

The EU Commission touches upon the meaning of undertaking while exercising its power to obtain information (RAI/UNITEL) (2024)
Other
Torti, V. (2024). The EU Commission touches upon the meaning of undertaking while exercising its power to obtain information (RAI/UNITEL)

Case Comment on the EU Commission's decision in the 1978 competition law case RAI/UNITEL.

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.

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.

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.

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.

Patient Reported Outcome Measures in Routine Hematology Cancer Care: A Scoping Review (2024)
Journal Article
Campbell, K. (in press). Patient Reported Outcome Measures in Routine Hematology Cancer Care: A Scoping Review. Cancer Nursing,

Quantification and characterisation of microplastics in organic waste-derived soil amendments in Scotland (dataset) (2024)
Data
Rimmaudo, A., Cundill, A., Singleton, I., Morrison, D., & Blaud, A. (2024). Quantification and characterisation of microplastics in organic waste-derived soil amendments in Scotland (dataset). [Data]. https://doi.org/10.17869/enu.2024.3828260

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.

Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection (2024)
Presentation / Conference Contribution
Renau, Q., & Hart, E. (2024, September). Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection. Presented at 18th International Conference, PPSN 2024, Hagenberg, Austria

Algorithm-selection (AS) methods are essential in order to obtain the best performance from a portfolio of solvers over large sets of instances. However, many AS methods rely on an analysis phase, e.g. where features are computed by sampling solution... Read More about Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection.

Towards sustainability: Examining financial, economic, and societal determinants of environmental degradation (2024)
Journal Article
El Khoury, R., Min Du, A., Nasrallah, N., Marashdeh, H., & Atayah, O. F. (2025). Towards sustainability: Examining financial, economic, and societal determinants of environmental degradation. Research in International Business and Finance, 73(Part A), Article 102557. https://doi.org/10.1016/j.ribaf.2024.102557

We examine the determinants of environmental degradation, focusing on MENA economies from 1991 to 2020, with a particular focus on the role of sectoral composition. Specifically, we assess the contributions of the industrial, manufa... Read More about Towards sustainability: Examining financial, economic, and societal determinants of environmental degradation.

A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories (2024)
Presentation / Conference Contribution
van Stein, N., Thomson, S. L., & Kononova, A. V. (2024, September). A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories. Presented at Parallel Problem Solving from Nature (PPSN) 2024, Hagenberg, Austria

To guide the design of better iterative optimisation heuristics, it is imperative to understand how inherent structural biases within algorithm components affect the performance on a wide variety of search landscapes. This study explores the impact o... Read More about A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories.

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.

Continuous Transfer Learning for UAV Communication-aware Trajectory Design (2024)
Presentation / Conference Contribution
Sun, C., Fontanesi, G., Chetty, S. B., Liang, X., Canberk, B., & Ahmadi, H. (2024, July). Continuous Transfer Learning for UAV Communication-aware Trajectory Design. Presented at The 11th International Conference on Wireless Networks and Mobile Communications (WINCOM 2024), Leeds, England

Deep Reinforcement Learning (DRL) emerges as a prime solution for Unmanned Aerial Vehicle (UAV) trajectory planning, offering proficiency in navigating high-dimensional spaces, adaptability to dynamic environments, and making sequential decisions bas... Read More about Continuous Transfer Learning for UAV Communication-aware Trajectory Design.