All Outputs (26531)

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.

Digi-Infrastructure: Digital Twin-Enabled Traffic Shaping with Low-Latency for 6G Smart Cities (2024)
Journal Article
Yigit, Y., Ahmadi, H., Yurdakul, G., Canberk, B., Hoang, T., & Duong, T. Q. (2024). Digi-Infrastructure: Digital Twin-Enabled Traffic Shaping with Low-Latency for 6G Smart Cities. IEEE Communications Standards Magazine, 8(3), 28-34. https://doi.org/10.1109/mcomstd.0002.2300027

Digital twin (DT)-based smart cities are anticipated to achieve seamless integration between physical and digital objects to satisfy an enormous number of users across all domains. Therefore, the infrastructure of 6G smart cities has become an import... Read More about Digi-Infrastructure: Digital Twin-Enabled Traffic Shaping with Low-Latency for 6G Smart Cities.

Reflections of a PhD mentor: Thesis Mentor Pilot Scheme 2024 (2024)
Presentation / Conference Contribution
Cameron, J., Naik, V., & Gourlay, E. (2024, September). Reflections of a PhD mentor: Thesis Mentor Pilot Scheme 2024. Presented at Vitae International Researcher Development Conference 2024, Online

Dr Jackie Cameron shares the experience of serving as a mentor on the 12-week pilot mentorship programme that aimed to improve the student experience and outcomes of PhD students at the right-up stage. Presenting at a workshop entitled 'Honey, We Shr... Read More about Reflections of a PhD mentor: Thesis Mentor Pilot Scheme 2024.

Federated learning‐driven dual blockchain for data sharing and reputation management in Internet of medical things (2024)
Journal Article
Gan, C., Xiao, X., Zhu, Q., Jain, D. K., Saini, A., & Hussain, A. (online). Federated learning‐driven dual blockchain for data sharing and reputation management in Internet of medical things. Expert Systems, https://doi.org/10.1111/exsy.13714

In the Internet of Medical Things (IoMT), the vulnerability of federated learning (FL) to single points of failure, low-quality nodes, and poisoning attacks necessitates innovative solutions. This article introduces a FL-driven dual-blockchain approa... Read More about Federated learning‐driven dual blockchain for data sharing and reputation management in Internet of medical things.

Throughput Maximization in RIS-Assisted NOMA-THz Communication Network (2024)
Journal Article
Do-Duy, T., Masaracchia, A., Canberk, B., Nguyen, L. D., & Duong, T. Q. (2024). Throughput Maximization in RIS-Assisted NOMA-THz Communication Network. IEEE Open Journal of the Communications Society, 5, 5706-5717. https://doi.org/10.1109/ojcoms.2024.3454255

In order to overcome spectrum scarcity and provide higher data rates, the sixth-generation (6G) wireless communication network is expected to perform data transmission using terahertz (THz) frequencies. However, the effective implementation of these... Read More about Throughput Maximization in RIS-Assisted NOMA-THz Communication Network.

The Growth of AI and Academic Misconduct: The Cost of Processing, Preparing and Investigating (2024)
Digital Artefact
Khaleel, F. (2024). The Growth of AI and Academic Misconduct: The Cost of Processing, Preparing and Investigating. [Recorded webinar]

In this Webinar from our 2024 AI and Academic Integrity event, Dr Fawad Khaleel (Head of Global Online, Business School of Edinburgh Napier University) covers the following questions around the cost of processing, preparing and investigating academic... Read More about The Growth of AI and Academic Misconduct: The Cost of Processing, Preparing and Investigating.

A Comprehensive Survey on Generative AI for Metaverse: Enabling Immersive Experience (2024)
Journal Article
Chamola, V., Sai, S., Bhargava, A., Sahu, A., Jiang, W., Xiong, Z., Niyato, D., & Hussain, A. (online). A Comprehensive Survey on Generative AI for Metaverse: Enabling Immersive Experience. Cognitive Computation, https://doi.org/10.1007/s12559-024-10342-9

Generative Artificial Intelligence models are Artificial Intelligence models that generate new content based on a prompt or input. The output content can be in various forms, including text, images, and video. Metaverse refers to a virtual world wher... Read More about A Comprehensive Survey on Generative AI for Metaverse: Enabling Immersive Experience.

Active Disturbance Rejection Control of Wrist Tremor Suppression System With Additional High-Order Repetitive Control Component (2024)
Journal Article
Zhang, Z., Huo, B., Liu, Y., Dong, A., & Yu, H. (online). Active Disturbance Rejection Control of Wrist Tremor Suppression System With Additional High-Order Repetitive Control Component. IEEE/ASME Transactions on Mechatronics, https://doi.org/10.1109/tmech.2024.3450599

Intention tremor is an involuntary and rhythmic muscle contraction that occurs during purposeful limb movements. Functional electrical stimulation based repetitive control (RC) has proven to be an effective approach to reject periodic tremor disturba... Read More about Active Disturbance Rejection Control of Wrist Tremor Suppression System With Additional High-Order Repetitive Control Component.

The Climate Investment Case for the Livestock Sector (2024)
Report
Wheelhouse, N., Bisson, A., Chamberlin, R., Wisser, D., & MacLeod, M. (2024). The Climate Investment Case for the Livestock Sector. Global Research Alliance on Greenhouse Gases

Key Messages
• Livestock are vital for nutrition, food security, and livelihoods in low-and middle-income countries (LMICs), but climate change threatens these benefits.
• The livestock sector also presents an environmental challenge, contributing... Read More about The Climate Investment Case for the Livestock Sector.

Effects of fishery bycatch-mitigation measures on vulnerable marine fauna and target catch (2024)
Journal Article
Huang, C., Rice, J., Richter, A., Zhou, K., Wang, Y., Wei, C., Pagani-Núñez, E., Maleko, P. N., Zhang, X., Lee, T. M., & Liu, Y. (online). Effects of fishery bycatch-mitigation measures on vulnerable marine fauna and target catch. Nature Sustainability, https://doi.org/10.1038/s41893-024-01422-7

Reducing fisheries bycatches of vulnerable species is critical to marine biodiversity conservation and sustainable fisheries development. Although various preventive technical measures have been implemented, their overall effects are poorly understoo... Read More about Effects of fishery bycatch-mitigation measures on vulnerable marine fauna and target catch.

Reputation Gaming in Crowd Technical Knowledge Sharing (2024)
Journal Article
Mazloomzadeh, I., Uddin, G., Khomh, F., & Sami, A. (online). Reputation Gaming in Crowd Technical Knowledge Sharing. ACM transactions on software engineering and methodology, 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.

"I Am Still Here" – Participatory Production during the Pandemic (2024)
Presentation / Conference Contribution
Guma, T. (2024, September). "I Am Still Here" – Participatory Production during the Pandemic. Presented at MECCSA (Media, Communication and Cultural Studies Association) 2024, Manchester, UK

During the covid pandemic colleagues from Sociology and Screen and Performance at Edinburgh Napier University collaborated with activist and community researchers to work with asylum seeking people in Glasgow to better understand and document their e... Read More about "I Am Still Here" – Participatory Production during the Pandemic.

Creative Informatics: how data driven innovation has transformed the creative workplace (2024)
Presentation / Conference Contribution
Paneels, I., & Patrick-Thomson, H. (2024, September). Creative Informatics: how data driven innovation has transformed the creative workplace. Paper presented at Transdisciplinary Workplace Research Conference

The creative economy is a workforce with a high proportion of freelancers and SMEs. This paper reflects on new ways of working, accelerated by the digital pivot of the creative workplace caused by the global pandemic. Whilst the impact of digital tec... Read More about Creative Informatics: how data driven innovation has transformed the creative workplace.

Exploring Reinforced Class Separability and Discriminative Representations for SAR Target Open Set Recognition (2024)
Journal Article
Gao, F., Luo, X., Lang, R., Wang, J., Sun, J., & Hussain, A. (2024). Exploring Reinforced Class Separability and Discriminative Representations for SAR Target Open Set Recognition. Remote Sensing, 16(17), Article 3277. https://doi.org/10.3390/rs16173277

Current synthetic aperture radar (SAR) automatic target recognition (ATR) algorithms primarily operate under the closed-set assumption, implying that all target classes have been previously learned during the training phase. However, in open scenario... Read More about Exploring Reinforced Class Separability and Discriminative Representations for SAR Target Open Set Recognition.

Biodiversity net gain (2024)
Report
Wentworth, J. (2024). Biodiversity net gain. UK Parliament

Mandatory biodiversity net gain (BNG) is a new requirement in addition to existing biodiversity and wildlife planning policy. The 2019 impact assessment for the policy states that developers causing the most environmental damage should face the highe... Read More about Biodiversity net gain.

Patient and public perspectives of involvement in cardiovascular research in Scotland, UK. A report of the NHS Research Scotland Heart Engagement And Research Talks (2024)
Journal Article
Mchale, S., Pearsons, A., Hanson, C., Mcauley, M., Simpson, M., Porteous, C., Irvine, V., Houston, R., Henderson, P., & Neubeck, L. (in press). Patient and public perspectives of involvement in cardiovascular research in Scotland, UK. A report of the NHS Research Scotland Heart Engagement And Research Talks. British Journal of Cardiology,

Background: Cardiovascular disease (CVD) is a leading cause of global mortality, necessitating extensive research efforts. In Scotland, the NHS Research Scotland (NRS) Cardiovascular Network plays a pivotal role in coordinating cardiovascular researc... Read More about Patient and public perspectives of involvement in cardiovascular research in Scotland, UK. A report of the NHS Research Scotland Heart Engagement And Research Talks.

Mapping so-called ‘anti-gender’ discourses in parliamentary and media spaces across the ‘eastern’ and ‘western’ geopolitical imaginations of ‘Europe’. (2024)
Presentation / Conference Contribution
Kulpa, R. (2024, September). Mapping so-called ‘anti-gender’ discourses in parliamentary and media spaces across the ‘eastern’ and ‘western’ geopolitical imaginations of ‘Europe’. Presented at 7th European Geographies of Sexualities Conference (EGSC) 2024, University of Brighton, UK

Anti-feminist and anti-LGBTIQ+ mobilisations have taken roots transnationally, denying individuals autonomy, rights to bodily integrity or self-determination, and attacking selected groups of people (e.g. trans* people, people doing abortion) in orde... Read More about Mapping so-called ‘anti-gender’ discourses in parliamentary and media spaces across the ‘eastern’ and ‘western’ geopolitical imaginations of ‘Europe’..

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.

Gamification in Hand Rehabilitation Following Stroke (2024)
Book Chapter
Bani, N. A., Mahadi, M., Noordin, M. K., & Muhammad Sukki, F. (2024). Gamification in Hand Rehabilitation Following Stroke. In N. Aini Bani, & S. Usman (Eds.), Technological Advances In Healthcare (61-86). Penerbit Universiti Teknologi Malaysia Press