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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.

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.

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.