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Clustering-Based Resource Management for Consumer Cost Optimization in IoT Edge Computing Environments (2024)
Journal Article
Denden, M., Jemmali, M., Boulila, W., Soni, M., Khan, F., & Ahmad, J. (online). Clustering-Based Resource Management for Consumer Cost Optimization in IoT Edge Computing Environments. IEEE Transactions on Consumer Electronics, https://doi.org/10.1109/tce.2024.3414929

Edge computing emerges as a pivotal model in the era of next-generation consumer electronics and the emerging challenges of multimodal data-driven decision-making. Specifically, edge computing offers an open computing architecture for the vast and di... Read More about Clustering-Based Resource Management for Consumer Cost Optimization in IoT Edge Computing Environments.

SACNN‐IDS: A self‐attention convolutional neural network for intrusion detection in industrial internet of things (2024)
Journal Article
Qathrady, M. A., Ullah, S., Alshehri, M. S., Ahmad, J., Almakdi, S., Alqhtani, S. M., Khan, M. A., & Ghaleb, B. (online). SACNN‐IDS: A self‐attention convolutional neural network for intrusion detection in industrial internet of things. CAAI Transactions on Intelligence Technology, https://doi.org/10.1049/cit2.12352

Industrial Internet of Things (IIoT) is a pervasive network of interlinked smart devices that provide a variety of intelligent computing services in industrial environments. Several IIoT nodes operate confidential data (such as medical, transportatio... Read More about SACNN‐IDS: A self‐attention convolutional neural network for intrusion detection in industrial internet of things.

Audience perceptions of Foley footsteps and 3D realism designed to convey walker characteristics (2024)
Journal Article
Cunningham, S., & McGregor, I. (online). Audience perceptions of Foley footsteps and 3D realism designed to convey walker characteristics. Personal and Ubiquitous Computing, https://doi.org/10.1007/s00779-024-01819-3

Foley artistry is an essential part of the audio post-production process for film, television, games, and animation. By extension, it is as crucial in emergent media such as virtual, mixed, and augmented reality. Footsteps are a core activity that a... Read More about Audience perceptions of Foley footsteps and 3D realism designed to convey walker characteristics.

Smart-Textile-Based Electrochemical Capacitive Ionic Sensors for High-Performance Epidermal Electronics (2024)
Journal Article
Mavelil, A. T., Sam, V., Markapudi, P. R., Paul, F., Beg, M., & Manjakkal, L. (2024). Smart-Textile-Based Electrochemical Capacitive Ionic Sensors for High-Performance Epidermal Electronics. IEEE Sensors Letters, 8(7), Article 2000704. https://doi.org/10.1109/lsens.2024.3411780

Recently, biomedical engineering has placed greater importance on wearable and disposable health-care monitoring devices. Various degradable biosensors have been developed to measure human parameters, such as temperature, pH, pressure, strain, and io... Read More about Smart-Textile-Based Electrochemical Capacitive Ionic Sensors for High-Performance Epidermal Electronics.

Multi‐model deep learning system for screening human monkeypox using skin images (2024)
Journal Article
Gupta, K., Bajaj, V., Jain, D. K., & Hussain, A. (online). Multi‐model deep learning system for screening human monkeypox using skin images. Expert Systems, https://doi.org/10.1111/exsy.13651

Purpose Human monkeypox (MPX) is a viral infection that transmits between individuals via direct contact with animals, bodily fluids, respiratory droplets, and contaminated objects like bedding. Traditional manual screening for the MPX infection is... Read More about Multi‐model deep learning system for screening human monkeypox using skin images.

Being in two places at the same time: A future for hybrid learning based on student preferences (2024)
Journal Article
Fabian, K., Smith, S., & Taylor-Smith, E. (online). Being in two places at the same time: A future for hybrid learning based on student preferences. TechTrends, https://doi.org/10.1007/s11528-024-00974-x

The Covid-19 pandemic moved focus from face-to-face learning to hybrid in Higher Education; many educators did not have previous experience of this mode prior to this shift in learning locations. One form of hybrid learning is “synchronous hybrid lea... Read More about Being in two places at the same time: A future for hybrid learning based on student preferences.

Automated Sensor Node Malicious Activity Detection with Explainability Analysis (2024)
Journal Article
Zubair, M., Janicke, H., Mohsin, A., Maglaras, L., & Sarker, I. H. (2024). Automated Sensor Node Malicious Activity Detection with Explainability Analysis. Sensors, 24(12), Article 3712. https://doi.org/10.3390/s24123712

Cybersecurity has become a major concern in the modern world due to our heavy reliance on cyber systems. Advanced automated systems utilize many sensors for intelligent decision-making, and any malicious activity of these sensors could potentially le... Read More about Automated Sensor Node Malicious Activity Detection with Explainability Analysis.

View from the (Virtual) Terraces: Football Fandom in Videogames (2024)
Presentation / Conference Contribution
Donald, I., & Reid, A. (2024, September). View from the (Virtual) Terraces: Football Fandom in Videogames. Presented at Video Game Cultures, Birmingham City University

Other is a concept that is fundamental to sports: the other team, other player(s), other fans. Football fans share a camaraderie and can enthuse a tribalism (Mangan, 1996) that is difficult to understand and replicate in the virtual world. Yet, that... Read More about View from the (Virtual) Terraces: Football Fandom in Videogames.

Image Encryption Using Dynamic Salt Injection, Hybrid Chaotic Maps, and Dual Operation Substitution (2024)
Presentation / Conference Contribution
Khattak, A. A., Babaagba, K., Liu, X., & Shah, S. A. (2024, August). Image Encryption Using Dynamic Salt Injection, Hybrid Chaotic Maps, and Dual Operation Substitution. Presented at The 2024 International Conference on Automation and Computing (ICAC 2024), Sunderland, UK

In today's digital world, securing the multimedia data, especially images transmitted over unsecure networks, is critically important. In this paper, a novel chaos-based image encryption algorithm is proposed, which utilises dynamic salt injection, h... Read More about Image Encryption Using Dynamic Salt Injection, Hybrid Chaotic Maps, and Dual Operation Substitution.

Attaining Ambidexterity in Construction Organisations through Digitalisation (2024)
Book Chapter
Aghimien, D., Montalvo, L. Z., Osunsanmi, T., Aigbavboa, C., & Taki, A. (2024). Attaining Ambidexterity in Construction Organisations through Digitalisation. In T. Omotayo, O. Ogunmakinde, T. Egbelakin, & A. Sojobi (Eds.), Innovations, Disruptions and Future Trends in the Global Construction Industry (215-232). Routledge. https://doi.org/10.1201/9781003372233-19

In an ever-changing construction environment shaped by pervasive digital technologies, the role of digitalisation in ensuring effective exploitation and exploration (ambidexterity) of available opportunities cannot be overlooked. Leveraging digital t... Read More about Attaining Ambidexterity in Construction Organisations through Digitalisation.

Deploying Bottleneck Management Strategies for Ameliorating Critical Delays in Building Construction Projects: A Case for Developing Country of Iran (2024)
Journal Article
Karimi, H., Sarvari, H., Edwards, D. J., Chan, D. W. M., & Olawumi, T. O. (2024). Deploying Bottleneck Management Strategies for Ameliorating Critical Delays in Building Construction Projects: A Case for Developing Country of Iran. Systems, 12(6), 195. https://doi.org/10.3390/systems12060195

One of the primary concerns and challenges encountered in the construction industry is the emergence of crucial factors instigating project delays throughout the construction project lifecycle (CPL). The critical delay factors (CDFs) are the signific... Read More about Deploying Bottleneck Management Strategies for Ameliorating Critical Delays in Building Construction Projects: A Case for Developing Country of Iran.

ESO-Based Antisaturation Motion Control for Cable-Driven Continuum Robots (2024)
Journal Article
Zhang, K., Liu, Y., Huo, B., Wu, Z., Yang, L., & Yu, H. (online). ESO-Based Antisaturation Motion Control for Cable-Driven Continuum Robots. IEEE/ASME Transactions on Mechatronics, https://doi.org/10.1109/tmech.2024.3402369

High precision motion control is the key to complete the refined operation tasks for cable-driven continuum robots. However, the existence of model inaccuracy and actuator saturation pose great challenges to the high precision motion control of cable... Read More about ESO-Based Antisaturation Motion Control for Cable-Driven Continuum Robots.

Scottish Mountain Soundscapes (2024)
Presentation / Conference Contribution
Di Donato, B., & McGregor, I. (2024, June). Scottish Mountain Soundscapes. Presented at Invited seminar at UniMont, University of Milan, Edolo, Italy

Mountain environments provide an immersive auditory experience shaped by natural forces and human interactions. This seminar presents results from an ongoing project that delves into people’s experiences of mountain soundscapes, with a focus on the i... Read More about Scottish Mountain Soundscapes.

Automated Human-Readable Label Generation in Open Intent Discovery (2024)
Presentation / Conference Contribution
Anderson, G., Hart, E., Gkatzia, D., & Beaver, I. (2024, September). Automated Human-Readable Label Generation in Open Intent Discovery. Presented at Interspeech 2024, Kos, Greece

The correct determination of user intent is key in dialog systems. However, an intent classifier often requires a large, labelled training dataset to identify a set of known intents. The creation of such a dataset is a complex and time-consuming task... Read More about Automated Human-Readable Label Generation in Open Intent Discovery.

Integrating Reality: A Hybrid SDN Testbed for Enhanced Realism in Edge Computing Simulations (2024)
Presentation / Conference Contribution
Almaini, A., Koßmann, T., Folz, J., Schramm, M., Heigl, M., & Al-Dubai, A. (2024, June). Integrating Reality: A Hybrid SDN Testbed for Enhanced Realism in Edge Computing Simulations. Presented at UNet24: The International Conference on Ubiquitous Networking, Marrakesh, Morocco

Recent advancements in Software-Defined Networking (SDN) have facilitated its deployment across diverse network types, including edge networks. Given the broad applicability of SDN and the complexity of large-scale environments, establishing a compre... Read More about Integrating Reality: A Hybrid SDN Testbed for Enhanced Realism in Edge Computing Simulations.

Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances (2024)
Presentation / Conference Contribution
Hart, E., Sim, K., & Renau, Q. (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.

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. Paper 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.

Assessing the Performance of Ethereum and Hyperledger Fabric Under DDoS Attacks for Cyber-Physical Systems (2024)
Presentation / Conference Contribution
Jayadev, V., Moradpoor, N., & Petrovski, A. (2024, July). Assessing the Performance of Ethereum and Hyperledger Fabric Under DDoS Attacks for Cyber-Physical Systems. Paper presented at 19th International Conference on Availability, Reliability and Security (ARES 2024), Vienna, Austria

Blockchain technology offers a decentralized and secure platform for addressing various challenges in smart cities and cyber-physical systems, including identity management, trust and transparency, and supply chain management. However, blockchains ar... Read More about Assessing the Performance of Ethereum and Hyperledger Fabric Under DDoS Attacks for Cyber-Physical Systems.