All Outputs (282)

Arabic text classification based on analogical proportions (2024)
Journal Article
Bounhas, M., Elayeb, B., Chouigui, A., Hussain, A., & Cambria, E. (online). Arabic text classification based on analogical proportions. Expert Systems, https://doi.org/10.1111/exsy.13609

Text classification is the process of labelling a given set of text documents with predefined classes or categories. Existing Arabic text classifiers are either applying classic Machine Learning algorithms such as k-NN and SVM or using modern deep le... Read More about Arabic text classification based on analogical proportions.

Chaotic Quantum Encryption to Secure Image Data in Post Quantum Consumer Technology (2024)
Journal Article
Khan, M. S., Ahmad, J., Al-Dubai, A., Pitropakis, N., Ghaleb, B., Ullah, A., Khan, M. A., & Buchanan, W. J. (online). Chaotic Quantum Encryption to Secure Image Data in Post Quantum Consumer Technology. IEEE Transactions on Consumer Electronics, https://doi.org/10.1109/tce.2024.3415411

The rapid advancement in consumer technology has led to an exponential increase in the connected devices, resulting in an enormous and continuous flow of data, particularly the image data. This data needs to be processed, managed, and secured efficie... Read More about Chaotic Quantum Encryption to Secure Image Data in Post Quantum Consumer Technology.

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.

APOLLO: A Proximity-Oriented, Low-Layer Orchestration Algorithm for Resources Optimization in Mist Computing (2024)
Journal Article
Babaghayou, M., Chaib, N., Maglaras, L., Yigit, Y., Amine Ferrag, M., Marsh, C., & Moradpoor, N. (online). APOLLO: A Proximity-Oriented, Low-Layer Orchestration Algorithm for Resources Optimization in Mist Computing. Wireless Networks, https://doi.org/10.1007/s11276-024-03791-5

The fusion of satellite technologies with the Internet of Things (IoT) has propelled the evolution of mobile computing, ushering in novel communication paradigms and data management strategies. Within this landscape, the efficient management of compu... Read More about APOLLO: A Proximity-Oriented, Low-Layer Orchestration Algorithm for Resources Optimization in Mist Computing.

Probabilistic inference of material quantities and embodied carbon in building structures (2024)
Journal Article
D’Amico, B., & Arehart, J. H. (2024). Probabilistic inference of material quantities and embodied carbon in building structures. Journal of Building Engineering, 94, Article 109891. https://doi.org/10.1016/j.jobe.2024.109891

In an effort to minimise the carbon footprint of building structures, a range of prediction tools and methods have been recently proposed, so to enable design practitioners evaluating how their design choices ultimately affect the carbon embodied in... Read More about Probabilistic inference of material quantities and embodied carbon in building structures.

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.

Tuning the Structure–Property Relationships in Binary and Ternary Blends of PLA/PBAT/PHBH (2024)
Journal Article
Nofar, M., Salehiyan, R., & Barletta, M. (2024). Tuning the Structure–Property Relationships in Binary and Ternary Blends of PLA/PBAT/PHBH. Polymers, 16(12), Article 1699. https://doi.org/10.3390/polym16121699

While the brittle polylactide (PLA) has a high durability among bioplastics, poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) (PHBH) with certain ductility exhibits facile compostability. The addition of polybutylene adipate terephthalate (PBAT) may als... Read More about Tuning the Structure–Property Relationships in Binary and Ternary Blends of PLA/PBAT/PHBH.

Persistency and stability of a class of nonlinear forced positive discrete-time systems with delays (2024)
Journal Article
Franco, D., Guiver, C., Logemann, H., & Perán, J. (2024). Persistency and stability of a class of nonlinear forced positive discrete-time systems with delays. Physica D: Nonlinear Phenomena, 467, Article 134260. https://doi.org/10.1016/j.physd.2024.134260

Persistence, excitability and stability properties are considered for a class of nonlinear, forced, positive discrete-time systems with delays. As will be illustrated, these equations arise in a number of biological and ecological contexts. Novel suf... Read More about Persistency and stability of a class of nonlinear forced positive discrete-time systems with delays.

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.

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.

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.

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.

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.

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.

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.

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.