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Timber And Wood-based products (2024)
Book Chapter
D'Amico, B. (2024). Timber And Wood-based products. In F. Fu, & D. Richardson (Eds.), Structural Design of Buildings: Elemental Design (77-119). ICE Publishing. https://doi.org/10.1680/sdb.95735.077

Timber has been used as a structural material for many centuries and a renewed interest in (and calls for) a greater use in construction is now observed. This has been mostly the result of an increasingly wider body of literature claiming the superio... Read More about Timber And Wood-based products.

A Generative Design Approach for the Dynamic Optimisation of Multi-MW Offshore Direct-Drive Wind Turbine Electrical Generator Supporting Structures Using Modal Analysis (2024)
Journal Article
Gonzalez-Delgado, D., Jaen-Sola, P., & Oterkus, E. (2024). A Generative Design Approach for the Dynamic Optimisation of Multi-MW Offshore Direct-Drive Wind Turbine Electrical Generator Supporting Structures Using Modal Analysis. Wind, 4(2), 172-189. https://doi.org/10.3390/wind4020009

Generative design techniques together with the rapid development of additive manufacturing represent a revolution in the field of structural optimisation processes. In this study, a static structural and modal analysis was integrated to drive a multi... Read More about A Generative Design Approach for the Dynamic Optimisation of Multi-MW Offshore Direct-Drive Wind Turbine Electrical Generator Supporting Structures Using Modal Analysis.

Res-BiLSTMs model based on multi-task attention for real-time measurement of the free calcium oxide content (2024)
Journal Article
Zhao, Y., Wang, Y., Zhang, S., Wang, X., & Yu, H. (2024). Res-BiLSTMs model based on multi-task attention for real-time measurement of the free calcium oxide content. Measurement Science and Technology, 35(9), Article 095107. https://doi.org/10.1088/1361-6501/ad5612

The content of free calcium oxide (f-CaO) is the primary economic index to evaluate the quality of cement. A residual bidirectional long short-term memory network model (Res-BiLSTMs) based on a multi-task attention mechanism was proposed for the char... Read More about Res-BiLSTMs model based on multi-task attention for real-time measurement of the free calcium oxide content.

Challenges and Strategies for Achieving High Energy Efficiency in Building Districts (2024)
Journal Article
Chen, X., Vand, B., & Baldi, S. (2024). Challenges and Strategies for Achieving High Energy Efficiency in Building Districts. Buildings, 14(6), Article 1839. https://doi.org/10.3390/buildings14061839

Achieving climate neutrality requires reducing energy consumption and CO2 emissions in the building sector, which has prompted increasing attention towards nearly zero energy, zero energy, and positive energy communities of buildings; there is a need... Read More about Challenges and Strategies for Achieving High Energy Efficiency in Building Districts.

Arabic text classification based on analogical proportions (2024)
Journal Article
Bounhas, M., Elayeb, B., Chouigui, A., Hussain, A., & Cambria, E. (2024). Arabic text classification based on analogical proportions. Expert Systems, 41(10), Article e13609. 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.

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.

Academic Staff AI Literacy Development Through LLM Prompt Training (2024)
Book Chapter
Drumm, L., & Sami, A. (in press). Academic Staff AI Literacy Development Through LLM Prompt Training. In Effective Practices in AI Literacy Education: Case Studies and Reflections (41-49). Emerald

A foundation in artificial intelligence (AI) literacy among all academic staff is essential for supporting students’ AI literacy effectively. As tools like ChatGPT increasingly influence academic work, educators need to understand prompt engineering... Read More about Academic Staff AI Literacy Development Through LLM Prompt Training.

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.

Thermodynamic of Phase Change Materials Based on Stearic Acid with Graphene Nanoplatelets (2024)
Presentation / Conference Contribution
Sanchez-Vicente, Y., Bismilla, A., Ismail, I., Soudari, R., Mohamed, M., Gonzalez, M. A., Tenorio, M.-J., D’Oliveira, E. J., & Costa, S. C. (2024, June). Thermodynamic of Phase Change Materials Based on Stearic Acid with Graphene Nanoplatelets. Presented at 33rd European Symposium on Applied Thermodynamics ESAT 2024, Edinburgh

Renewable energy sources must supply between 30 and 45 % of the global energy consumption to achieve "net zero" emissions. However, renewable sources, such as solar, are intermittent, so they must be combined with thermal energy storage (TES) to cont... Read More about Thermodynamic of Phase Change Materials Based on Stearic Acid with Graphene Nanoplatelets.

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.

Cyber-Twin: Digital Twin-Boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks (2024)
Presentation / Conference Contribution
Yigit, Y., Panitsas, I., Maglaras, L., Tassiulas, L., & Canberk, B. (2024, June). Cyber-Twin: Digital Twin-Boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks. Presented at ICC 2024 - IEEE International Conference on Communications, Denver, CO, USA

The rapid evolution of Vehicular Ad-hoc NETworks (VANETs) has ushered in a transformative era for intelligent transportation systems (ITS), significantly enhancing road safety and vehicular communication. However, the intricate and dynamic nature of... Read More about Cyber-Twin: Digital Twin-Boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks.

X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System (2024)
Presentation / Conference Contribution
Kaya, K., Ak, E., Bas, S., Canberk, B., & Gunduz Oguducu, S. (2024, June). X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System. Presented at ICC 2024 - IEEE International Conference on Communications, Denver, Colorado

The effectiveness of Intrusion Detection Systems (IDS) is critical in an era where cyber threats are becoming increasingly complex. Machine learning (ML) and deep learning (DL) models provide an efficient and accurate solution for identifying attacks... Read More about X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System.

Multi‐model deep learning system for screening human monkeypox using skin images (2024)
Journal Article
Gupta, K., Bajaj, V., Jain, D. K., & Hussain, A. (2024). Multi‐model deep learning system for screening human monkeypox using skin images. Expert Systems, 41(10), Article e13651. 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.