Outputs (10880)

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.

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.

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.2024.13426

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 Transacti

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.

A Novel Autonomous Adaptive Frame Size for Time-Slotted LoRa MAC Protocol (2024)
Journal Article
Alahmadi, H., Bouabdallah, F., Al-Dubai, A., & Ghaleb, B. (in press). A Novel Autonomous Adaptive Frame Size for Time-Slotted LoRa MAC Protocol. IEEE Transactions on Industrial Informatics,

LoRa networks represent a promising technology for IoT applications due to their long range, low cost, and energy efficiency. However, their ALOHA-based access method and duty cycle restrictions can limit their scalability and reliability in high-den... Read More about A Novel Autonomous Adaptive Frame Size for Time-Slotted LoRa MAC Protocol.

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.

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.