All Outputs (10888)

Where the Really Hard Quadratic Assignment Problems Are: the QAP-SAT instances (2024)
Presentation / Conference Contribution
Verel, S., Thomson, S. L., & Rifki, O. (2024, April). Where the Really Hard Quadratic Assignment Problems Are: the QAP-SAT instances. Presented at EvoCOP 2024

The Quadratic Assignment Problem (QAP) is one of the major domains in the field of evolutionary computation, and more widely in combinatorial optimization. This paper studies the phase transition of the QAP, which can be described as a dramatic chang... Read More about Where the Really Hard Quadratic Assignment Problems Are: the QAP-SAT instances.

Digital Twins: Towards an Overarching Framework for the Built Environment (2024)
Journal Article
Bagireanu, A., Bros-Williamson, J., Duncheva, M., & Currie, J. (2024). Digital Twins: Towards an Overarching Framework for the Built Environment. Architectural and Environmental Engineering, 18(1), 1-11

Digital Twins (DTs) have entered the built environment from more established industries like aviation and manufacturing, although there has never been a common goal for utilising DTs at scale. Their assimilation into the built environment lacked its... Read More about Digital Twins: Towards an Overarching Framework for the Built Environment.

How Much do Robots Understand Rudeness? Challenges in Human-Robot Interaction (2024)
Presentation / Conference Contribution
Orme, M., Yu, Y., & Tan, Z. (2024, May). How Much do Robots Understand Rudeness? Challenges in Human-Robot Interaction. Presented at The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italy

This paper concerns the pressing need to understand and manage inappropriate language within the evolving human-robot interaction (HRI) landscape. As intelligent systems and robots transition from controlled laboratory settings to everyday households... Read More about How Much do Robots Understand Rudeness? Challenges in Human-Robot Interaction.

Privacy-Aware Single-Nucleotide Polymorphisms (SNPs) Using Bilinear Group Accumulators in Batch Mode (2024)
Presentation / Conference Contribution
Buchanan, W., Grierson, S., & Uribe, D. (2024, February). Privacy-Aware Single-Nucleotide Polymorphisms (SNPs) Using Bilinear Group Accumulators in Batch Mode. Presented at 10th International Conference on Information Systems Security and Privacy, Rome, Italy

Biometric data is often highly sensitive, and a leak of this data can lead to serious privacy breaches. Some of the most sensitive of this type of data relates to the usage of DNA data on individuals. A leak of this type of data without consent could... Read More about Privacy-Aware Single-Nucleotide Polymorphisms (SNPs) Using Bilinear Group Accumulators in Batch Mode.

Eco-friendly 3D Printing Mortar with Low Cement Content: Investigation on Printability and Mechanical Properties (2024)
Journal Article
Sukontasukkul, P., Komkham, S., Jamnam, S., Zhang, H., Fujikake, K., Puttiwongrak, A., & Hansapinyo, C. (2024). Eco-friendly 3D Printing Mortar with Low Cement Content: Investigation on Printability and Mechanical Properties. Civil Engineering Journal, 10(3), https://doi.org/10.28991/CEJ-2024-010-03-010

The conventional approach to achieving optimal printability and buildability in 3D printing mortar relies heavily on cement, which is both costly and environmentally detrimental due to substantial carbon emissions from its production. This study aims... Read More about Eco-friendly 3D Printing Mortar with Low Cement Content: Investigation on Printability and Mechanical Properties.

Library catalogue’s search interface: Making the most of subject metadata (2024)
Journal Article
Gnoli, C., Golub, K., Haynes, D., Salaba, A., Shiri, A., & Slavic, A. (2024). Library catalogue’s search interface: Making the most of subject metadata. Knowledge Organization, 51, 169-186. https://doi.org/10.5771/0943-7444-2024-3-169

This article addresses the underutilization of knowledge organization systems (KOS) elements in online library catalogues, hindering effective subject-based search and discovery. It highlights the International Society for Knowledge Organization's in... Read More about Library catalogue’s search interface: Making the most of subject metadata.

Improved Double Deep Q Network-Based Task Scheduling Algorithm in Edge Computing for Makespan Optimization (2024)
Journal Article
Zeng, L., Liu, Q., Shen, S., & Liu, X. (2024). Improved Double Deep Q Network-Based Task Scheduling Algorithm in Edge Computing for Makespan Optimization. Tsinghua Science and Technology, 29(3), 806 - 817. https://doi.org/10.26599/TST.2023.9010058

Edge computing nodes undertake more and more tasks as business density grows. How to efficiently allocate large-scale and dynamic workloads to edge computing resources has become a critical challenge. An edge task scheduling approach based on an impr... Read More about Improved Double Deep Q Network-Based Task Scheduling Algorithm in Edge Computing for Makespan Optimization.

Flanges' Impact on Persian Historical Masonry Walls: Modeling Safety Factors (2024)
Journal Article
Ghamari, M., Karimi, M. S., Lourenço, P. B., & Sousa, H. S. (2024). Flanges' Impact on Persian Historical Masonry Walls: Modeling Safety Factors. International Journal of Engineering: Basics, Applications and Aspects, 37(6), 1136-1145. https://doi.org/10.5829/ije.2024.37.06c.10

This comprehensive study investigates the nuanced impact of flanges, height-to-length aspect ratios, wall thickness, and pre-compression levels on Persian historical masonry walls under uncertainty conditions. Numerical testing of 100 masonry wall sp... Read More about Flanges' Impact on Persian Historical Masonry Walls: Modeling Safety Factors.

Smarter Facility Layout Design: Leveraging Worker Localisation Data to Minimise Travel Time and Alleviate Congestion (2024)
Journal Article
Aslan, A., Vasantha, G., El-Raoui, H., Quigley, J., Hanson, J., Corney, J., & Sherlock, A. (in press). Smarter Facility Layout Design: Leveraging Worker Localisation Data to Minimise Travel Time and Alleviate Congestion. International Journal of Production Research,

This paper introduces a novel methodology leveraging worker localisation data from ultrawide-band sensors to formulate alternative facility layouts aimed at minimising travel time and congestion in labour-intensive manufacturing systems. The system p... Read More about Smarter Facility Layout Design: Leveraging Worker Localisation Data to Minimise Travel Time and Alleviate Congestion.

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. (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.

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.

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.

Computer-aided diagnosis of Alzheimer’s disease and neurocognitive disorders with multimodal coupled Bi-Vision Transformer (BiViT) (2024)
Journal Article
Hassan Shah, S. M. A., Ullah Jan, S., Qasim Khan, M., Rizwan, A., Abdel Samee, N., & Jamjoom, M. M. (in press). Computer-aided diagnosis of Alzheimer’s disease and neurocognitive disorders with multimodal coupled Bi-Vision Transformer (BiViT). Pattern Analysis and Applications, https://doi.org/10.1007/s10044-024-01297-6

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.