All Outputs (2039)

The Design and Engineering of a Fall and Near-Fall Detection Electronic Textile (2023)
Journal Article
Rahemtulla, Z., Turner, A., Oliveira, C., Kaner, J., Dias, T., & Hughes-Riley, T. (2023). The Design and Engineering of a Fall and Near-Fall Detection Electronic Textile. Materials, 16(5), Article 1920. https://doi.org/10.3390/ma16051920

Falls can be detrimental to the quality of life of older people, and therefore the ability to detect falls is beneficial, especially if the person is living alone and has injured themselves. In addition, detecting near falls (when a person is imbalan... Read More about The Design and Engineering of a Fall and Near-Fall Detection Electronic Textile.

An improved ensemble particle swarm optimizer using niching behavior and covariance matrix adapted retreat phase (2023)
Journal Article
Hong, L., Yu, X., Wang, B., Woodward, J., & Özcan, E. (2023). An improved ensemble particle swarm optimizer using niching behavior and covariance matrix adapted retreat phase. Swarm and Evolutionary Computation, 78, Article 101278. https://doi.org/10.1016/j.swevo.2023.101278

Over the past two decades, to overcome the limitations of certain algorithms, ensemble strategies or self-adaptive mechanisms for evolutionary computation algorithms have been proposed. Regardless of how these strategies or mechanisms were designed,... Read More about An improved ensemble particle swarm optimizer using niching behavior and covariance matrix adapted retreat phase.

ChatGPT and the rise of generative AI: Threat to academic integrity? (2023)
Journal Article
Eke, D. O. (2023). ChatGPT and the rise of generative AI: Threat to academic integrity?. Journal of Responsible Technology, 13, Article 100060. https://doi.org/10.1016/j.jrt.2023.100060

The emergence of OpenAI's ChatGPT has put intense spotlight on Generative AI (Gen-AI) systems and their possible impacts on Academic integrity. This paper provides an overview of the current arguments around ChatGPT and Academic integrity and conclud... Read More about ChatGPT and the rise of generative AI: Threat to academic integrity?.

Should Type Theory Replace Set Theory as the Foundation of Mathematics? (2023)
Journal Article
Altenkirch, T. (2023). Should Type Theory Replace Set Theory as the Foundation of Mathematics?. Global Philosophy, 33(1), Article 21. https://doi.org/10.1007/s10516-023-09676-0

Mathematicians often consider Zermelo-Fraenkel Set Theory with Choice (ZFC) as the only foundation of Mathematics, and frequently don’t actually want to think much about foundations. We argue here that modern Type Theory, i.e. Homotopy Type Theory (H... Read More about Should Type Theory Replace Set Theory as the Foundation of Mathematics?.

Enhanced Starting Control Scheme for PMM-Based Starter/Generator System for MEA (2023)
Journal Article
Mohamed, M. A. A., Shen Yeoh, S., Atkin, J., Diab, A. M., Khalaf, M., & Bozhko, S. (2023). Enhanced Starting Control Scheme for PMM-Based Starter/Generator System for MEA. Aerospace, 10(2), Article 168. https://doi.org/10.3390/aerospace10020168

A control approach for aircraft Starter/Generator (S/G) with Permanent Magnet Machine (PMM) operating in Flux Weakening (FW) mode is presented. The proposed strategy helps the previous approaches which are adopted for the Variable Voltage Bus (VVB) o... Read More about Enhanced Starting Control Scheme for PMM-Based Starter/Generator System for MEA.

Oceanic Eddy Identification Using Pyramid Split Attention U-Net With Remote Sensing Imagery (2023)
Journal Article
Zhao, N., Huang, B., Yang, J., Radenkovic, M., & Chen, G. (2023). Oceanic Eddy Identification Using Pyramid Split Attention U-Net With Remote Sensing Imagery. IEEE Geoscience and Remote Sensing Letters, 20, Article 1500605. https://doi.org/10.1109/lgrs.2023.3243902

Oceanic eddy is the ubiquitous ocean flow phenomenon, which has been the key factor in the transportation of ocean energy and materials. Consequently, oceanographic understanding can be enhanced by the intelligent identification of eddy. State-of-the... Read More about Oceanic Eddy Identification Using Pyramid Split Attention U-Net With Remote Sensing Imagery.

A Rewriting Coherence Theorem with Applications in Homotopy Type Theory (2023)
Journal Article
Kraus, N. (2023). A Rewriting Coherence Theorem with Applications in Homotopy Type Theory. Mathematical Structures in Computer Science, 32(7), 982-1014. https://doi.org/10.1017/S0960129523000026

Higher-dimensional rewriting systems are tools to analyse the structure of formally reducing terms to normal forms, as well as comparing the different reduction paths that lead to those normal forms. This higher structure can be captured by finding a... Read More about A Rewriting Coherence Theorem with Applications in Homotopy Type Theory.

Reflexive governance architectures: Considering the ethical implications of autonomous technology adoption in food supply chains (2023)
Journal Article
Manning, L., Brewer, S., Craigon, P. J., Frey, J., Gutierrez, A., Jacobs, N., …Pearson, S. (2023). Reflexive governance architectures: Considering the ethical implications of autonomous technology adoption in food supply chains. Trends in Food Science and Technology, 133, 114-126. https://doi.org/10.1016/j.tifs.2023.01.015

Background: The application of autonomous technology in food supply chains gives rise to a number of ethical considerations associated with the interaction between human and technology, human-technology-plant and human-technology-animal. These consid... Read More about Reflexive governance architectures: Considering the ethical implications of autonomous technology adoption in food supply chains.

Models of Representation in Computational Intelligence [Guest Editorial] (2023)
Journal Article
Nobile, M. S., Manzoni, L., Ashlock, D. A., & Qu, R. (2023). Models of Representation in Computational Intelligence [Guest Editorial]. IEEE Computational Intelligence Magazine, 18(1), 20-21. https://doi.org/10.1109/MCI.2022.3223482

Computational Intelligence (CI) provides a set of powerful tools to effectively tackle complex computational tasks: global optimization methods (e.g., evolutionary computation, swarm intelligence), machine learning (e.g., neural networks), fuzzy reas... Read More about Models of Representation in Computational Intelligence [Guest Editorial].

A generality analysis of multiobjective hyper-heuristics (2023)
Journal Article
Li, W., Özcan, E., Drake, J. H., & Maashi, M. (2023). A generality analysis of multiobjective hyper-heuristics. Information Sciences, 627, 34-51. https://doi.org/10.1016/j.ins.2023.01.047

Selection hyper-heuristics have emerged as high level general-purpose search methodologies that mix and control a set of low-level (meta) heuristics. Previous empirical studies over a range of single objective optimisation problems have shown that th... Read More about A generality analysis of multiobjective hyper-heuristics.

Innate immune cell instruction using micron-scale 3D objects of varied architecture and polymer chemistry: The ChemoArchiChip (2023)
Journal Article
Vassey, M., Ma, L., Kämmerling, L., Mbadugha, C., Trindade, G. F., Figueredo, G. P., …Alexander, M. R. (2023). Innate immune cell instruction using micron-scale 3D objects of varied architecture and polymer chemistry: The ChemoArchiChip. Matter, 6(3), 887-906. https://doi.org/10.1016/j.matt.2023.01.002

To design effective immunomodulatory implants, innate immune cell interactions at the surface of biomaterials need to be controlled and understood. The architectural design freedom of two-photon polymerization is used to produce arrays of surface-mou... Read More about Innate immune cell instruction using micron-scale 3D objects of varied architecture and polymer chemistry: The ChemoArchiChip.

"More Than a cliché": Experiencing Hybrid Gifting in the Wild (2023)
Journal Article
Spence, J., Koleva, B., Benford, S., Darzentas, D., Flintham, M., Glover, K., …Thorn, E. C. (2023). "More Than a cliché": Experiencing Hybrid Gifting in the Wild. ACM Transactions on Computer-Human Interaction, 30(4), Article 55. https://doi.org/10.1145/3577015

Gifting is socially and economically important. Studies of gifting physical objects have revealed motivations, values, and the tensions between them, while HCI research has revealed weaknesses of digital gifting and explored possibilities of hybrid g... Read More about "More Than a cliché": Experiencing Hybrid Gifting in the Wild.

Stacking sequence optimisation of an aircraft wing skin (2023)
Journal Article
Ntourmas, G., Glock, F., Deinert, S., Daoud, F., Schuhmacher, G., Chronopoulos, D., …Ninić, J. (2023). Stacking sequence optimisation of an aircraft wing skin. Structural and Multidisciplinary Optimization, 66(2), Article 31. https://doi.org/10.1007/s00158-022-03483-8

This paper demonstrates a stacking sequence optimisation process of a composite aircraft wing skin. A two-stage approach is employed to satisfy all sizing requirements of this industrial sized, medium altitude, long endurance drone. In the first stag... Read More about Stacking sequence optimisation of an aircraft wing skin.

Deep Learning with Attention Mechanisms for Road Weather Detection (2023)
Journal Article
Samo, M., Mafeni Mase, J. M., & Figueredo, G. (2023). Deep Learning with Attention Mechanisms for Road Weather Detection. Sensors, 23(2), Article 798. https://doi.org/10.3390/s23020798

There is great interest in automatically detecting road weather and understanding its impacts on the overall safety of the transport network. This can, for example, support road condition-based maintenance or even serve as detection systems that assi... Read More about Deep Learning with Attention Mechanisms for Road Weather Detection.

Towards Handling Uncertainty-at-Source in AI – A Review and Next Steps for Interval Regression (2023)
Journal Article
Kabir, S., Wagner, C., & Ellerby, Z. (2023). Towards Handling Uncertainty-at-Source in AI – A Review and Next Steps for Interval Regression. IEEE Transactions on Artificial Intelligence, 5(1), 3-22. https://doi.org/10.1109/TAI.2023.3234930

Most of statistics and AI draw insights through modelling discord or variance between sources (i.e., inter-source) of information. Increasingly however, research is focusing on uncertainty arising at the level of individual measurements (i.e., within... Read More about Towards Handling Uncertainty-at-Source in AI – A Review and Next Steps for Interval Regression.

Young People’s Trust in Cocreated Web-Based Resources to Promote Mental Health Literacy: Focus Group Study (2023)
Journal Article
Ito-Jaeger, S., Perez Vallejos, E., Logathasan, S., Curran, T., & Crawford, P. (2023). Young People’s Trust in Cocreated Web-Based Resources to Promote Mental Health Literacy: Focus Group Study. JMIR Mental Health, 10, Article e38346. https://doi.org/10.2196/38346

Background:
There is a pressing need to create resources to promote mental health literacy among young people. Digital media is one of the methods that can be used to successfully promote mental health literacy. Although digital mental health resour... Read More about Young People’s Trust in Cocreated Web-Based Resources to Promote Mental Health Literacy: Focus Group Study.

Innovation vs Practicality vs Entertainment (2023)
Journal Article
Mevel, P.-A., Robinson, J., & Tennent, P. (2023). Innovation vs Practicality vs Entertainment. inTRAlinea: Online Translation Journal, Special issue: Inclusive theatre-making: translation, accessibility and beyond, Article 2595

This article examines the use of inclusive technological solutions to promote accessibility on stage. Specifically, it concentrates on the way technological solutions are developed and integrated into a show’s design both in terms of the immersion an... Read More about Innovation vs Practicality vs Entertainment.

AI Policy as a Response to AI Ethics? Addressing Ethical Issues in the Development of AI Policies in North Africa (2023)
Book Chapter
Stahl, B. C., Leach, T., Oyeniji, O., & Ogoh, G. (2023). AI Policy as a Response to AI Ethics? Addressing Ethical Issues in the Development of AI Policies in North Africa. In D. Okaibedi Eke, K. Wakunuma, & S. Akintoye (Eds.), . Palgrave Macmillan. https://doi.org/10.1007/978-3-031-08215-3_7

The recent exponential rate of AI development has led to a proliferation of AI national policies and strategies as global power blocs have sought to consolidate positions of strategic dominance. These policies have sought to promote the benefits and... Read More about AI Policy as a Response to AI Ethics? Addressing Ethical Issues in the Development of AI Policies in North Africa.

Towards Shaping the Future of Responsible AI in Africa (2023)
Book Chapter
Eke, D. O., Chintu, S. S., & Wakunuma, K. (2023). Towards Shaping the Future of Responsible AI in Africa. In D. O. Eke, K. Wakunuma, & S. Akintoye (Eds.), Responsible AI in Africa: Challenges and Opportunities (169-193). Springer. https://doi.org/10.1007/978-3-031-08215-3_8

Artificial Intelligence (AI) presents unprecedented opportunities for Africa. Increasingly, AI and other emerging technologies are being deployed in African contexts—healthcare, agriculture, sociopolitical processes, businesses and education—in ways... Read More about Towards Shaping the Future of Responsible AI in Africa.

The ethical and legal landscape of brain data governance (2022)
Journal Article
Ochang, P., Stahl, B. C., & Eke, D. (2022). The ethical and legal landscape of brain data governance. PLoS ONE, 17(12), Article e0273473. https://doi.org/10.1371/journal.pone.0273473

Neuroscience research is producing big brain data which informs both advancements in neuroscience research and drives the development of advanced datasets to provide advanced medical solutions. These brain data are produced under different jurisdicti... Read More about The ethical and legal landscape of brain data governance.