Outputs (86)

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, 1-19. 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.

Asymptotic Formulation for the Rayleigh Wave on a Nonlocally Elastic Half-Space (2023)
Journal Article
Prikazchikov, D. A. (2023). Asymptotic Formulation for the Rayleigh Wave on a Nonlocally Elastic Half-Space. Vibration, 6(1), 57-64. https://doi.org/10.3390/vibration6010005

This paper deals with the Rayleigh wave, propagating on a nonlocally elastic, linearly isotropic half-space, excited by a prescribed surface loading. The consideration develops the methodology of hyperbolic–elliptic models for Rayleigh and Rayleigh-t... Read More about Asymptotic Formulation for the Rayleigh Wave on a Nonlocally Elastic Half-Space.

Cellulose-Aerogele als multifunktionale und nachhaltige Alternativen für Flugzeugkabinenelemente (2023)
Presentation / Conference Contribution
Aney, S., Schestakow, M., Prikazchikova, L., Milow, B., Prikazchikov, D., Kaplunov, J., Voggenreiter, H., & Rege, A. Cellulose-Aerogele als multifunktionale und nachhaltige Alternativen für Flugzeugkabinenelemente. Presented at German Aerospace Congress 2022, Dresden, German Aerospace Society - Lilienthal-Oberth eV, Bonn, 202

German; Aufgrund steigender Anforderungen steht das Design von Flugzeugkabinen vor revolutionären Herausforderungen. Die Integration innovativer Konzepte und nachhaltiger Materialien bietet einen wichtigen Lösungsansatz. Entsprechend müssen die Entwi... Read More about Cellulose-Aerogele als multifunktionale und nachhaltige Alternativen für Flugzeugkabinenelemente.

Industrial Internet of Things Security Modelling using Ontological Methods (2023)
Presentation / Conference Contribution
Aslam Jarwar, M., Watson, J., Ani, U., & Chalmers, S. (2022, November). Industrial Internet of Things Security Modelling using Ontological Methods. Presented at IoT 2022: The 12th International Conference on the Internet of Things, Delft Netherlands

The Industrial Internet of Things (IIoT) trend presents many significant benefits for improving industrial operations. However, its emergence from the convergence of legacy Industrial Control Systems (ICS) and Information and Communication Technologi... Read More about Industrial Internet of Things Security Modelling using Ontological Methods.

Cloud Computing-Assisted Real-Time Health Monitoring and Tracking (2023)
Book Chapter
Al-Said Ahmad, A., & El-Emam, N. N. (2023). Cloud Computing-Assisted Real-Time Health Monitoring and Tracking. In Intelligent Internet of Things for Smart Healthcare Systems (101-112). Taylor & Francis (Routledge). https://doi.org/10.1201/9781003326182-7

Through the advent of cloud computing and its services, health real-time monitoring and tracking have become more accessible. Cloud computing delivers accurate medical information faster and more securely through several ready-to-use services. E-heal... Read More about Cloud Computing-Assisted Real-Time Health Monitoring and Tracking.

Deep Neural Network Based Attention Model for Structural Component Recognition (2023)
Presentation / Conference Contribution
Sarangi, S., & Mandal, B. (2023, February). Deep Neural Network Based Attention Model for Structural Component Recognition. Presented at 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP, Lisbon, Portugal

The recognition of structural components from images/videos is a highly complex task because of the appearance of huge components and their extended existence alongside, which are relatively small components. The latter is frequently overestimated or... Read More about Deep Neural Network Based Attention Model for Structural Component Recognition.