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Outputs (4329)

Region Based Anomaly Detection With Real-Time Training and Analysis (2019)
Presentation / Conference Contribution
Adey, P., Bordewich, M., Breckon, T., & Hamilton, O. (2019, December). Region Based Anomaly Detection With Real-Time Training and Analysis. Presented at 18th IEEE International Conference on Machine Learning and Applications (ICMLA 2019), Boca Raton, Florida, USA

We present a method of anomaly detection that is capable of real-time operation on a live stream of images. The real-time performance applies to the training of the algorithm as well as subsequent analysis, and is achieved by substituting the region... Read More about Region Based Anomaly Detection With Real-Time Training and Analysis.

Measuring Regional Wave Speed using a Low Cost Portable Device (2019)
Presentation / Conference Contribution
Loza, M., Khir, A. W., & Sanchez, A. (2019, December). Measuring Regional Wave Speed using a Low Cost Portable Device. Presented at 2019 IEEE CHILEAN CONFERENCE ON ELECTRICAL, ELECTRONICS ENGINEERING, INFORMATION AND COMMUNICATION TECHNOLOGIES (CHILECON) IEEE Consejo Cono Sur; IEEE Consejo Chile; Chilean Assoc Automat Control; IEEE Chilean Chapter ontrol Syst; IEEE Chilean Chapter SMC, 345 E 47TH ST, NEW YORK, NY 10017 USA

A review of factors affecting undrained strength of fine-grained soils at consistency limits. (2019)
Presentation / Conference Contribution
Nagaraj, H., & Muguda, S. (2019, December). A review of factors affecting undrained strength of fine-grained soils at consistency limits. Presented at The XVII European Conference on Soil Mechanics and Geotechnical Engineering, Reykjavik Iceland

Estimation of remoulded undrained shear strength of fine-grained soils over a wide range of water content encountered in civil engineering practice is very essential for geotechnical design. Engineers predict the strength through simple index propert... Read More about A review of factors affecting undrained strength of fine-grained soils at consistency limits..

On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery (2019)
Presentation / Conference Contribution
Bhowmik, N., Gaus, Y., Akcay, S., Barker, J., & Breckon, T. (2019, December). On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery. Presented at 18th IEEE International Conference on Machine Learning and Applications (ICMLA 2019), Boca Raton, Florida, USA

X-ray security screening is in widespread use to maintain transportation security against a wide range of potential threat profiles. Of particular interest is the recent focus on the use of automated screening approaches, including the potential anom... Read More about On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery.

A review of the current automotive manufacturing practice from an energy perspective (2019)
Journal Article
Giampieri, A., Ling-Chin, J., Ma, Z., Smallbone, A., & Roskilly, A. (2020). A review of the current automotive manufacturing practice from an energy perspective. Applied Energy, 261, Article 114074. https://doi.org/10.1016/j.apenergy.2019.114074

The automotive industry is facing on-going challenges to improve the sustainability of its manufacturing processes and vehicle emissions due to economic, environmental, marketability and policy concerns. This review aims to evaluate steps that could... Read More about A review of the current automotive manufacturing practice from an energy perspective.