Outputs (75)

The Effect of Light Intensity, Sensor Height, and Spectral Pre-Processing Methods When Using NIR Spectroscopy to Identify Different Allergen-Containing Powdered Foods (2019)
Journal Article
Rady, A., Fischer, J., Reeves, S., Logan, B., & James Watson, N. (2020). The Effect of Light Intensity, Sensor Height, and Spectral Pre-Processing Methods When Using NIR Spectroscopy to Identify Different Allergen-Containing Powdered Foods. Sensors, 20(1), Article 230. https://doi.org/10.3390/s20010230

Food allergens present a significant health risk to the human population, so their presence must be monitored and controlled within food production environments. This is especially important for powdered food, which can contain nearly all known food... Read More about The Effect of Light Intensity, Sensor Height, and Spectral Pre-Processing Methods When Using NIR Spectroscopy to Identify Different Allergen-Containing Powdered Foods.

The impact of algorithmic decision-making processes on young people’s well-being (Preprint) (2019)
Preprint / Working Paper
Perez Vallejos, E., Dowthwaite, L., Creswich, H., Portillo, V., Koene, A., Jirotka, M., …McAuley, D. The impact of algorithmic decision-making processes on young people’s well-being (Preprint)

Background:
Algorithms rule the online environments and are essential for performing data processing, filtering, personalisation and other tasks. Research has shown that children and young people make up a significant proportion of Internet users, h... Read More about The impact of algorithmic decision-making processes on young people’s well-being (Preprint).

Horizon Response To DCMS Call For Evidence: Cyber Security Incentives and Regulation (2019)
Other
McAuley, D., & Chen, J. Horizon Response To DCMS Call For Evidence: Cyber Security Incentives and Regulation

Conceptual modelling: Towards detecting modelling errors in engineering applications (2019)
Journal Article
Gürlebeck, K., Legatiuk, D., Nilsson, H., & Smarsly, K. (2020). Conceptual modelling: Towards detecting modelling errors in engineering applications. Mathematical Methods in the Applied Sciences, 43(3), 1243-1252. https://doi.org/10.1002/mma.5934

Rapid advancements of modern technologies put high demands on mathematical modelling of engineering systems. Typically, systems are no longer “simple” objects, but rather coupled systems involving multiphysics phenomena, the modelling of which involv... Read More about Conceptual modelling: Towards detecting modelling errors in engineering applications.

A hybrid combinatorial approach to a two-stage stochastic portfolio optimization model with uncertain asset prices (2019)
Journal Article
Cui, T., Bai, R., Ding, S., Parkes, A. J., Qu, R., He, F., & Li, J. (2020). A hybrid combinatorial approach to a two-stage stochastic portfolio optimization model with uncertain asset prices. Soft Computing, 24, 2809–2831. https://doi.org/10.1007/s00500-019-04517-y

© 2019, Springer-Verlag GmbH Germany, part of Springer Nature. Portfolio optimization is one of the most important problems in the finance field. The traditional Markowitz mean-variance model is often unrealistic since it relies on the perfect market... Read More about A hybrid combinatorial approach to a two-stage stochastic portfolio optimization model with uncertain asset prices.

End-of-life vehicle management: a comprehensive review (2019)
Journal Article
Karagoz, S., Aydin, N., & Simic, V. (2020). End-of-life vehicle management: a comprehensive review. Journal of Material Cycles and Waste Management, 22, 416–442. https://doi.org/10.1007/s10163-019-00945-y

Waste management is gaining very high importance in recent years. As automotive is one of the most critical sectors worldwide, which is rapidly increasing, the management of end-of-life vehicles (ELVs) gains importance day by day. Due to legislation... Read More about End-of-life vehicle management: a comprehensive review.

Naive Type Theory (2019)
Book Chapter
Altenkirch, T. (2019). Naive Type Theory. In S. Centrone, D. Kant, & D. Sarikaya (Eds.), Reflections on the Foundations of Mathematics: Univalent Foundations, Set Theory and General Thoughts (101-136). Springer

We introduce Type Theory, including Homotopy Type Theory, as an alternative to set theory as a foundation of Mathematics emphasising the intuitive and naive understanding of its concepts.

RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures (2019)
Journal Article
Yasrab, R., Atkinson, J. A., Wells, D. M., French, A. P., Pridmore, T. P., & Pound, M. P. (2019). RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures. GigaScience, 8(11), Article giz123. https://doi.org/10.1093/gigascience/giz123

BACKGROUND: In recent years quantitative analysis of root growth has become increasingly important as a way to explore the influence of abiotic stress such as high temperature and drought on a plant's ability to take up water and nutrients. Segmentat... Read More about RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures.

Editorial of the special issue on differential evolution (2019)
Journal Article
Brest, J., & Neri, F. (2019). Editorial of the special issue on differential evolution. Swarm and Evolutionary Computation, 50, Article 100583. https://doi.org/10.1016/j.swevo.2019.100583

Differential Evolution (DE) is a population-based metaheuristic for addressing optimization problems [[1], [2], [3]]. The algorithm processes a population of candidate solutions by performing two operations. The first operation, namely mutation, is t... Read More about Editorial of the special issue on differential evolution.

Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation (2019)
Book Chapter
Hou, X., Liu, J., Xu, B., Liu, B., Chen, X., Garibaldi, J., …Qiu, G. (2019). Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation. In Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part II (101-109). Springer Verlag. https://doi.org/10.1007/978-3-030-32245-8_12

Supervised semantic segmentation normally assumes the test data being in a similar data domain as the training data. However, in practice, the domain mismatch between the training and unseen data could lead to a significant performance drop. Obtainin... Read More about Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation.