Publications and projects according to DDC
Publications
Publications and projects according to DDC 500: Natural sciences and mathematics
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Krummen, Jan; Nölke, Lena; Monstein, Raphael,
2023.
Aircraft wake vortices affecting airport wind measurements [paper].
In:
11th Opensky Symposium, Toulouse, France, 30-31 October 2023.
TU Delft Open Publishing.
Available from: https://doi.org/10.59490/joas.2023.7212
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Fernandes Costa, Daniel,
2023.
Erstellen von 3D-Umgebungsmodellen aus Drohnenaufnahmen.
Winterthur:
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-29329
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Tao, Yaguang; Both, Alan; Silveira, Rodrigo I.; Buchin, Kevin; Sijben, Stef; Purves, Ross S.; Laube, Patrick; Peng, Dongliang; Toohey, Kevin; Duckham, Matt,
2021.
A comparative analysis of trajectory similarity measures.
GIScience & Remote Sensing.
58(5), pp. 643-669.
Available from: https://doi.org/10.1080/15481603.2021.1908927
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Albert, Carlo; Ferriz-Mas, Antonio; Gaia, Filippo; Ulzega, Simone,
2021.
Can stochastic resonance explain recurrence of Grand Minima?.
The Astrophysical Journal Letters.
916(2), pp. L9.
Available from: https://doi.org/10.3847/2041-8213/ac0fd6
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Fuchs, Hans U.; Corni, Federico; Dumont, Elisabeth,
2021.
Narrativity in complex systems
.
In:
Zeyer, Albert; Kyburz-Graber, Regula, eds.,
Science | Environment | Health : Towards a Science Pedagogy of Complex Living Systems.
Cham:
Springer.
pp. 31-50.
Contributions from Science Education Research ; 10.
Available from: https://doi.org/10.1007/978-3-030-75297-2_3
Projects
Projects according to DDC 500: Natural sciences and mathematics
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Automated visual inspection of a life-supporting blood pump
The aim of this Innovation Booster project is to select suitable sensor technologies and measurement methods, test their technical feasibility and determine critical parameters.
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Critical Phenomena in Financial Markets and Social Networks
The goal of the project is to develop an alternative model of financial markets in terms of social networks of investors, and to explore its applications to risk management, asset management, and financial market stability.
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AI for colorectal cancer: towards the improved CMS classification and interpretability
Access to large complex biomedical data today allows scientists to take full advantage of AI-driven approaches in a variety of applications with high societal impact. One such application is precision medicine, which is gradually becoming reality for some cancers. Unfortunately, for colorectal cancer (CRC) ...
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Designing and simulating resilient supply chain networks: ensuring mission critical supplies in disruption with ripple effect
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DISTRAL: Industrial Process Monitoring for Injection Molding with Distributed Transfer Learning
We develop a distributed machine learning system to sort out defect plastic parts during production. Main challenge is the transferability of learnt process know-how from case to case; the solution builds on domain adaptation, continual data-centric deep learning and federated edge computing. ...