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, storm activity, and other hazards using graph-based clustering, fuzzy machine learning, and reduced-order models – delivering scientific insight into where and when rerouting is needed. Real-Time Decision
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and Applications 39, 1659–1666. https://doi.org/10.1002/rra.4145 [4145-Datei] Schwindt, Negreiros, Ponce, Schalko, Lassar, Barros, Haun 2023. Fuzzy-logic indicators for riverbed de-clogging suggest
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, basic applied econometrics skills, and interest in furthering these. Interest in Green Technologies and Green Energy. Experience with other social science methods (e. g. qualitative techniques, fuzzy sets
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