Holistic image‐based analysis of damage on concrete surfaces—A multifaceted approach based on supervised machine learning
Autor(en): |
Barıs Özcan
(Geodetic Institute and Chair for Computing in Civil Engineering and Geo Information Systems, RWTH Aachen University Aachen Germany)
David Crampen (Geodetic Institute and Chair for Computing in Civil Engineering and Geo Information Systems, RWTH Aachen University Aachen Germany) Zeno Kratzer (Geodetic Institute and Chair for Computing in Civil Engineering and Geo Information Systems, RWTH Aachen University Aachen Germany) Jörg Blankenbach (Geodetic Institute and Chair for Computing in Civil Engineering and Geo Information Systems, RWTH Aachen University Aachen Germany) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Structural Concrete, Oktober 2024, n. 5, v. 25 |
Seite(n): | 3121-3144 |
DOI: | 10.1002/suco.202300626 |
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Datenseite - Reference-ID
10776537 - Veröffentlicht am:
29.04.2024 - Geändert am:
10.11.2024