Crack Detection of Masonry Structure Based on Infrared and Visible Image Fusion and Deep Learning (Englisch)
- Neue Suche nach: Lu, Y. M.
- Neue Suche nach: Huang, H.
- Neue Suche nach: Zhang, C.
- Neue Suche nach: Papadikis, Konstantinos
- Weitere Informationen zu Papadikis, Konstantinos:
- https://orcid.org/https://orcid.org/0000-0002-8619-8390
- Neue Suche nach: Zhang, Cheng
- Weitere Informationen zu Zhang, Cheng:
- https://orcid.org/https://orcid.org/0000-0003-2465-1767
- Neue Suche nach: Tang, Shu
- Weitere Informationen zu Tang, Shu:
- https://orcid.org/https://orcid.org/0000-0002-9796-2737
- Neue Suche nach: Liu, Engui
- Weitere Informationen zu Liu, Engui:
- https://orcid.org/https://orcid.org/0000-0003-2402-1271
- Neue Suche nach: Di Sarno, Luigi
- Weitere Informationen zu Di Sarno, Luigi:
- https://orcid.org/https://orcid.org/0000-0001-6244-3251
- Neue Suche nach: Lu, Y. M.
- Neue Suche nach: Huang, H.
- Neue Suche nach: Zhang, C.
In:
Towards a Carbon Neutral Future
: The Proceedings of The 3rd International Conference on Sustainable Buildings and Structures
;
Kapitel: 25
;
275-284
;
2024
- Aufsatz/Kapitel (Buch) / Elektronische Ressource
-
Titel:Crack Detection of Masonry Structure Based on Infrared and Visible Image Fusion and Deep Learning
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Weitere Titelangaben:Lecture Notes in Civil Engineering
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Beteiligte:Papadikis, Konstantinos ( Herausgeber:in ) / Zhang, Cheng ( Herausgeber:in ) / Tang, Shu ( Herausgeber:in ) / Liu, Engui ( Herausgeber:in ) / Di Sarno, Luigi ( Herausgeber:in ) / Lu, Y. M. ( Autor:in ) / Huang, H. ( Autor:in ) / Zhang, C. ( Autor:in )
-
Kongress:INTERNATIONAL CONFERENCE ON SUSTAINABLE BUILDINGS AND STRUCTURES TOWARDS A CARBON NEUTRAL FUTURE ; 2023 ; Suzhou, China
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Erschienen in:Towards a Carbon Neutral Future : The Proceedings of The 3rd International Conference on Sustainable Buildings and Structures ; Kapitel: 25 ; 275-284Lecture Notes in Civil Engineering ; 393 ; 275-284
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Verlag:
- Neue Suche nach: Springer Nature Singapore
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Erscheinungsort:Singapore
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Erscheinungsdatum:23.03.2024
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Format / Umfang:10 pages
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ISBN:
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ISSN:
-
DOI:
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Medientyp:Aufsatz/Kapitel (Buch)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:
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Datenquelle:
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