Artificial Intelligence tools to predict the level of defectiveness of existing bridges
Author(s): |
Agnese Natali
Milind G. Padalkar Vincenzo Messina Walter Salvatore Pietro Morerio Alessio del Bue Carlos Beltrán-González |
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Medium: | journal article |
Language(s): | English |
Published in: | Procedia Structural Integrity, 2023, v. 44 |
Page(s): | 2020-2027 |
DOI: | 10.1016/j.prostr.2023.01.258 |
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data sheet - Reference-ID
10715096 - Published on:
21/03/2023 - Last updated on:
21/03/2023