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Title:Identification of the damage types for reinforced concrete using CNN models
Authors:ID Shi, Yue (Author)
ID Wang, RunYu (Author)
ID Bai, Xue (Author)
Files:.pdf PDF - Presentation file, download (333,39 KB)
MD5: 517907F4F106F8468E7A9AF93D7B5BC5
 
URL URL - Source URL, visit https://mater-tehnol.si/index.php/MatTech/article/view/1438
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo IMT - Institute of Metals and Technology
Keywords:convolutional neural network, reinforced concrete, damage detection, image recognition, structural health monitoring, deep learning
Publication status:Published
Publication version:Version of Record
Publication date:19.08.2025
Publisher:Inštitut za kovinske materiale in tehnologije
Year of publishing:2025
Number of pages:str. 631–638
Numbering:Let. 59, št. 4
Source:Materiali in tehnologije
PID:20.500.12556/DiRROS-23444 New window
UDC:625.821.5:004.414.23
ISSN on article:1580-2949
DOI:10.17222/mit.2025.1438 New window
COBISS.SI-ID:247213571 New window
Copyright:© 2025 The Author(s)
Publication date in DiRROS:01.09.2025
Views:393
Downloads:173
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Record is a part of a journal

Title:Materiali in tehnologije
Shortened title:Mater. tehnol.
Publisher:Inštitut za kovinske materiale in tehnologije
ISSN:1580-2949
COBISS.SI-ID:106193664 New window

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License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Title:Določitev vrste poškodb armiranega betona z uporabo CNN modelov
Keywords:konvolucijske nevronske mreže, armirani beton, zaznavanje poškodb, slikovno prepoznavanje, spremljanje in ocena "zdravja" konstrukcij, globoko strojno učenje


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  1. Materiali in tehnologije

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