Evaluation of machine learning in recognizing images of reinforced concrete damage
Evaluation of machine learning in recognizing images of reinforced concrete damage
About this item
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Publisher
New York: Springer US
Journal title
Language
English
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Publication information
Publisher
New York: Springer US
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Scope and Contents
Contents
Damage to reinforced concrete (RC) facilities occurs through the process of natural deterioration. Machine learning can be employed to effectively identify various damage areas and ensure safety. The performance of machine vision methods depends on image quality. In this study, five image types (Types I–V) with combinations of image deficiencies pe...
Alternative Titles
Full title
Evaluation of machine learning in recognizing images of reinforced concrete damage
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Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2840671742
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2840671742
Other Identifiers
ISSN
1380-7501
E-ISSN
1573-7721
DOI
10.1007/s11042-023-14911-2
