Design and Optimization of CNN Architecture to Identify the Types of Damage Imagery
Design and Optimization of CNN Architecture to Identify the Types of Damage Imagery
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Damage to the surface construction of reinforced concrete (RC) will impact the security of the facility’s structure. Deep learning can effectively identify various types of damage, which is useful for taking protective measures to avoid further deterioration of the structure. Based on deep learning, the multi-convolutional neural network (MCNN) has...
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Design and Optimization of CNN Architecture to Identify the Types of Damage Imagery
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TN_cdi_doaj_primary_oai_doaj_org_article_84e38fbb9d664682892a498d55ded7be
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_84e38fbb9d664682892a498d55ded7be
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ISSN
2227-7390
E-ISSN
2227-7390
DOI
10.3390/math10193483
