Crack Identification Approach for Concrete Structures Using Unmanned Inspection Equipment and Deep Learning
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jung, Hyung-Jo | ko |
| dc.contributor.author | Kim, In-Ho | ko |
| dc.date.accessioned | 2018-12-20T02:02:20Z | - |
| dc.date.available | 2018-12-20T02:02:20Z | - |
| dc.date.created | 2018-11-29 | - |
| dc.date.issued | 2018-10-16 | - |
| dc.identifier.citation | The International Conference on Digital Image Correlation and Noncontact Experimental Mechanics | - |
| dc.identifier.uri | http://hdl.handle.net/10203/247320 | - |
| dc.language | English | - |
| dc.publisher | Zhejiang University, IDICS & SEM | - |
| dc.title | Crack Identification Approach for Concrete Structures Using Unmanned Inspection Equipment and Deep Learning | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | The International Conference on Digital Image Correlation and Noncontact Experimental Mechanics | - |
| dc.identifier.conferencecountry | CC | - |
| dc.identifier.conferencelocation | Lakeview hotel Hangzhou | - |
| dc.contributor.localauthor | Jung, Hyung-Jo | - |
| dc.contributor.nonIdAuthor | Kim, In-Ho | - |
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