CSDeep: A crushed stone image predictor based on deep learning and intelligently selected features
© 2017 IEEE. In civil construction industry, different types of crushed stone are used as aggregate materials. As the prices of crushed stone depend on their types, the automated system that can examine their type is needed to avoid human mistakes. This study aims to propose a novel method for class...
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| Main Authors: | , |
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| Format: | Conference Proceeding |
| Published: |
2018
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| Subjects: | |
| Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85049425519&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58515 |
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| Institution: | Chiang Mai University |