Crack recognition automation in concrete bridges using Deep Convolutional Neural Networks
Using Unmanned Aerial Systems (UASs) for bridge visual inspection automation necessitates the implementation of Deep Convolutional Neural Networks (DCNNs) to process efficiently the large amount of data collected by the UASs sensors. However, these networks require massive training datasets for the...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN FR |
| Publié: |
EDP Sciences
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/b3f39a0efa384d68b2a628e82011f632 |
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