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Deep Crack: Image-Based Crack Detection by Nhon Nguyen is a document available to read on EtoBox.

The document presents Deep Crack, a deep learning model utilizing MobileNet and transfer learning for effective image-based crack prediction in infrastructure. It details the methodology, including data preparation, model architecture, and evaluation metrics, demonstrating high accuracy, precision, and recall in distinguishing between cracked and intact structures. The research highlights the potential applications of deep learning in enhancing public safety and infrastructure maintenance.

Author
Nhon Nguyen
Language
EN