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Evaluation Model for Crack Detection with Deep Learning: Improved Confusion Matrix Based on Linear Features
Publisher: American Society of Civil Engineers
Abstract: Damage due to cracking can be detected through either manual visual methods or machine vision techniques for early prevention and maintenance. In recent years, image-based deep learning methods have emerged as potent tools ...
Defect Risk Assessment Using a Hybrid Machine Learning Method
Publisher: ASCE
Abstract: Defects pose considerable risks to construction projects in terms of both cost and quality, and identifying defects thus is crucial to effective construction quality management. In this study, data for 45 cases were obtained ...