Zheng Tong

TL;DR: In this article, the feasibility of the use of steel slag as the aggregate of asphalt mixtures for microwave deicing, and ascertain the most effective volume and particle sizes for partial replacement of conventional aggregate.

TL;DR: The results of this study suggest that the convolutional neural networks could be accurately used for the recognition, location, and 3D reconstruction of concealed cracks in asphalt pavement in real-world applications.

TL;DR: The result indicates that the training strategy including two processes overcomes the lack of crack labelled images and improves the accuracy of the network, combining with quadrature encoding and stochastic gradient descent.

TL;DR: Compared with Sobel edge detection and K-value clustering analysis, the CNN-based method obtained more robust performance at subgrade defect detection under various conditions using raw images, and it can classify subgrade defects in realistic situations.

TL;DR: This paper reviews methods involving deep leaning and GPR for civil engineering inspection and provides a classification based on the data types that they exploit, concluding that methods using A-scan data slightly surpass the models using B- and C-scanData, though C-Scan data is maybe the most promising in the further thanks to its complete space information.