Inveterate 发表于 2025-3-25 05:41:01
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Concrete Surface Crack Segmentation Based on Deep Learning real crack images. Then, the trained models can extract crack features and yield a mask (i.e. probability map). The cracks are identified and segmented in images from the predicted mask. Finally, the pixel-wise result is processed to determine the geometric properties of cracks such as lengths andCholecystokinin 发表于 2025-3-26 00:13:15
Deep-Learning-Based Bridge Condition Assessment by Probability Density Distribution Reconstruction oand generative adversarial networks (GANs). Both the PDFs of GVD and CT are used as inputs. Then, the proposed UNIT model is updated by solving the mini-max problem of training GANs, in which VAEs act as generative models. Finally, the Wasserstein distance between the predicted and ground-truth PDFs走调 发表于 2025-3-26 07:04:01
Summary of Current Practice in Vibration Monitoring of Utility Tunnels and Shafts in the UK-2, and CIRIA TN142, build up a systematic assessment approach, and present real monitoring data collected from construction sites. These monitoring data are normally enormous and recorded in real time, hence opened the opportunities for artificial intelligence data transmission and alert notificatiMORPH 发表于 2025-3-26 11:17:02
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Deep Learning Based Identification of Elastic Properties Using Ultrasonic Guided Wavesefficient of determination, and mean absolute error. It is seen that the networks can learn the inverse mapping and generalize well to unseen examples even in the presence of noise at various levels. This novel methodology can eliminate disadvantages associated with existing global optimization tech猜忌 发表于 2025-3-26 19:09:43
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