Ruptured-Disk 发表于 2025-3-23 10:17:33
http://reply.papertrans.cn/27/2632/263129/263129_11.pngGRUEL 发表于 2025-3-23 14:12:13
http://reply.papertrans.cn/27/2632/263129/263129_12.png干旱 发表于 2025-3-23 19:56:27
http://reply.papertrans.cn/27/2632/263129/263129_13.pnghauteur 发表于 2025-3-24 00:21:24
Vijayaraj Nagarajan,Mohamed O. Elasrit make it difficult to discern damage from environmental and operational (E&O) variability. Therefore, an improved process for identifying features that are sensitive to damage while insensitive to E&O effects is needed. In this study a SHM approach that utilizes causality metrics is proposed. The aMast-Cell 发表于 2025-3-24 05:25:32
Sk Mohiuddin,Samir Malakar,Ram Sarkary resources to prepare a large volume of the ground truth of a dataset labeled at the pixel level. Hybrid crack segmentation (Kang et al., Autom Constr 118:103291, 2020) is based on the integration of a faster region-based convolutional neural network (faster R-CNN) as the deep learning-based object向外供接触 发表于 2025-3-24 10:11:57
https://doi.org/10.1007/978-3-030-75529-4d dynamics technology for structural health monitoring is being explored in order to optimize cost and improve performance. However, current imagers capture both the dynamic and static portions of a scene when only the dynamic portion is needed. The capture of both static and dynamic portions of a s盟军 发表于 2025-3-24 14:35:09
Sk Mohiuddin,Samir Malakar,Ram Sarkarat are not captured by the mathematical model assumed. These models are often reduced order models (ROM) that have simplified physics or have been obtained through data-driven techniques, such as trained neural networks. In this paper, we evaluate two data assimilation techniques to perform parameteMorsel 发表于 2025-3-24 16:51:47
http://reply.papertrans.cn/27/2632/263129/263129_18.png滔滔不绝的人 发表于 2025-3-24 21:19:27
http://reply.papertrans.cn/27/2632/263129/263129_19.pngoutput 发表于 2025-3-24 23:09:37
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