Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yang, Jiesheng"'
Construction progress monitoring (CPM) is essential for effective project management, ensuring on-time and on-budget delivery. Traditional CPM methods often rely on manual inspection and reporting, which are time-consuming and prone to errors. This p
Externí odkaz:
http://arxiv.org/abs/2305.15097
Semantic segmentation profits from deep learning and has shown its possibilities in handling the graphical data from the on-site inspection. As a result, visual damage in the facade images should be detected. Attention mechanism and generative advers
Externí odkaz:
http://arxiv.org/abs/2209.13283
To improve the efficiency and reduce the labour cost of the renovation process, this study presents a lightweight Convolutional Neural Network (CNN)-based architecture to extract crack-like features, such as cracks and joints. Moreover, Transfer Lear
Externí odkaz:
http://arxiv.org/abs/2105.10892
Structures suffer from the emergence of cracks, therefore, crack detection is always an issue with much concern in structural health monitoring. Along with the rapid progress of deep learning technology, image semantic segmentation, an active researc
Externí odkaz:
http://arxiv.org/abs/2104.14586
Autor:
Chen, Shaobin, Chen, Yuping, Yang, Jiesheng, Yang, Weiping, Weng, Hongrui, Li, Hua, Liu, Ditian
Publikováno v:
In Journal of Thoracic Oncology August 2011 6(8):1426-1431
