史前
发表于 2025-3-23 11:34:11
Closing Remarks and Our Vision,s. Last, although it is a bold move, the authors provide a vision for a long-term future, wherein intelligent maintenance and management might have become a small fraction of our connected societies enabled by general artificial intelligence and other relevant technologies.
宏伟
发表于 2025-3-23 14:40:46
Gang Wu,ZhiQiang Chen,Ji Dangegel gemeint ist, so wird man feststellen, dass „Klinische Ethik“ weniger einen derjenigen Teilbereiche der Ethik bezeichnet, die gemeinhin „Angewandte Ethik“ genannt wird, als vielmehr eine Praxis: die Praxis der Lösung ethischer Konflikte in klinischen Entscheidungssituationen. Genau dies aber ruf
神刊
发表于 2025-3-23 19:58:08
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SEED
发表于 2025-3-23 22:38:57
Introduction,nance and management. By discussing that the systematic goal of conducting bridge maintenance and management is to achieve lifecycle system goals, such as sustainability and resilience, we recognize the challenges pertinent to the state of the practice. To resolve these challenges, digital technolog
宇宙你
发表于 2025-3-24 05:30:47
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kyphoplasty
发表于 2025-3-24 09:22:08
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水槽
发表于 2025-3-24 11:47:20
Bridge Inspection Automation,nual approach of inspecting the bridge appearance, i.e., the apparent bridge defects are measured and documented manually. Such manual inspection largely depends on the environment and on the technical skills of the inspectors, which is inefficient, time-consuming and costly; and the results may not
多产子
发表于 2025-3-24 17:14:55
Big Data Enabled Computing,ement and analysis. Big data is usually generated in the process of bridge operation and maintenance. Therefore, the storage, processing and utilization of big data is an important research topic in the field of intelligent bridge operation and maintenance. This chapter introduces the basic concept
积习已深
发表于 2025-3-24 19:56:48
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发酵剂
发表于 2025-3-25 02:31:43
Computer Vision for Bridge Inspection and Monitoring,1980s and become the most fruitful computer-science aided field in Civil Engineering. The approach, termed either computer-vision or machine-vision method, starts with the use of digital cameras or other imaging devices, then an image analysis or understanding algorithm is adopted to detect, classif