封面图片，第 39 卷第 22 期

IF 8.5 1区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2024-11-04 DOI:10.1111/mice.13368

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引用次数: 0

摘要

封面图像基于文章《路面裂缝自动检测中去除运动模糊的生成式对抗网络方法》，作者：Yu Zhang 和 Lin Zhang，https://doi.org/10.1111/mice.13231。图片来源：Lin Zhang。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Cover Image, Volume 39, Issue 22

查看原文本刊更多论文

Cover Image, Volume 39, Issue 22

The cover image is based on the Article A generative adversarial network approach for removing motion blur in the automatic detection of pavement cracks by Yu Zhang and Lin Zhang, https://doi.org/10.1111/mice.13231. Image Credit: Lin Zhang.

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来源期刊

Computer-Aided Civil and Infrastructure Engineering 工程技术-工程：土木

CiteScore

17.60

自引率

19.80%

发文量

146

审稿时长

1 months

期刊介绍： Computer-Aided Civil and Infrastructure Engineering stands as a scholarly, peer-reviewed archival journal, serving as a vital link between advancements in computer technology and civil and infrastructure engineering. The journal serves as a distinctive platform for the publication of original articles, spotlighting novel computational techniques and inventive applications of computers. Specifically, it concentrates on recent progress in computer and information technologies, fostering the development and application of emerging computing paradigms. Encompassing a broad scope, the journal addresses bridge, construction, environmental, highway, geotechnical, structural, transportation, and water resources engineering. It extends its reach to the management of infrastructure systems, covering domains such as highways, bridges, pavements, airports, and utilities. The journal delves into areas like artificial intelligence, cognitive modeling, concurrent engineering, database management, distributed computing, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, internet-based technologies, knowledge discovery and engineering, machine learning, mobile computing, multimedia technologies, networking, neural network computing, optimization and search, parallel processing, robotics, smart structures, software engineering, virtual reality, and visualization techniques.