扬州大学教师个人主页服务平台 CLK--Home-- Convolutional neural networks (CNNs)-based multi-category damage detection and recognition of high-speed rail (HSR) reinforced concrete (RC) bridges using test images

陈令坤副高级

陈令坤博士入选2024国家级人才计划→ 入选2022年“安徽省领军人才项目” → 是爱丁堡大学大数据和数据中心与摩根斯坦利公司联合资助Research Fellow /研究科学家（2019.09 ~ 至今）→ 加州大学洛杉矶分校（UCLA）土木环境系客座副教授（2019.02 ~ 2021.08）→ 西南交通大学博士后（2016.01 ~ 2018.12）→ 纽约州立大学Buffalo分校土木结构及环境工程系（MCEER实验室）访问学者（2015.01 ~ 2016.01）→ 北京交通大学博士后（...Detials

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Convolutional neural networks (CNNs)-based multi-category damage detection and recognition of high-speed rail (HSR) reinforced concrete (RC) bridges using test images

Release time:2023-12-18 Hits:

Affiliation of Author(s):建筑科学与工程学院
Journal:ENGINEERING STRUCTURES
Co-author:陈雯昕,王璐,翟晨程,胡晓伦,孙林林,田园,黄晓明
First Author:CLK
Indexed by:Unit Twenty Basic Research
Correspondence Author:陈令坤
Volume:276
ISSN No.:0141-0296
Translation or Not:no
Date of Publication:2023-01-01

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