Robotics & Machine Learning Daily News2024,Issue(MAY.21) :101-101.

Studies from RWTH Aachen University Have Provided New Data on Machine Learning ( Holistic Image-based Analysis of Damage On Concrete Surfaces-a Multifaceted Appr oach Based On Supervised Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(MAY.21) :101-101.

Studies from RWTH Aachen University Have Provided New Data on Machine Learning ( Holistic Image-based Analysis of Damage On Concrete Surfaces-a Multifaceted Appr oach Based On Supervised Machine Learning)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating in Aachen, Germany, by N ewsRx journalists, research stated, “Traditional manual methods for inspecting d amage on building structures, such as cracks or spalling on concrete surfaces, a re laborious, costly, and error-prone. Despite many attempts to automate this ta sk using digital photographs, most studies primarily focus on detecting damage w ithin images, neglecting the actual dimensions and their implications for struct ural integrity.”

Key words

Aachen/Germany/Europe/Cyborgs/Emergi ng Technologies/Machine Learning/RWTH Aachen University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文