Robotics & Machine Learning Daily News2024,Issue(Jul.23) :64-64.

Researchers’ Work from Van Lang University Focuses on Machine Learning (Machine Learning-based Shapley Additive Explanations Approach for Corroded Pipeline Fail ure Mode Identification)

Robotics & Machine Learning Daily News2024,Issue(Jul.23) :64-64.

Researchers’ Work from Van Lang University Focuses on Machine Learning (Machine Learning-based Shapley Additive Explanations Approach for Corroded Pipeline Fail ure Mode Identification)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Machine Learning. According to news reportingoriginating in Ho Chi Minh City, V ietnam, by NewsRx journalists, research stated, “Rapid failure modeidentificati on of oil and gas pipelines can prevent catastrophic consequences, improve fast interventionand enhance the design safety of these critical systems. This paper proposes explainable-based machinelearning models using to determine the failu re mode of corroded pipelines as a function of geometricconfigurations, materia l properties, and corrosion defect details.”

Key words

Ho Chi Minh City/Vietnam/Asia/Cyborgs/Emerging Technologies/Machine Learning/Van Lang 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