首页|Researchers’ Work from Van Lang University Focuses on Machine Learning (Machine Learning-based Shapley Additive Explanations Approach for Corroded Pipeline Fail ure Mode Identification)
Researchers’ Work from Van Lang University Focuses on Machine Learning (Machine Learning-based Shapley Additive Explanations Approach for Corroded Pipeline Fail ure Mode Identification)
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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.”
Ho Chi Minh CityVietnamAsiaCyborgsEmerging TechnologiesMachine LearningVan Lang University
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