Robotics & Machine Learning Daily News2024,Issue(Aug.21) :28-28.

Zhejiang University of Technology Reports Findings in Machine Learning (Machine learning-based corrosion rate prediction of steel embedded in soil)

Robotics & Machine Learning Daily News2024,Issue(Aug.21) :28-28.

Zhejiang University of Technology Reports Findings in Machine Learning (Machine learning-based corrosion rate prediction of steel embedded in soil)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting originating in Hangzhou, Peop le’s Republic of China, by NewsRx journalists, research stated,“Predicting the corrosion rate for soil-buried steel is significant for assessing the service-li fe performance ofstructures in soil environments. However, due to the large amo unt of variables involved, existing corrosionprediction models have limited acc uracy for complex soil environment.”

Key words

Hangzhou/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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