Robotics & Machine Learning Daily News2024,Issue(Mar.20) :54-55.

Researchers from Beijing Institute of Technology Report Details of New Studies a nd Findings in the Area of Machine Learning (A Review of Icing Prediction Techni ques for Four Typical Surfaces In Low-temperature Natural Environments)

Robotics & Machine Learning Daily News2024,Issue(Mar.20) :54-55.

Researchers from Beijing Institute of Technology Report Details of New Studies a nd Findings in the Area of Machine Learning (A Review of Icing Prediction Techni ques for Four Typical Surfaces In Low-temperature Natural Environments)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting from Beijing, People’s Republic of China , by NewsRx journalists, research stated, “As a common phenomenon in nature and industrial fields, icing always adversely affects life, and plays negative effec ts. Although series of anti-/de-icing techniques are widely investigated, icing prediction techniques on surfaces under low-temperature natural environment are more important due to effectively reduce or even prevent icing caused harms.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Beijing Institute of Techno logy

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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