Robotics & Machine Learning Daily News2024,Issue(MAY.17) :26-26.

Study Results from Cerema Provide New Insights into Machine Learning (Managing R ockfall Hazard on Strategic Linear Stakes: How Can Machine Learning Help to Bett er Predict Periods of Increased Rockfall Activity?)

Robotics & Machine Learning Daily News2024,Issue(MAY.17) :26-26.

Study Results from Cerema Provide New Insights into Machine Learning (Managing R ockfall Hazard on Strategic Linear Stakes: How Can Machine Learning Help to Bett er Predict Periods of Increased Rockfall Activity?)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news originating from Bron, France, by NewsRx cor respondents, research stated, “When rockfalls hit and damage linear stakes such as roads or railways, the access to critical infrastructures (hospitals, schools , factories ...) might be disturbed or stopped. Rockfall risk management often i nvolves building protective structures that are traditionally based on the inten sive use of resources such as steel or concrete.”

Key words

Cerema/Bron/France/Europe/Cyborgs/E merging 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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