首页|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?)
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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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.”
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