Robotics & Machine Learning Daily News2024,Issue(Jul.11) :29-30.

Investigators from Texas A&M University Zero in on Machine Learning (Applying Explainable Machine Learning Techniques In Daily Crash Occurrence and Severity Modeling for Rural Interstates)

Robotics & Machine Learning Daily News2024,Issue(Jul.11) :29-30.

Investigators from Texas A&M University Zero in on Machine Learning (Applying Explainable Machine Learning Techniques In Daily Crash Occurrence and Severity Modeling for Rural Interstates)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting out ofCollege Station, Texas, by NewsRx editors, research stated, “Conventional traffic crash analysis methodsoften us e highly aggregated data, making it difficult to understand the effects of time- varying factors oncrash occurrence. Although studies have used data with small aggregation intervals, they typically analyzethe effect of a single factor on c rash occurrence.”

Key words

College Station/Texas/United States/N orth and Central America/Cyborgs/Emerging Technologies/Machine Learning/Texa s A&M University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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