Robotics & Machine Learning Daily News2024,Issue(Oct.31) :127-127.

Study Results from Hebei University of Technology in the Area of Fatigue Reporte d (A Cream Model Optimization Method Based On Fatigue Testing Experiments and Ma chine Learning Techniques for Maritime Transportation Applications)

Robotics & Machine Learning Daily News2024,Issue(Oct.31) :127-127.

Study Results from Hebei University of Technology in the Area of Fatigue Reporte d (A Cream Model Optimization Method Based On Fatigue Testing Experiments and Ma chine Learning Techniques for Maritime Transportation Applications)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Current study results on Fatigue have been published. According to news originatingfrom Tianjin, People's Republic of China, by NewsRx correspondents, research stated, "Maritime transportationhas a crucial position in world trade, but maritime transportation accidents still o ccur frequently.To assess human errors in maritime transportation more accurate ly by CREAM and thus improve the reliabilityof maritime transportation, the stu dy is the first to obtain the quantitative effects of differentantifatigue capa bility groups on task performance in the field of maritime transportation by com biningfatigue test experiments with machine learning."Funders for this research include National Natural Science Foundation of China ( NSFC), NaturalScience Foundation of Hebei Province.

Key words

Tianjin/People's Republic of China/Asi a/Cyborgs/Emerging Technologies/Fatigue/Health and Medicine/Machine Learnin g/Hebei University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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