Robotics & Machine Learning Daily News2024,Issue(Nov.6) :157-158.

New Machine Learning Data Have Been Reported by Investigators at Northeastern Un iversity (Experimental Analysis of Combustion Characteristics of Corn Starch Dus t Clouds Under the Action of Unilateral Obstacles and Machine Learning Modeling ...)

Robotics & Machine Learning Daily News2024,Issue(Nov.6) :157-158.

New Machine Learning Data Have Been Reported by Investigators at Northeastern Un iversity (Experimental Analysis of Combustion Characteristics of Corn Starch Dus t Clouds Under the Action of Unilateral Obstacles and Machine Learning Modeling ...)

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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 originating from Shenyang, People’s Repu blic of China, by NewsRx correspondents, research stated, “Corn starch powder is highly flammable and explosive, presenting significant safety hazards of dust e xplosions when encountering obstacles during its production and processing.This study indicate that with an increase in the number of obstacles, obstacle block age ratio, and dust concentration, both the average flame spread velocity (AFSV) and the maximum flame spread velocity (MFSV) initially rise and then decline.”

Key words

Shenyang/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Northeastern University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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