首页|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 ...)
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 ...)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.”
ShenyangPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningNortheastern University
NETL
NSTL
