首页|Hexi University Reports Findings in Machine Learning (Machine learning-motivated trace triethylamine identification by bismuth vanadate/tungsten oxide heterostr uctures)
Hexi University Reports Findings in Machine Learning (Machine learning-motivated trace triethylamine identification by bismuth vanadate/tungsten oxide heterostr uctures)
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 DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of Zhangye, People’s Repu blic of China, by NewsRx editors, research stated, “Triethylamine,an extensivel y used material in industrial organic synthesis, is hazardous to the human respi ratory andnervous systems, but its accurate detection and prediction has been a long-standing challenge. Herein, amachine learning-motivated chemiresistive se nsor that can predict ppm-level triethylamine is designed.”
ZhangyePeople’s Republic of ChinaAsi aAnionsCyborgsEmerging TechnologiesMachine LearningTransition ElementsTungstenVanadatesVanadium Compounds