Robotics & Machine Learning Daily News2024,Issue(Dec.31) :98-99.

Hexi University Reports Findings in Machine Learning (Machine learning-motivated trace triethylamine identification by bismuth vanadate/tungsten oxide heterostr uctures)

Robotics & Machine Learning Daily News2024,Issue(Dec.31) :98-99.

Hexi University Reports Findings in Machine Learning (Machine learning-motivated trace triethylamine identification by bismuth vanadate/tungsten oxide heterostr uctures)

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Abstract

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.”

Key words

Zhangye/People’s Republic of China/Asi a/Anions/Cyborgs/Emerging Technologies/Machine Learning/Transition Elements/Tungsten/Vanadates/Vanadium Compounds

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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