Robotics & Machine Learning Daily News2024,Issue(Apr.22) :6-7.

Findings from Aarhus University Yields New Data on Machine Learning (Quantificat ion of Aluminium Trihydrate Flame Retardant In Polyolefins Via In-line Hyperspec tral Imaging and Machine Learning for Safe Sorting)

Robotics & Machine Learning Daily News2024,Issue(Apr.22) :6-7.

Findings from Aarhus University Yields New Data on Machine Learning (Quantificat ion of Aluminium Trihydrate Flame Retardant In Polyolefins Via In-line Hyperspec tral Imaging and Machine Learning for Safe Sorting)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingout of Aarhus, Denmark, by NewsRx ed itors, research stated, “The extensive use of aluminium trihydrate(ATH) flame r etardant in plastics poses challenges and hazards in plastic waste recycling, th us it is crucialto accurately identify ATH. This study demonstrates the effecti veness of an industrial in-line shortwaveinfrared (SWIR) hyperspectral imaging system and principal component analysis (PCA) for detecting andquantifying ATH in low-density polyethylene (LDPE) and polypropylene (PP).”

Key words

Aarhus/Denmark/Europe/Cyborgs/Emergi ng Technologies/Flame Retardants/Machine Learning/Aarhus University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文