Robotics & Machine Learning Daily News2024,Issue(Sep.19) :15-16.

Beijing University of Technology Reports Findings in Machine Learning (Reliable assessment and prediction of moderate preoxidation of sodium hypochlorite for al gae-laden water treatment)

Robotics & Machine Learning Daily News2024,Issue(Sep.19) :15-16.

Beijing University of Technology Reports Findings in Machine Learning (Reliable assessment and prediction of moderate preoxidation of sodium hypochlorite for al gae-laden water treatment)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “Chemical moderate preoxida tion for algae-laden water is an economical and prospective strategy for control ling algae and exogenous pollutants, whereas it is constrained by a lack of effe ctive on-line evaluation and quickresponse feedback method. Herein, excitation- emission matrix parallel factor analysis (EEM-PARAFAC) was used to identify cyan obacteria fluorophores after preoxidation of sodium hypochlorite (NaClO) at Exci tation/Emission wavelength of 260(360)/450 nm, based on which the algal cell int egrity and intracellular organic matter (IOM) release were quantitatively assess ed.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Hypochlorous Acid/Machine Learning/Reactive Oxygen Species/Sodium Compounds/Sodium Hypochlorite

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