Robotics & Machine Learning Daily News2024,Issue(Jul.22) :67-68.

Southern Nevada Water Authority Reports Findings in Cyanobacteria (Classificatio n machine learning to detect de facto reuse and cyanobacteria at a drinking wate r intake)

Robotics & Machine Learning Daily News2024,Issue(Jul.22) :67-68.

Southern Nevada Water Authority Reports Findings in Cyanobacteria (Classificatio n machine learning to detect de facto reuse and cyanobacteria at a drinking wate r intake)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Gram-Negative Bacteria - Cyanobacteria is the subject of a report.According to news reporting origina ting from Henderson, Nevada, by NewsRx correspondents, researchstated, “Harmful algal blooms (HABs) or higher levels of de facto water reuse (DFR) can increase the levelsof certain contaminants at drinking water intakes. Therefore, the go al of this study was to use multiclasssupervised machine learning (SML) classi fication with data collected from six online instrumentsmeasuring fourteen tota l water quality parameters to detect cyanobacteria (corresponding to approximately 950 cells/mL, 2900 cells/mL, and 8600 cells/mL) or DFR (0.5, 1 and 2 % for wastewater effluent) eventsin the raw water entering an intake.”

Key words

Henderson/Nevada/United States/North and Central America/Biological Factors/Biological Pigments/Cyanobacteria/Cyb orgs/Emerging Technologies/Gram-Negative Bacteria/Gram-Negative Oxygenic Phot osynthetic Bacteria/Machine Learning/Phycocyanin

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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