Robotics & Machine Learning Daily News2024,Issue(Oct.23) :76-77.

Xi’an University of Technology Reports Findings in Machine Learning (Constructin g a visual detection model for floc settling velocity using machine learning)

Robotics & Machine Learning Daily News2024,Issue(Oct.23) :76-77.

Xi’an University of Technology Reports Findings in Machine Learning (Constructin g a visual detection model for floc settling velocity using machine learning)

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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 Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “Optimizing the dosage of coa gulant is a time-consuming process, and real-time evaluation of floc settling ve locity can quickly predict the coagulation effect and optimize the dosage. This study used a convolutional neural network (CNN) model to analyze the accuracy of floc image recognition of settling velocity.”

Key words

Xi’an/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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