Robotics & Machine Learning Daily News2024,Issue(Aug.19) :16-17.

Studies from University of Texas Arlington Update Current Data on Machine Learni ng (Inspection prioritization of gravity sanitary sewer systems using supervised machine learning algorithms)

Robotics & Machine Learning Daily News2024,Issue(Aug.19) :16-17.

Studies from University of Texas Arlington Update Current Data on Machine Learni ng (Inspection prioritization of gravity sanitary sewer systems using supervised machine learning algorithms)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on artificial intelligence is the su bject of a new report. According to news reportingfrom the University of Texas Arlington by NewsRx journalists, research stated, “Underground wastewatercollec tion systems degrade with time, necessitating utility owners to engage in ongoin g evaluations andenhancements of their asset management frameworks to preserve the performance of their assets. Theinspection and condition assessment of sewe r pipes are crucial for the effective operation and maintenanceof sewer systems .”

Key words

University of Texas Arlington/Algorithm s/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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