首页|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)
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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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 .”
University of Texas ArlingtonAlgorithm sCyborgsEmerging TechnologiesMachine Learning
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