首页|Findings on Machine Learning Detailed by Investigators at Louisiana State Univer sity (Machine-learning-assisted Leak Detection Using Distributed Temperature and Acoustic Sensors)
Findings on Machine Learning Detailed by Investigators at Louisiana State Univer sity (Machine-learning-assisted Leak Detection Using Distributed Temperature and Acoustic Sensors)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. Accordingto news originating from Baton Rouge, L ouisiana, by NewsRx correspondents, research stated, “Smallleaks, many of which often go undetected using conventional gauges, remain an urgent problem for anaging pipeline infrastructure. This article proposes a method that allows for an automated and robust leakdetection and localization system by fusing distribut ed acoustic sensor (DAS) and distributed temperaturesensor (DTS) data for machi ne learning.”
Baton RougeLouisianaUnited StatesN orth and Central AmericaCyborgsEmerging TechnologiesMachine LearningLoui siana State University
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