Robotics & Machine Learning Daily News2024,Issue(Apr.19) :80-81.

Findings on Machine Learning Detailed by Investigators at Louisiana State Univer sity (Machine-learning-assisted Leak Detection Using Distributed Temperature and Acoustic Sensors)

Robotics & Machine Learning Daily News2024,Issue(Apr.19) :80-81.

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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Abstract

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.”

Key words

Baton Rouge/Louisiana/United States/N orth and Central America/Cyborgs/Emerging Technologies/Machine Learning/Loui siana State University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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