Robotics & Machine Learning Daily News2024,Issue(Aug.7) :84-85.

Reports from University of Sydney Highlight Recent Findings in MachineLearning (Machine Learning-augmented Multi-arrayed Fiber Bragg Grating Sensors for Enhanc ed Structural Health Monitoring By Discriminating Strain and Temperature Variati ons)

Robotics & Machine Learning Daily News2024,Issue(Aug.7) :84-85.

Reports from University of Sydney Highlight Recent Findings in MachineLearning (Machine Learning-augmented Multi-arrayed Fiber Bragg Grating Sensors for Enhanc ed Structural Health Monitoring By Discriminating Strain and Temperature Variati ons)

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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 reporting originating from Sydn ey, Australia, by NewsRx correspondents, research stated, “Fiberoptic sensors ( FOS) in long-term structural health monitoring (SHM) have drawn significant atte ntion dueto their pivotal role in detecting defects and measuring structural pe rformance in diverse infrastructures.While using FOS, temperature variation due to environmental factors is still considered one of the majorchallenges to iso lating sensing parameters.”

Key words

Sydney/Australia/Australia and New Zea land/Cyborgs/Emerging Technologies/Machine Learning/University of Sydney

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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