首页|Investigators from Delft University of Technology Release New Data on Machine Le arning (Advancing Railway Track Health Monitoring: Integrating Gpr, Insar and Ma chine Learning for Enhanced Asset Management)
Investigators from Delft University of Technology Release New Data on Machine Le arning (Advancing Railway Track Health Monitoring: Integrating Gpr, Insar and Ma chine Learning for Enhanced Asset Management)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news reporting from Delft, Netherlands, by NewsRx journ alists, research stated, “Railway track health monitoring and maintenance are cr ucial stages in railway asset management, aiming to enhance the train operation quality and service life. For this aim, various inspection means (using diverse nondestructive testing techniques) have been applied, however, these means are m ostly not able to monitor whole railway track network or track underlying layers (e.g., ballast and subgrade).”
DelftNetherlandsEuropeCyborgsEmerging TechnologiesFinanceMachine LearningDelft University of Technology
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