Swiss Federal Institute of Technology Zurich (ETH) Researcher Updates Knowledge of Machine Learning (Automatic Detection of the Running Surface of Railway Track s Based on Laser Profilometer Data and Supervised Machine Learning)

Robotics & Machine Learning Daily News2024，Issue(MAY.7) ：19-19.

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Swiss Federal Institute of Technology Zurich (ETH) Researcher Updates Knowledge of Machine Learning (Automatic Detection of the Running Surface of Railway Track s Based on Laser Profilometer Data and Supervised Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news originating from Zurich, Switzerland, b y NewsRx correspondents, research stated, “The measurement of the longitudinal r ail profile is relevant to the condition monitoring of the rail infrastructure. The running surface is recognizable as a shiny metallic area on top of the rail head.” Financial supporters for this research include Federal Office For The Environmen t; Federal Office of Transport; Eth Zurich.

Key words

Swiss Federal Institute of Technology Zu rich (ETH)/Zurich/Switzerland/Europe/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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