首页|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)

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)

扫码查看
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.

Swiss Federal Institute of Technology Zu rich (ETH)ZurichSwitzerlandEuropeCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.7)