Robotics & Machine Learning Daily News2024,Issue(Apr.9) :63-64.

Findings in Machine Learning Reported from Technical University Munich (TU Munic h) (Integrating multi-user digitising actions for mapping gully outlines using a combined approach of Kalman filtering and machine learning)

Robotics & Machine Learning Daily News2024,Issue(Apr.9) :63-64.

Findings in Machine Learning Reported from Technical University Munich (TU Munic h) (Integrating multi-user digitising actions for mapping gully outlines using a combined approach of Kalman filtering and machine learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingfrom Munich, Germany, by News Rx journalists, research stated, “Scalable and transferable methods forgenerati ng reliable reference data for automated remote sensing approaches are crucial, especially formapping complex Earth surface processes such as gully erosion in low-populated and inaccessible areas.”

Key words

Technical University Munich (TU Munich)/Munich/Germany/Europe/Cyborgs/Emerging Technologies/Machine Learning/Remo te Sensing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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