Robotics & Machine Learning Daily News2024,Issue(Apr.29) :105-106.

Data from Shanghai Business School Provide New Insights into Machine Learning (U rban Landscape Modeling and Algorithms Under Machine Learning and Remote Sensing Data)

Robotics & Machine Learning Daily News2024,Issue(Apr.29) :105-106.

Data from Shanghai Business School Provide New Insights into Machine Learning (U rban Landscape Modeling and Algorithms Under Machine Learning and Remote Sensing Data)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Machine Lea rning. According to news reporting originatingfrom Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Traditional urbanlandscap e modeling relies on limited geographic information data and sensor observation data, but urbanlandscapes are dynamic and cannot generate accurate urban landsc ape models. By utilizing remote sensingdata and machine learning technology to capture the spatiotemporal dynamics of urban landscapes, theaccuracy of urban l andscape modeling is improved.”

Key words

Shanghai/People’s Republic of China/As ia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Remote Sensing/Shanghai Business School

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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