Robotics & Machine Learning Daily News2024,Issue(Nov.4) :86-87.

Recent Findings from Harbin Institute of Technology Provides New Insights into M achine Learning (Community Park Visits Determined By the Interactions Between Bu ilt Environment Attributes: an Explainable Machine Learning Method)

Robotics & Machine Learning Daily News2024,Issue(Nov.4) :86-87.

Recent Findings from Harbin Institute of Technology Provides New Insights into M achine Learning (Community Park Visits Determined By the Interactions Between Bu ilt Environment Attributes: an Explainable Machine Learning Method)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating in Shenzhen, Peo ple’s Republic of China, by NewsRx journalists, research stated, “Uncovering the association between built environment (BE) attributes and community park visits by considering potential nonlinear effects can inform more effective spatial po licies. This study utilizes realtime population visitation big data to depict t he spatial variances in community park visits in the case city of Shenzhen.”

Key words

Shenzhen/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Harbin Institute of Techno logy

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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