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

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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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.”

ShanghaiPeople’s Republic of ChinaAs iaAlgorithmsCyborgsEmerging TechnologiesMachine LearningRemote SensingShanghai Business School

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.29)