Robotics & Machine Learning Daily News2024,Issue(Oct.29) :39-40.

New Findings on Machine Learning Described by Investigators at Sao Paulo State University (UNESP) (Unsupervised Change Detection Methods Applied To Landslide Ma pping: Case Study In Sao Sebastiao, Brazil)

Robotics & Machine Learning Daily News2024,Issue(Oct.29) :39-40.

New Findings on Machine Learning Described by Investigators at Sao Paulo State University (UNESP) (Unsupervised Change Detection Methods Applied To Landslide Ma pping: Case Study In Sao Sebastiao, Brazil)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news originating from Sao Jose dos Campos, Brazil, by NewsRx correspondents, research stated, “Landslides represent a growing glo bal geological hazard, further intensified by climate-induced changes. Remote se nsing data, through its capacity for repetitive collection and change detection techniques, that compare and quantify the spatio-temporal alterations over time, plays a critical role in landslide detection.”

Key words

Sao Jose dos Campos/Brazil/South America/Cyborgs/Emerging Technologies/Machine Learning/Sao Paulo State University (UNESP)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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