Robotics & Machine Learning Daily News2024,Issue(Sep.23) :9-10.

Research from Shandong Normal University Provides New Study Findings on Machine Learning (Combining Google traffic map with deep learning model to predict stree t-level traffic-related air pollutants in a complex urban environment)

Robotics & Machine Learning Daily News2024,Issue(Sep.23) :9-10.

Research from Shandong Normal University Provides New Study Findings on Machine Learning (Combining Google traffic map with deep learning model to predict stree t-level traffic-related air pollutants in a complex urban environment)

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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 artificial intelligence. According to news reporting originating from Jinan, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Trafficrel ated air pollution (TRAP) is a major contributor to urban pollution and varies s harply at the street level, posing a challenge for air quality modeling. Traditi onal land use regression models combined with data from fixed monitoring station s may be unable to predict and characterize fine-scale TRAP, especially in compl ex urban environments influenced by various features.”

Key words

Shandong Normal University/Jinan/Peopl e’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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