Robotics & Machine Learning Daily News2024,Issue(Aug.30) :17-18.

Investigators from Chongqing University of Technology Have Reported New Data on Intelligent Systems (Generalized Spatialtemporal Regression Graph Convolutional Transformer for Traffic Forecasting)

Robotics & Machine Learning Daily News2024,Issue(Aug.30) :17-18.

Investigators from Chongqing University of Technology Have Reported New Data on Intelligent Systems (Generalized Spatialtemporal Regression Graph Convolutional Transformer for Traffic Forecasting)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Machine Learning - Intelligent Sys tems is now available. According to newsreporting originating in Chongqing, Peo ple’s Republic of China, by NewsRx journalists, research stated,“Spatial-tempor al data is widely available in intelligent transportation systems, and accuratel y solvingnon-stationary of spatial-temporal regression is critical. In most tra ffic flow prediction research, the nonstationarysolution of deep spatial-tempo ral regression tasks is typically formulated as a spatial-temporalgraph modelin g problem.”

Key words

Chongqing/People’s Republic of China/A sia/Intelligent Systems/Machine Learning/Traffic Forecasting/Transportation/Chongqing University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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