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>New Big Data Findings Has Been Reported by Investigators at Tongji University (Dstagcn: Dynamic Spatial-temporal Adjacent Graph Convolutional Network for Traffic Forecasting)
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New Big Data Findings Has Been Reported by Investigators at Tongji University (Dstagcn: Dynamic Spatial-temporal Adjacent Graph Convolutional Network for Traffic Forecasting)
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机译:New Big Data Findings Has Been Reported by Investigators at Tongji University (Dstagcn: Dynamic Spatial-temporal Adjacent Graph Convolutional Network for Traffic Forecasting)
By a News Reporter-Staff News Editor at Network Daily News – Data detailedon Information Technology - Big Data have been presented. According to news reporting originating fromShanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Capturing complexand dynamic spatial-temporal dependencies of traffic data is of great importance for accurate and real-timetraffic forecasting in intelligent transportation systems. The spatial-temporal dependency between trafficlocations is often dynamic, which means the correlation between the traffic status of different locationschanges jointly over their spatial distance and the time slice they are in.”
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