Titlebook: Genetic and Evolutionary Computing; Proceedings of the F Jeng-Shyang Pan,Zhigeng Pan,Jerry Chun-Wei Lin Conference proceedings 2024 The Edi

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书目名称Genetic and Evolutionary Computing影响因子(影响力)




书目名称Genetic and Evolutionary Computing影响因子(影响力)学科排名




书目名称Genetic and Evolutionary Computing网络公开度




书目名称Genetic and Evolutionary Computing网络公开度学科排名




书目名称Genetic and Evolutionary Computing被引频次




书目名称Genetic and Evolutionary Computing被引频次学科排名




书目名称Genetic and Evolutionary Computing年度引用




书目名称Genetic and Evolutionary Computing年度引用学科排名




书目名称Genetic and Evolutionary Computing读者反馈




书目名称Genetic and Evolutionary Computing读者反馈学科排名

CHANT

勉强

Coronation

GLOOM

Expressway Traffic Speed Prediction Method Based on KF-GRU Model via ETC Data,t also help management departments plan and manage road resources more effectively. Through the utilization and extension of expressway ETC gantry transaction data, this paper proposes an expressway traffic speed prediction method combining Kalman Filter (KF) and Gated Recurrent Unit (GRU) models. B

engagement

Dynamic Brightness Adjustment of Tunnel Lighting Based on ETC Transaction Data,rious, and the energy-saving problem brought by tunnel lighting has gradually attracted everyone‘s attention. As a special section of the highway network, the lighting facilities in the tunnel need to run uninterruptedly for 24 h to solve the “black hole phenomenon” and “zebra effect” in part of the

engagement

Short-Time Traffic Flow Prediction of Highway Toll Station Based on Combined GRU-MLP Model,ict the short-time traffic flow at a time interval of 15 min, and compared with the single models such as SVM, LSTM, GRU, MLP, etc., and the 4 evaluation indexes of MAE, MAPE, RMSE, and R. are adopted to analyze the 5 models, and the results show that the paper The proposed GRU-MLP combination model

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Real-Time Carbon Emission Monitoring and Prediction Method of Expressway Based on LSTM,are the main source of carbon emissions in China, of which road traffic accounts for a relatively high proportion. Reducing road traffic carbon emissions is an important way to achieve carbon emission reduction. Improving the unified statistical monitoring system of traffic carbon emissions and quan

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