cauda-equina 发表于 2025-3-26 22:12:04
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,Prediction of State of Charge in Electric Buses Using Supervised Machine Learning Techniques,is paper aims to accurately predict the State of Charge (SOC) of BEBs in Guangzhou, China, an essential factor for efficient energy management. We employed supervised machine learning techniques, specifically Random Forest and eXtreme Gradient Boosting (XGBoost), to develop predictive models for SOCHalfhearted 发表于 2025-3-28 04:07:57
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Analysis of Visibility for Active Luminous Sign and Reflective Film Sign at Night on Freeway,s have limited visibility at night, which can easily cause traffic accidents. In order to compare the visibility of traditional reflective film signs and LED active luminous signs, this study firstly collected the driver’s vehicle operating speed data and the driver’s visual recognition of the signs