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Updated: Jul 11, 2025

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一个高速公路ETC缺失数据恢复模型,考虑多属性特征

Fumin Zou1, Zhaoyi Zhou1, Qiqin Cai1,2

  • 1Fujian Key Laboratory for Automotive Electronics and Electric Drive, Fujian University of Technology, Fuzhou 350118, China.

Sensors (Basel, Switzerland)
|November 14, 2023
PubMed
概括

本研究引入了一种用于恢复缺失的电子收费 (ETC) 数据的新型模型,显著提高智能运输系统的准确性和稳定性. 该方法提高了大数据挖掘分析的数据质量.

关键词:
欧洲交易委员会数据 ETC数据数据挖掘是数据挖掘的一个方法.数据恢复数据恢复高速公路的高速公路.缺失的交易是缺失的交易.

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