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使用机器学习和随机森林递归特征消除,对地铁司机在手动操作中的认知分心进行分类

Haiyue Liu1, Yue Zhou2, Chaozhe Jiang3

  • 1School of Transportation and Logistics, Southwest Jiaotong University, 610097, Chengdu, People's Republic of China.

Scientific reports
|March 4, 2025
PubMed
概括

这项研究使用心电图 (ECG) 信号来检测地铁司机的认知分心. 机器学习模型可以准确地识别驾驶过程中的干扰因素,提高安全性.

关键词:
认知上的分心是认知上的分心.人力资源-人力资源特征机器学习是机器学习.地铁司机 地铁司机消除递归特征的消除.沙普利添加剂的解释

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Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
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