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Updated: Sep 13, 2025

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
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Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

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一个可解释的机器学习框架用于铁路预测维护,使用来自葡萄牙地铁运营商的数据流

Silvia García-Méndez1, Francisco de Arriba-Pérez2, Fátima Leal3

  • 1Information Technologies Group, atlanTTic, University of Vigo, Vigo, Spain. sgarcia@gti.uvigo.es.

Scientific reports
|July 28, 2025
PubMed
概括

本研究介绍了智能运输系统的实时预测性维护解决方案,在故障预测中达到99%以上的准确性. 该系统通过预测故障并实现快速,数据驱动的维护行动来增强铁路运营.

关键词:
可以解释的传感器驱动的计算智能.智能运输系统 智能运输系统在线监督机器学习预测性维护是一种预测性维护.铁路部门的安全和可靠性

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