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Updated: Jul 17, 2026

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根据使用LightGBM算法的水滴体积来预测所污垢.

Sumio Kurose1, Hironori Moriwaki2, Tadao Matsunaga1

  • 1School of Engineering, Tottori University, 4-101 Koyama-Minami, Tottori 680-8552, Japan.

Sensors (Basel, Switzerland)
|April 12, 2025
PubMed
概括

这项研究使用洗碗上的水滴量来预测所的使用情况,并优化清洁时间表,解决成本上升和劳动力短缺的问题,以实现高效的设施维护.

关键词:
轻GBMM 轻GBMM 的时间预测清洁时间表的预测数据增强技术数据增强技术洗手间的污垢,所的污垢水滴量预测水滴量预测

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