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Updated: Jan 28, 2026

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
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机器学习辅助灵活电子技术的进步:技术,应用和未来前景.

Hao Su1, Hongcun Wang1, Dandan Sang1

  • 1School of Physics Science and Information Technology, Liaocheng University, Liaocheng 252000, China.

Biosensors
|January 27, 2026
PubMed
概括

这篇评论探讨了像LSTM和CNN这样的机器学习 (ML) 算法如何在灵活的电子产品中增强智能传感. 它详细介绍了从健康监测到软机器人的应用,优化性能和感知.

关键词:
灵活的电子产品灵活的电子产品信息处理技术是信息处理技术.智能灵活的系统智能系统.机器学习是机器学习.

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