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在边缘设备上实施深度学习,用于检测和减少打

Nguyen Ngoc Dinh1, Ngo Chi Bach1, Tran Viet Bach2

  • 1Faculty of Physics, VNU University of Science, Hanoi, 100000, Viet Nam; Vietnam National University, Hanoi, 100000, Viet Nam.

Computers in biology and medicine
|November 23, 2024
PubMed
概括

新的深度学习模型MinSnore能够准确地检测和减少即时的打,即使在基本设备上也是如此. 这种高效的解决方案通过最大限度地减少打的持续时间,为睡眠健康提供了突破性进展.

关键词:
动态卷曲是一种动态卷曲.边缘设备 边缘设备斯诺尔 (MinSnore) 是一个小镇.自主监督学习学习预防打 预防打

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