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Updated: Jul 27, 2026

Artificial Intelligence-Based System for Detecting Attention Levels in Students
06:37

Artificial Intelligence-Based System for Detecting Attention Levels in Students

Published on: December 15, 2023

[基于深度可分离的卷积和注意力机制的单线性心房的轻量级分类网络]

Yong Hong1, Xin Zhang1, Mingjun Lin1

  • 1College of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.

Nan fang yi ke da xue xue bao = Journal of Southern Medical University
|March 31, 2025
PubMed
概括

一个新的深度学习模型,DSC-AttNet,使用心电图数据有效地诊断心房动. 这种轻量级模型实现了高准确度和精度,超过了可穿戴设备的现有方法.

关键词:
移动网络 (MobileNet) 是一个移动网络.心房动是心房动的一种.卷积块注意力模块的注意力模块电心电图 (ECG) 是一种心电图.轻量级的卷积神经网络是一种神经网络.

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