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Updated: Jan 12, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

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基于GRU-TCN的剂量-时间度预测方法,以时间通道注意力为基础

Zhaoxing Xu1, Jiasong Pan2, Peng Liu1

  • 1Big Data College, Jiangxi Institute of Fashion Technology, Nanchang, China.

Computer methods in biomechanics and biomedical engineering
|November 7, 2025
PubMed
概括

这项研究引入了一种具有时间通道注意力 (GT-TCA) 的新型GRU-TCN模型,用于准确的剂量-时间-度预测,即使数据有限. GT-TCA模型通过有效处理数据稀缺性和多对线性来提高精确剂量.

关键词:
在这里,GRU GRU GRUTCN TCN 是一个数字.时间道的注意力机器学习是机器学习.药物动力学 药物动力学

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