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Updated: Jul 21, 2026

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device
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Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device

Published on: April 17, 2021

一个具有多变量融合的新型时空变压器网络,用于短期降水预测

Kai Zhang1,2, Guojing Zhang3,4, Xiaoying Wang1,2

  • 1School of Computer Technology and Application, Qinghai University, Xining, 810016, China.

Scientific reports
|November 27, 2025
PubMed
概括

本研究介绍了ST-MFTransNet,这是一个新的深度学习模型,用于短期降水预测. 它有效地结合了多个天气数据源,以提高预报准确性,优于现有方法.

关键词:
编码器-解码器框架多变量聚变模块 (MFM) 是一个多变量聚变模块.短期降水预报 短期降水预报

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Multi-input and Multi-variable systems

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