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Updated: Jul 16, 2025

Measurement of Leaf Hydraulic Conductance and Stomatal Conductance and Their Responses to Irradiance and Dehydration Using the Evaporative Flux Method EFM
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物联网和集体基于长期短期内存的蒸发透气预测为利雅得.

Muhammad Asif Nauman1, Mahlaqa Saeed2, Oumaima Saidani3

  • 1Department of Computer Science, University of Engineering and Technology, Lahore 54890, Pakistan.

Sensors (Basel, Switzerland)
|September 9, 2023
PubMed
概括

精确的蒸发透气 (ET) 预测对于水资源管理至关重要. 使用有限的天气数据的整体长短期记忆 (LSTM) 模型在利雅得预测ET方面取得了高准确性.

关键词:
袋装的LSTM可以使用.增强了LSTM的使用.组合学习组合学习蒸发透气 (ET) 是一个过程.长时间的短期记忆 (LSTM)

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