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Updated: Jul 19, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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基于乘法长期短期记忆 (mLSTM) 深度学习模型和整体多标准决策 (MCDM) 模型的新型综合建模,用于绘制洪水风险图

Aliakbar Mohammadifar1, Hamid Gholami1, Shahram Golzari2

  • 1Department of Natural Resources Engineering, University of Hormozgan, Bandar-Abbas, Hormozgan, Iran.

Journal of environmental management
|August 18, 2023
PubMed
概括

本研究整合了深度学习 (mLSTM) 和多标准决策 (MCDM) 模型,以创建高分辨率的洪水风险地图. 综合方法准确评估洪水危险和脆弱性,为有效的洪水风险管理提供了有价值的工具.

关键词:
科达斯 - 埃达斯 - 穆斯拉合奏.深度学习是一种深度学习.功能选择 功能选择洪水风险地图 洪水风险地图伊朗 伊朗 伊朗 伊朗

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