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Updated: Jul 9, 2025

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
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在埃塞俄比亚Gunabay流域使用基于地质探测器的卷积神经网络划分地下水潜力

Asnakew Mulualem Tegegne1, Tarun Kumar Lohani1, Abunu Atlabachew Eshete1

  • 1Arba Minch Water Technology Institute, Arba Minch University, Arba Minch, Ethiopia.

Environmental research
|November 30, 2023
PubMed
概括

一个卷积神经网络 (CNN) 有效地绘制了埃塞俄比亚的地下水潜力,确定了中等和低潜力区域. 这种深度学习方法有助于可持续的水资源管理和勘探.

关键词:
和Gunabay流域的流域.在美国,CNN是CNN.地质探测器 地质探测器影响地下水的因素潜在的地下水潜力

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