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Updated: Jun 17, 2025

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
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通过将双极化雷达变量纳入生成对抗网络来改进强烈的对流降雨的现在预测

Pengjie Cai1, He Huang2, Taoli Liu1

  • 1School of Mathematics and Computer Science, Guangdong Ocean University, Zhanjiang 524088, China.

Sensors (Basel, Switzerland)
|August 10, 2024
PubMed
概括

本研究介绍了对抗性自行回归网络 (AANet),用于改进降水现在预测. 与现有模型相比,AANet提高了准确性并减少了错误,提供了更可靠的恶劣天气预报.

关键词:
深度学习是一种深度学习.双极化雷达是一种双极化雷达.生成性的对抗性网络.降水 现在 播放 降水

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