Submitted to AGU: Characterizing Seasonality and Trend from In-Situ Time-Series Observations Using Explainable Deep Learning for Ground Deformation Forecasting
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https://figshare.com/articles/dataset/Submitted_to_AGU_Characterizing_Seasonality_and_Trend_from_In-Situ_Time-Series_Observations_Using_Explainable_Deep_Learning_for_Ground_Deformation_Forecasting/23916603/1
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资源简介：
Submitted to AGU: Characterizing Seasonality and Trend from In-Situ Time-Series Observations Using Explainable Deep Learning for Ground Deformation ForecastingThe specific datasets and code<br><br>
提供机构：
Mei, Gang; Ma, Zhengjing; Xu, Nengxiong
创建时间：
2024-04-23
