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Land subsidence analysis along high-speed railway based on EEMD-Prophet method

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Abstract Environmental changes and ground subsidence along railway lines are serious concerns during high-speed railway operations. It is worth noting that AutoRegressive Integrated Moving Average (ARMA). Long Short-Term Memory (LSTM). and other prediction methods may present limitations when applied to predict InSAR time series results. https://bbmbatteryes.shop/product-category/635/
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