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significance testing » significance set (Expand Search)
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significance testing » significance set (Expand Search)
largest decrease » marked decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
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Testing set error.
Published 2025“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. Finally, the Beluga Whale Optimization (BWO)-tuned STL-PCA-BWO-BiLSTM hybrid model delivered optimal performance on test sets (RMSE = 0.22, MAE = 0.16, MAPE = 0.99%, ), exhibiting 40.7% higher accuracy than unoptimized BiLSTM (MAE = 0.27). …”
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The contemporary, long-term seasonality in inundation over the whole of the Amazon basin.
Published 2024Subjects: -
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Projected decadal changes in seasonality in the hydrological cycle over the wetland regions.
Published 2024Subjects: -
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Changes in decadal precipitation and JULES inundation between 1990–1999 and 2089–2098.
Published 2024Subjects: -
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