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Spatiotemporally adaptive compression for scientific dataset with feature preservation -- a case study on simulation data with extreme climate events analysis
Additionally, we integrate spatiotemporal feature detection with data compression and demonstrate that performing adaptive error-bounded compression in higher dimensional space enables greater compression ratios, leveraging the error propagation theory of a transformation-based compressor.
AutoML-based Almond Yield Prediction and Projection in California
Almonds are one of the most lucrative products of California, but are also among the most sensitive to climate change.
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