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esd.copernicus.org | ||
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gmd.copernicus.org
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| | | | | Abstract. Forecasting heavy precipitation accurately is a challenging task for most deep learning (DL)-based models. To address this, we present a novel DL architecture called multi-scale feature fusion (MFF) that can forecast precipitation with a lead time of up to 3?h. The MFF model uses convolution kernels with varying sizes to create multi-scale receptive fields. This helps to capture the movement features of precipitation systems, such as their shape, movement direction, and speed. Additionally, the... | |
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www.atmospheric-measurement-techniques.net
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www.hydrology-and-earth-system-sciences.net
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matthewmcgiffen.com
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| | | TDE is referred to as a "transparent" form of encryption. What that means is that the process of encrypting and decrypting data is fully performed in the background. The queries we write to access data are unchanged whether TDE is enabled or not. So, enabling TDE has no impact on application functionality, does not require ... Continue reading What is TDE (Transparent Data Encryption)? | ||
