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cs.LG2019
STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting
Rafaela Castro, Yania M. Souto, Eduardo Ogasawara +2
Applying machine learning models to meteorological data brings many opportunities to the Geosciences field, such as predicting future weather conditions more accurately. In recent…
cs.DB2019★ 1 cited
SAVIME: A Multidimensional System for the Analysis and Visualization of Simulation Data
Hermano Lustosa, Fabio Porto
Scientific applications produce a huge amount of data, which imposes serious management and analysis challenges. In particular, limitations in current database management systems p…