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Found 3 papers, 2 papers with code
Domain Generalization Strategy to Train Classifiers Robust to Spatial-Temporal Shift
In this paper, we propose a training strategy to make the weather prediction model robust to spatial-temporal shifts.
Simple Baseline for Weather Forecasting Using Spatiotemporal Context Aggregation Network
Traditional weather forecasting relies on domain expertise and computationally intensive numerical simulation systems.
Photometric Redshifts in the North Ecliptic Pole Wide Field based on a Deep Optical Survey with Hyper Suprime-Cam
$AKARI$ took advantage of its continuous nine photometric bands, compared with NASA's $Spitzer$ and WISE space telescopes, which had only four filters with a wide gap in the MIR.
Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics
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