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Found 2 papers, 1 papers with code
3D Detection and Characterisation of ALMA Sources through Deep Learning
We present a Deep-Learning (DL) pipeline developed for the detection and characterization of astronomical sources within simulated Atacama Large Millimeter/submillimeter Array (ALMA) data cubes.
A novel approach to the classification of terrestrial drainage networks based on deep learning and preliminary results on Solar System bodies
Several approaches were proposed to describe the geomorphology of drainage networks and the abiotic/biotic factors determining their morphology.
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