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Autor:
Delli , Veneri Michele, Tychoniec Łukasz, Guglielmetti Fabrizia, Longo Giuseppe, Villard Eric
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. The pipeline is composed of six DL models: a convolutio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ef59ad93773851d175659af0ccdedc5
https://hdl.handle.net/11588/907387
https://hdl.handle.net/11588/907387
