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What will the future of cloud-based astronomical data processing look like?, , , , , , and . Astroinformatics, volume 12 of Proceedings of the International Astronomical Union, page 27-31. Cambridge University Press, (2016)The SAMI Galaxy Survey: A prototype data archive for Big Science exploration., , , , , , , , , and 6 other author(s). Astron. Comput., (2015)The Cosmic Star Formation Rate from the Faintest Galaxies in the Unobservable Universe, , and . (2013)cite arxiv:1305.1630Comment: 5 pages, 3 figures.The Taipan Galaxy Survey: Scientific Goals and Observing Strategy, , , , , , , , , and 30 other author(s). (2017)cite arxiv:1706.01246Comment: Submitted to PASA; 28 pages, 17 figures, 2 tables.Astronomical source detection in radio continuum maps with deep neural networks., , , , , , , , , and 6 other author(s). Astron. Comput., (January 2023)RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation., , , , , , , , , and 3 other author(s). CoRR, (2023)Radio astronomical images object detection and segmentation: A benchmark on deep learning methods., , , , , , , , , and 2 other author(s). CoRR, (2023)Unexpected Circular Radio Objects at High Galactic Latitude, , , , , , , , , and 19 other author(s). (2020)cite arxiv:2006.14805Comment: Accepted for publication by PASA.KiDS+GAMA: The weak lensing calibrated stellar-to-halo mass relation of central and satellite galaxies, , , , , , , , , and 6 other author(s). (2020)cite arxiv:2006.10777Comment: 10 pages, 10 figures, submitted to A&A, comments welcome.Classification of compact radio sources in the Galactic plane with supervised machine learning., , , , , , , , , and 6 other author(s). CoRR, (2024)