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eNauka >  Results >  DeepMerge: Classifying high-redshift merging galaxies with deep neural networks
Title: DeepMerge: Classifying high-redshift merging galaxies with deep neural networks
Authors: Ćiprijanović, Aleksandra ; Snyder, Gregory; Nord, Brian; Peek, Joshua
Issue Date: 2020
Publication: Astronomy and Computing
ISSN: 2213-1337 Astronomy and Computing Search Idenfier
Publisher: Elsevier
Type: Article
Collation: vol. 32 str. 100390-100390
DOI: 10.1016/j.ascom.2020.100390
WoS-ID: 000571492100005
Scopus-ID: 2-s2.0-85084958719
URI: https://enauka.gov.rs/handle/123456789/579485
http://researchrepository.mi.sanu.ac.rs/handle/123456789/2795
Project: Emission nebula: structure and evolution
U.S. Department of Energy, Office of Science, Office of High Energy Physics, Contract No. DE-AC02-07CH11359
HST AR-Theory grant, program number 13887
M-category: 
22M22

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