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eNauka >  Results >  Machine learning detection of dust impact signals observed by the Solar Orbiter
Title: Machine learning detection of dust impact signals observed by the Solar Orbiter
Authors: Kvammen, Andreas; Wickstrom, Kristoffer; Kociscak, Samuel; Vaverka, Jakub; Nouzak, Libor; Zaslavsky, Arnaud; Rackovic-Babic, Kristina; Gjelsvik, Amalie; Pisa, David; Soucek, Jan;
Issue Date: 2023
Publication: ANNALES GEOPHYSICAE
ISSN: 0992-7689 Annales Geophysicae Search Idenfier
Type: Article
Collation: vol. 41 br. 1 str. 69-86
DOI: 10.5194/angeo-41-69-2023
WoS-ID: 000922022100001
Scopus-ID: 2-s2.0-85147941328
URI: https://enauka.gov.rs/handle/123456789/819213
Project: Research Council of Norway [262941, 326039]
Tromso Research Foundation [19_SG_AT]
Czech Science Foundation [22-10775S]
Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200104 (Univerzitet u Beogradu, Matematički fakultet)
Metadata source: (Preuzeto iz Nasi u WoS)
M-category: 
22M22

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