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Toward ATM resiliency a deep CNN to predict number of delayed flights and ATFM delay

Bibliographic Details
Published in: Aerospace volume:8; Volume 8 (2021), issue 2, Artikel 28; insgesamt 22 Seiten; year:2021; extent:22; number:2
Authors and Corporations: Sanaei, Rasoul (Author), Pinto, Brian Alphonse (Author), Gollnick, Volker (Author), Technische Universität Hamburg (Other), Institut für Lufttransportsysteme (Other)
Title: Toward ATM resiliency a deep CNN to predict number of delayed flights and ATFM delay Rasoul Sanaei, Brian Alphonse Pinto and Volker Gollnick
Type of Resource: E-Book Component Part
Language: English
published:
25 January 2021
Series: : Aerospace, Volume 8 (2021), issue 2, Artikel 28; insgesamt 22 Seiten
, volume:8
Subjects:
CNN
Source: Verbunddaten SWB
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