- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1976-7951
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
PM2.5 Forecast in Korea using the Long Short-Term Memory (LSTM) Model ; day:19 ; month:9 ; year:2022 ; pages:1-14
Asia-Pacific journal of atmospheric sciences ; (19.9.2022), 1-14
- Klassifikation
-
Wirtschaft
- Urheber
-
Ho, Chang-Hoi
Park, Ingyu
Kim, Jinwon
Lee, Jae-Bum
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s13143-022-00293-2
- URN
-
urn:nbn:de:101:1-2022120621291068156627
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:33 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Ho, Chang-Hoi
- Park, Ingyu
- Kim, Jinwon
- Lee, Jae-Bum
- SpringerLink (Online service)
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