Rezultati

eNauka >  Results >  A networked station system for high-resolution wind nowcasting in air traffic operations: A data-augmented deep learning approach
Title: A networked station system for high-resolution wind nowcasting in air traffic operations: A data-augmented deep learning approach
Authors: Alves, Decio; Mendonca, Fabio; Mostafa, Sheikh Shanawaz; Freitas, Diogo; Pestana, Joao; Vieira, Dinarte; Radeta, Marko; Morgado, Dias Fernando
Issue Date: 2025
Publication: PLOS ONE
ISSN: 1932-6203 PLoS One / Public Library of Science Search Idenfier
Type: Article
Collation: vol. 20 br. 1 str. e0316548-e0316548
DOI: 10.1371/journal.pone.0316548
WoS-ID: 001397317800047
Scopus-ID: 2-s2.0-85215009900
PMID: 39808682
PMCID: PMC11731710
URI: https://enauka.gov.rs/handle/123456789/965031
Project: INTERWHALE project (FCT) [PTDC/CCI-COM/0450/2020]
Interactive Technologies Institute (ITI/Larsys) [LA/P/0083/2020, UIDP/50009/2020, UIDB/50009/2020]
Fundacao para a Ciencia e a Tecnologia (FCT)
[UIDB/04292/2020]
[LA/P/0069/2020]
Metadata source: (Preuzeto iz Nasi u WoS)
M-category: 
21M21

2
SCOPUSTM
3
WEB OF SCIENCETM
Alt metrika
Dimensions
Unpaywall

Rezultati na eNauka su zaštićeni autorskim pravima i sva prava su zadržana, osim ako nije drugačije naznačeno.