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eNauka >  Results >  Improving Air Quality Data Reliability through Bi-Directional Univariate Imputation with the Random Forest Algorithm
Title: Improving Air Quality Data Reliability through Bi-Directional Univariate Imputation with the Random Forest Algorithm
Authors: Arnaut, Filip  ; Đurđević, Vladimir  ; Kolarski, Aleksandra  ; Srećković, Vladimir A.  ; Jevremović, Sreten  
Issue Date: 2024
Publication: Sustainability
ISSN: 2071-1050 Sustainability Search Idenfier
Type: Article
Collation: vol. 16 br. 17 str. 7629-7629
DOI: 10.3390/su16177629
WoS-ID: 001311492600001
Scopus-ID: 2-s2.0-85204129000
URI: https://enauka.gov.rs/handle/123456789/931051
Project: project "UniBelgrade: Climate attribution SRB 23/24 (Mentoring programme for young researchers to adopt advanced knowledge in climate research and to effectively communicate their results)" [G-2311-67522]
European Climate Foundation
Ministry of Science, Technological Development and Innovations of the Republic of Serbia
Metadata source: (Preuzeto iz CrossRef-a) Arnaut, Filip
M-category: 
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