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eNauka >  Results >  Classification of Cereal Flour by Gas Chromatography – Mass Spectrometry (GC-MS) Liposoluble Fingerprints and Automated Machine Learning
Title: Classification of Cereal Flour by Gas Chromatography – Mass Spectrometry (GC-MS) Liposoluble Fingerprints and Automated Machine Learning
Authors: Pastor, Kristian  ; Ilić, Marko  ; Kojić, Jovana  ; Ačanski, Marijana  ; Vujić, Đura 
Issue Date: 2022
Publication: Analytical Letters
ISSN: 0003-2719 Analytical Letters Search Idenfier
Publisher: London: Taylor & Francis Group
Type: Article
Collation: vol. 55 br. 14 str. 2220-2226
DOI: 10.1080/00032719.2022.2050921
WoS-ID: 000771245800001
Scopus-ID: 2-s2.0-85126795794
URI: http://oa.fins.uns.ac.rs/handle/123456789/396
https://cris.uns.ac.rs/en/scientific-results/journal-publication/48221
https://enauka.gov.rs/handle/123456789/782232
Project: Ministarstvo prosvete, nauke i tehnološkog razvoja Republike Srbije, Ugovor br. 200222 (Institut za prehrambene tehnologije, Novi Sad)
Ministarstvo prosvete, nauke i tehnološkog razvoja Republike Srbije, Ugovor br. 200134 (Univerzitet u Novom Sadu, Tehnološki fakultet)
Metadata source: (Preuzeto iz CrossRef-a) Ilić, Marko
M-category: 
22M22

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