Results
eNauka >
Results >
Comprehensive Analysis and Optimization of Peach (Prunus persica) Vacuum Drying: Employing Principal Component Analysis, Artificial Neural Networks and the Standard Score Approach
| Title: | Comprehensive Analysis and Optimization of Peach (Prunus persica) Vacuum Drying: Employing Principal Component Analysis, Artificial Neural Networks and the Standard Score Approach | Authors: | Šumić, Zdravko   ; Tepić-Horecki, Aleksandra ; Pezo, Lato ; Pavlić, Branimir ; Nastić, Nataša ; Milić, Anita |
Issue Date: | 2024 | Publication: | Processes | ISSN: | 2227-9717 Processes Search Idenfier |
Publisher: | MDPI | Type: | Article | Collation: | vol. 12 br. 12 str. Article number 2643 | DOI: | 10.3390/pr12122643 | WoS-ID: | 001383880800001 | Scopus-ID: | 2-s2.0-85213239638 | URI: | https://enauka.gov.rs/handle/123456789/961686 | Project: | Ministry of Science, Technological Development and Innovations of the Republic of Serbia [451-03-66/2024-03/200134] [451-03-65/2024-03/200134] [451-03-66/2024-03/200051] |
Metadata source: | (Preuzeto iz Nasi u WoS) (Preuzeto iz KNR-a) Nastić, Nataša |
M-category: | 22M22 |
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.