Zobrazeno 1 - 10 of 117 pro vyhledávání: '"Costel Sârbu"'
1
Akademický článek
ABARC: An agent-based rough sets clustering algorithm
Autor: Radu D. Găceanu, Arnold Szederjesi-Dragomir, Horia F. Pop, Costel Sârbu
Publikováno v: Intelligent Systems with Applications, Vol 16, Iss , Pp 200117- (2022)
Clustering is an important task in pattern recognition with many applications in natural sciences and healthcare. However, in practical scenarios, it is often the case that the data cannot be easily separated into well distinguished groups for severa
Externí odkaz: https://doaj.org/article/6ac0e83d9b3442f58a4f1a5fb859b6eb
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3
Akademický článek
Evaluation of Mushrooms Based on FT-IR Fingerprint and Chemometrics
Autor: Ioana Feher, Cornelia Veronica Floare-Avram, Florina-Dorina Covaciu, Olivian Marincas, Romulus Puscas, Dana Alina Magdas, Costel Sârbu
Publikováno v: Applied Sciences, Vol 11, Iss 20, p 9577 (2021)
Edible mushrooms have been recognized as a highly nutritional food for a long time, thanks to their specific flavor and texture, as well as their therapeutic effects. This study proposes a new, simple approach based on FT-IR analysis, followed by sta
Externí odkaz: https://doaj.org/article/b773632eb6224d869fded23a205581ef
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4
Akademický článek
Fuzzy Divisive Hierarchical Associative-Clustering Applied to Different Varieties of White Wines According to Their Multi-Elemental Profiles
Autor: Ioana Feher, Dana Alina Magdas, Cezara Voica, Gabriela Cristea, Costel Sârbu
Publikováno v: Molecules, Vol 25, Iss 21, p 4955 (2020)
Wine data are usually characterized by high variability, in terms of compounds and concentration ranges. Chemometric methods can be efficiently used to extract and exploit the meaningful information contained in such data. Therefore, the fuzzy divisi
Externí odkaz: https://doaj.org/article/89e733a9b0a2428bb991a313ceb78f81
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5
Application of fuzzy algorithms in conjunction with
Autor: Adrian, Pirnau, Ioana, Feher, Costel, Sârbu, Ariana Raluca, Hategan, Francois, Guyon, Dana Alina, Magdas
Publikováno v: Journal of the science of food and agricultureREFERENCES.
Recent statistics from the European Commission indicate that wine is one of the commodities most commonly subject to food fraud. In this context, the development of reliable classification models to differentiate alcoholic beverages requires, besides
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::f4e029067fb11e8c349744918b415e8d
https://pubmed.ncbi.nlm.nih.gov/36541578
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8
Fuzzy characterization and classification of solvents according to their polarity and selectivity. A comparison with the Snyder approach
Autor: Alexandrina Guidea, Costel Sârbu
Publikováno v: Journal of Liquid Chromatography & Related Technologies. 43:336-343
Advanced chemometric methods, such as fuzzy c-means, a semi-supervised clustering method, and fuzzy discriminant analysis, a robust supervised method, have been successfully applied for characterization and classification of 72 solvents according to
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::120165b29184f55f4feec58aa070e0f2
https://doi.org/10.1080/10826076.2020.1725550
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9
Evaluation of Mushrooms Based on FT-IR Fingerprint and Chemometrics
Autor: Florina-Dorina Covaciu, Olivian Marincas, Costel Sârbu, Romulus Puscas, Cornelia Veronica Floare-Avram, Dana Alina Magdas, Ioana Feher
Publikováno v: Applied Sciences, Vol 11, Iss 9577, p 9577 (2021)
Applied Sciences
Volume 11
Issue 20
Edible mushrooms have been recognized as a highly nutritional food for a long time, thanks to their specific flavor and texture, as well as their therapeutic effects. This study proposes a new, simple approach based on FT-IR analysis, followed by sta
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02eb5282f7f3fd717a126150a9045b54
https://www.mdpi.com/2076-3417/11/20/9577
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