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Reflectance spectroscopy and machine learning as a tool for the categorization of twin species based on the example of the Diachrysia genus
Authors:
- Krzysztof Dyba,
- Roman Wąsala,
- Jan Piekarczyk,
- Elżbieta Gabała,
- Magdalena Gawlak,
- Jarosław Jasiewicz,
- Henryk Ratajkiewicz
- Record ID
- UAM73e20fcea3004169a114dabf4a0512df
- Author
- Journal series
- Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, ISSN 1386-1425
- Issue year
- 2022
- Vol
- 273
- Pages
- 1-11
- Article number
- 121058
- ASJC Classification
- ; ; ;
- DOI
- DOI:10.1016/j.saa.2022.121058 Opening in a new tab
- Language
- eng (en) English
- License
- File
-
- File: 1
-
Reflectance spectroscopy and machine learning as a tool for the categorization of twin species based on the example of the Diachrysia genus, File 1-s2.0-S1386142522002062-main.pdf / 3 MB
- 1-s2.0-S1386142522002062-main.pdf
- publication date: 17-02-2022
- Reflectance spectroscopy and machine learning as a tool for the categorization of twin species based on the example of the Diachrysia genus, File 1-s2.0-S1386142522002062-main.pdf / 3 MB
-
- Score (nominal)
- 140
- Score source
- journalList
- Score
- = 140.0, 21-05-2022, ArticleFromJournal
- Publication indicators
- = 0; : 2017 = 1.104; : 2019 (2 years) = 3.232 - 2019 (5 years) =2.848
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- Uniform Resource Identifier
- https://researchportal.amu.edu.pl/info/article/UAM73e20fcea3004169a114dabf4a0512df/
- URN
urn:amu-prod:UAM73e20fcea3004169a114dabf4a0512df
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or PerishOpening in a new tab system.