Development of novel spectroscopic and machine learning methods for the measurement of periodic changes in COVID-19 antibody level
Artykuł naukowy w czasopiśmie recenzowanyCzasopismo: MEASUREMENT (ISSN: 0263-2241)
Współautorzy: Zozan Guleken, Yesim Tuyji Tok, Paweł Jakubczyk, Wiesław Paja, Yaroslav Shpotyuk, Józef Cebulski, Joanna Depciuch
Rok wydania: 2022
Tom: 196
Numer czasopisma: art. 111258
Strony od-do: 1-13
Dostęp WWW: https://www.sciencedirect.com/science/article/pii/S0263224122005036
DOI: 10.1016/j.measurement.2022.111258
Cytowanie w formacie Bibtex:
@article{1,
author = "Krzysztof Pancerz and Zozan Guleken and Yesim Tuyji Tok and Paweł Jakubczyk and Wiesław Paja and Yaroslav Shpotyuk and Józef Cebulski and Joanna Depciuch",
title = "Development of novel spectroscopic and machine learning methods for the measurement of periodic changes in COVID-19 antibody level",
journal = "MEASUREMENT",
year = "2022",
number = "art. 111258",
pages = "1-13"
}
Cytowanie w formacie APA:
Pancerz, K. and Zozan Guleken and Yesim Tuyji Tok and Paweł Jakubczyk and Wiesław Paja and Yaroslav Shpotyuk and Józef Cebulski and Joanna Depciuch(2022). Development of novel spectroscopic and machine learning methods for the measurement of periodic changes in COVID-19 antibody level. MEASUREMENT, art. 111258, 1-13.