Magnussen, B.M. (2025) Using machine learning for optical spectroscopy data analysis : processing multiple spatially resolved reflection spectroscopy data with continuous feature networks [cd], Intelligent Embeddded Systems. kassel university press. doi:10.17170/kobra-2025011410812.
Chicago Manual of Style 17th edition (full note)Magnussen, Birk Martin. “Using machine learning for optical spectroscopy data analysis : processing multiple spatially resolved reflection spectroscopy data with continuous feature networks”. Cd. Intelligent Embeddded Systems. kassel university press, [2025?], kassel university press, [2025?]. https://doi.org/10.17170/kobra-2025011410812.
American Psychological Association 7th editionMagnussen, B. M. (ca. 2025). Using machine learning for optical spectroscopy data analysis : processing multiple spatially resolved reflection spectroscopy data with continuous feature networks [kassel university press; Cd]. In Intelligent Embeddded Systems. https://doi.org/10.17170/kobra-2025011410812
Modern Language Association 9th editionMagnussen, B. M. “Using machine learning for optical spectroscopy data analysis : processing multiple spatially resolved reflection spectroscopy data with continuous feature networks”. Intelligent Embeddded Systems, cd, kassel university press, 2025, https://doi.org/10.17170/kobra-2025011410812.
ISO-690 (author-date, Deutsch)MAGNUSSEN, Birk Martin, 2025. Using machine learning for optical spectroscopy data analysis : processing multiple spatially resolved reflection spectroscopy data with continuous feature networks. Kassel: kassel university press