Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines : Theory, Algorithms and Applications. [ca. 2023]. In J. A. Rad, K. Parand, & S. Chakraverty (Hrsg.), Industrial and Applied Mathematics (1 st ed. 2023) [Cd]. Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-19-6553-1
ISO-690 (author-date, English)RAD, Jamal Amani, PARAND, Kourosh und CHAKRAVERTY, Snehashish (Hrsg.). 1 st ed. 2023. Singapore: Springer Nature Singapore. ISBN 9789811965531.
Modern Language Association 9th editionRad, J. A., K. Parand, und S. Chakraverty, Herausgeber. „Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines : Theory, Algorithms and Applications“. Industrial and Applied Mathematics, 1 st ed. 2023, cd, Springer Nature Singapore, 2023, https://doi.org/10.1007/978-981-19-6553-1.
Mohr Siebeck - Recht (Deutsch - Österreich): Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines : Theory, Algorithms and Applications, 1 st ed. 2023. Aufl. Singapore 2023.
Emerald - HarvardRad, J.A., Parand, K. und Chakraverty, S. (Hrsg.). (2023), Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines : Theory, Algorithms and Applications, Industrial and Applied Mathematics, 1 st ed. 2023., Bd. , Springer Nature Singapore, Singapore, verfügbar unter:https://doi.org/10.1007/978-981-19-6553-1.