Mallak, A. und Fathi, M. (2021) Comprehensive machine and deep learning fault detection and classification approaches of industry 4.0 mechanical machineries: with application to a hydraulic test rig [cd]. Universitätsbibliothek der Universität Siegen. doi:urn:nbn:de:hbz:467-19147.
Chicago Manual of Style 17th edition (full note)Mallak, Ahlam, und Madjid Fathi. „Comprehensive machine and deep learning fault detection and classification approaches of industry 4.0 mechanical machineries: with application to a hydraulic test rig“. Cd. Universitätsbibliothek der Universität Siegen, [2021?], Universitätsbibliothek der Universität Siegen, [2021?]. https://doi.org/urn:nbn:de:hbz:467-19147.
American Psychological Association 7th editionMallak, A., & Fathi, M. (ca. 2021). Comprehensive machine and deep learning fault detection and classification approaches of industry 4.0 mechanical machineries: with application to a hydraulic test rig [Universitätsbibliothek der Universität Siegen; Cd]. https://doi.org/urn:nbn:de:hbz:467-19147
Modern Language Association 9th editionMallak, A., und M. Fathi. Comprehensive machine and deep learning fault detection and classification approaches of industry 4.0 mechanical machineries: with application to a hydraulic test rig. cd, Universitätsbibliothek der Universität Siegen, 2021, https://doi.org/urn:nbn:de:hbz:467-19147.
ISO-690 (author-date, Deutsch)MALLAK, Ahlam und Madjid FATHI, 2021. Comprehensive machine and deep learning fault detection and classification approaches of industry 4.0 mechanical machineries: with application to a hydraulic test rig. Siegen: Universitätsbibliothek der Universität Siegen