American Psychological Association 6th edition

Alhajim, D., FAHAMA, H. S., & A, M. T. (2024). Enhancing and Securing a Real-Time Embedded Face Recognition System using Raspberry Pi. Journal of Qadisiyah Computer Science & Mathematics, 16(1), 91-103. https://doi.org/10.29304/jqcsm.2024.16.11438

ISO-690 (author-date, English)

ALHAJIM, Dhafer, FAHAMA, Hassoon Salman und A, Mohammed T., 2024. Enhancing and Securing a Real-Time Embedded Face Recognition System using Raspberry Pi. Journal of Qadisiyah Computer Science & Mathematics. 1 Januar 2024. Vol. 16, no. 1, p. 91-103. DOI 10.29304/jqcsm.2024.16.11438.

Modern Language Association 9th edition

Alhajim, D., H. S. FAHAMA, und M. T. A. „Enhancing and Securing a Real-Time Embedded Face Recognition System Using Raspberry Pi.“. Journal of Qadisiyah Computer Science & Mathematics, Bd. 16, Nr. 1, Januar 2024, S. 91-103, https://doi.org/10.29304/jqcsm.2024.16.11438.

Mohr Siebeck - Recht (Deutsch - Österreich)

Alhajim, Dhafer/FAHAMA, Hassoon Salman/A, Mohammed T.: Enhancing and Securing a Real-Time Embedded Face Recognition System using Raspberry Pi., Journal of Qadisiyah Computer Science & Mathematics 2024, 91-103.

Emerald - Harvard

Alhajim, D., FAHAMA, H.S. und A, M.T. (2024), „Enhancing and Securing a Real-Time Embedded Face Recognition System using Raspberry Pi.“, Journal of Qadisiyah Computer Science & Mathematics, Vol. 16 No. 1, S. 91-103.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.