American Psychological Association 6th edition

Çavşi Zaim, H., Yılmaz, M., & Yolaçan, E. N. (2024). Design of gender recognition system using quantum-based deep learning. Neural Computing and Applications, 36(4), 1997-2014. https://doi.org/10.1007/s00521-023-09213-5

ISO-690 (author-date, English)

ÇAVŞI ZAIM, Hande, YILMAZ, Metin und YOLAÇAN, Esra Nergis, 2024. Design of gender recognition system using quantum-based deep learning. Neural Computing and Applications. 1 Februar 2024. Vol. 36, no. 4, p. 1997-2014. DOI 10.1007/s00521-023-09213-5.

Modern Language Association 9th edition

Çavşi Zaim, H., M. Yılmaz, und E. N. Yolaçan. „Design of Gender Recognition System Using Quantum-Based Deep Learning“. Neural Computing and Applications, Bd. 36, Nr. 4, Februar 2024, S. 1997-14, https://doi.org/10.1007/s00521-023-09213-5.

Mohr Siebeck - Recht (Deutsch - Österreich)

Çavşi Zaim, Hande/Yılmaz, Metin/Yolaçan, Esra Nergis: Design of gender recognition system using quantum-based deep learning, Neural Computing and Applications 2024, 1997-2014.

Emerald - Harvard

Çavşi Zaim, H., Yılmaz, M. und Yolaçan, E.N. (2024), „Design of gender recognition system using quantum-based deep learning“, Neural Computing and Applications, Vol. 36 No. 4, S. 1997-2014.

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