American Psychological Association 6th edition

Imran Latif, Q. B. alias, Memon, Z. A., Mahmood, Z., Qureshi, M. U., & Milad, A. (2022). A Machine Learning Model for the Prediction of Concrete Penetration by the Ogive Nose Rigid Projectile. Applied Sciences (2076-3417), 12(4), 2040-2059. https://doi.org/10.3390/app12042040

ISO-690 (author-date, English)

IMRAN LATIF, Qadir Bux alias, MEMON, Zubair Ahmed, MAHMOOD, Zafar, QURESHI, Mohsin Usman und MILAD, Abdalrhman, 2022. A Machine Learning Model for the Prediction of Concrete Penetration by the Ogive Nose Rigid Projectile. Applied Sciences (2076-3417). 15 Februar 2022. Vol. 12, no. 4, p. 2040-2059. DOI 10.3390/app12042040.

Modern Language Association 9th edition

Imran Latif, Q. B. alias, Z. A. Memon, Z. Mahmood, M. U. Qureshi, und A. Milad. „A Machine Learning Model for the Prediction of Concrete Penetration by the Ogive Nose Rigid Projectile.“. Applied Sciences (2076-3417), Bd. 12, Nr. 4, Februar 2022, S. 2040-59, https://doi.org/10.3390/app12042040.

Mohr Siebeck - Recht (Deutsch - Österreich)

Imran Latif, Qadir Bux alias/Memon, Zubair Ahmed/Mahmood, Zafar/Qureshi, Mohsin Usman/Milad, Abdalrhman: A Machine Learning Model for the Prediction of Concrete Penetration by the Ogive Nose Rigid Projectile., Applied Sciences (2076-3417) 2022, 2040-2059.

Emerald - Harvard

Imran Latif, Q.B. alias, Memon, Z.A., Mahmood, Z., Qureshi, M.U. und Milad, A. (2022), „A Machine Learning Model for the Prediction of Concrete Penetration by the Ogive Nose Rigid Projectile.“, Applied Sciences (2076-3417), Vol. 12 No. 4, S. 2040-2059.

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