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 editionImran 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 - HarvardImran 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.