APA (7th ed.) Citation

Khan, M., Javed, M. F., Othman, N. A., Rehman, S. K. U., & Ahmad, F. Predicting penetration depth in ultra-high-performance concrete targets under ballistic impact: An interpretable machine learning approach augmented by deep generative adversarial network. Elsevier.

Chicago Style (17th ed.) Citation

Khan, Majid, Muhammad Faisal Javed, Nashwan Adnan Othman, Sardar Kashif Ur Rehman, and Furqan Ahmad. Predicting Penetration Depth in Ultra-high-performance Concrete Targets Under Ballistic Impact: An Interpretable Machine Learning Approach Augmented by Deep Generative Adversarial Network. Elsevier.

MLA (9th ed.) Citation

Khan, Majid, et al. Predicting Penetration Depth in Ultra-high-performance Concrete Targets Under Ballistic Impact: An Interpretable Machine Learning Approach Augmented by Deep Generative Adversarial Network. Elsevier.