Cite
Constructing Highly Nonlinear Cryptographic Balanced Boolean Functions on Learning Capabilities of Recurrent Neural Networks
MLA
Hafiz Muhammad Waseem, et al. “Constructing Highly Nonlinear Cryptographic Balanced Boolean Functions on Learning Capabilities of Recurrent Neural Networks.” IEEE Access, vol. 12, Jan. 2024, pp. 150255–67. EBSCOhost, https://doi.org/10.1109/ACCESS.2024.3477260.
APA
Hafiz Muhammad Waseem, Muhammad Asfand Hafeez, Shabir Ahmad, Bakkiam David Deebak, Noor Munir, Abdul Majeed, & Seoung Oun Hwang. (2024). Constructing Highly Nonlinear Cryptographic Balanced Boolean Functions on Learning Capabilities of Recurrent Neural Networks. IEEE Access, 12, 150255–150267. https://doi.org/10.1109/ACCESS.2024.3477260
Chicago
Hafiz Muhammad Waseem, Muhammad Asfand Hafeez, Shabir Ahmad, Bakkiam David Deebak, Noor Munir, Abdul Majeed, and Seoung Oun Hwang. 2024. “Constructing Highly Nonlinear Cryptographic Balanced Boolean Functions on Learning Capabilities of Recurrent Neural Networks.” IEEE Access 12 (January): 150255–67. doi:10.1109/ACCESS.2024.3477260.