Cite
Efficient android malware identification with limited training data utilizing multiple convolution neural network techniques.
MLA
Ksibi, Amel, et al. “Efficient Android Malware Identification with Limited Training Data Utilizing Multiple Convolution Neural Network Techniques.” Engineering Applications of Artificial Intelligence, vol. 127, Jan. 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.engappai.2023.107390.
APA
Ksibi, A., Zakariah, M., Almuqren, L., & Alluhaidan, A. S. (2024). Efficient android malware identification with limited training data utilizing multiple convolution neural network techniques. Engineering Applications of Artificial Intelligence, 127, N.PAG. https://doi.org/10.1016/j.engappai.2023.107390
Chicago
Ksibi, Amel, Mohammed Zakariah, Latifah Almuqren, and Ala Saleh Alluhaidan. 2024. “Efficient Android Malware Identification with Limited Training Data Utilizing Multiple Convolution Neural Network Techniques.” Engineering Applications of Artificial Intelligence 127 (January): N.PAG. doi:10.1016/j.engappai.2023.107390.