APA (7th ed.) Citation

Hussain, S., Nadeem, M., Baber, J., Hamdi, M., Rajab, A., Al Reshan, M. S., & Shaikh, A. (2024). Vulnerability detection in Java source code using a quantum convolutional neural network with self-attentive pooling, deep sequence, and graph-based hybrid feature extraction. Scientific Reports, 14(1), 1-17. https://doi.org/10.1038/s41598-024-56871-z

Chicago Style (17th ed.) Citation

Hussain, Shumaila, Muhammad Nadeem, Junaid Baber, Mohammed Hamdi, Adel Rajab, Mana Saleh Al Reshan, and Asadullah Shaikh. "Vulnerability Detection in Java Source Code Using a Quantum Convolutional Neural Network with Self-attentive Pooling, Deep Sequence, and Graph-based Hybrid Feature Extraction." Scientific Reports 14, no. 1 (2024): 1-17. https://doi.org/10.1038/s41598-024-56871-z.

MLA (9th ed.) Citation

Hussain, Shumaila, et al. "Vulnerability Detection in Java Source Code Using a Quantum Convolutional Neural Network with Self-attentive Pooling, Deep Sequence, and Graph-based Hybrid Feature Extraction." Scientific Reports, vol. 14, no. 1, 2024, pp. 1-17, https://doi.org/10.1038/s41598-024-56871-z.