APA (7th ed.) Citation

Khemili, W., Saidi, M. Y., Hajlaoui, J. E., Omri, M. N., & Chen, K. (2025). Parallel bi-state deep reinforcement learning approach for SFC placements and deployments. Neural Computing & Applications, 37(30), 24541. https://doi.org/10.1007/s00521-024-10486-7

Chicago Style (17th ed.) Citation

Khemili, Wided, Mohand Yazid Saidi, Jalel Eddine Hajlaoui, Mohamed Nazih Omri, and Ken Chen. "Parallel Bi-state Deep Reinforcement Learning Approach for SFC Placements and Deployments." Neural Computing & Applications 37, no. 30 (2025): 24541. https://doi.org/10.1007/s00521-024-10486-7.

MLA (9th ed.) Citation

Khemili, Wided, et al. "Parallel Bi-state Deep Reinforcement Learning Approach for SFC Placements and Deployments." Neural Computing & Applications, vol. 37, no. 30, 2025, p. 24541, https://doi.org/10.1007/s00521-024-10486-7.