APA (7th ed.) Citation

Hussain, M., & Lin, M. (2026). Learning in real-world partially observable environments: Revisiting efficient deep Reinforcement Learning DVFS optimization for resource-constrained embedded devices. Journal of Systems Architecture, 176, N.PAG. https://doi.org/10.1016/j.sysarc.2026.103797

Chicago Style (17th ed.) Citation

Hussain, Moayadeldin, and Man Lin. "Learning in Real-world Partially Observable Environments: Revisiting Efficient Deep Reinforcement Learning DVFS Optimization for Resource-constrained Embedded Devices." Journal of Systems Architecture 176 (2026): N.PAG. https://doi.org/10.1016/j.sysarc.2026.103797.

MLA (9th ed.) Citation

Hussain, Moayadeldin, and Man Lin. "Learning in Real-world Partially Observable Environments: Revisiting Efficient Deep Reinforcement Learning DVFS Optimization for Resource-constrained Embedded Devices." Journal of Systems Architecture, vol. 176, 2026, p. N.PAG, https://doi.org/10.1016/j.sysarc.2026.103797.