American Psychological Association 6th edition

Namjoonia, F., Sheikhi, M., & Hakami, V. (2022). Fast reinforcement learning algorithms for joint adaptive source coding and transmission control in Io T devices with renewable energy storage. Neural Computing and Applications, 1-21. https://doi.org/10.1007/s00521-021-06656-6

ISO-690 (author-date, English)

NAMJOONIA, Farnoosh, SHEIKHI, Marzieh und HAKAMI, Vesal, 2022. Fast reinforcement learning algorithms for joint adaptive source coding and transmission control in Io T devices with renewable energy storage. Neural Computing and Applications. 4 Januar 2022. P. 1-21. DOI 10.1007/s00521-021-06656-6.

Modern Language Association 9th edition

Namjoonia, F., M. Sheikhi, und V. Hakami. „Fast Reinforcement Learning Algorithms for Joint Adaptive Source Coding and Transmission Control in Io T Devices With Renewable Energy Storage“. Neural Computing and Applications, Januar 2022, S. 1-21, https://doi.org/10.1007/s00521-021-06656-6.

Mohr Siebeck - Recht (Deutsch - Österreich)

Namjoonia, Farnoosh/Sheikhi, Marzieh/Hakami, Vesal: Fast reinforcement learning algorithms for joint adaptive source coding and transmission control in Io T devices with renewable energy storage, Neural Computing and Applications 2022, 1-21.

Emerald - Harvard

Namjoonia, F., Sheikhi, M. und Hakami, V. (2022), „Fast reinforcement learning algorithms for joint adaptive source coding and transmission control in Io T devices with renewable energy storage“, Neural Computing and Applications, S. 1-21.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.