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Journal: Sensors, 2022
Volume: 22
Number: 3217
3217
Article:
Joint Optimization for Mobile Edge Computing-Enabled Blockchain Systems: A Deep Reinforcement Learning Approach
Authors:
by
Zhuoer Hu, Hui Gao, Taotao Wang, Daoqi Han and Yueming Lu
Link:
https://www.mdpi.com/1424-8220/22/9/3217
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Cite
Hu, Z.; Gao, H.; Wang, T.; Han, D.; Lu, Y. Joint Optimization for Mobile Edge Computing-Enabled Blockchain Systems: A Deep Reinforcement Learning Approach. Sensors 2022, 22, 3217. https://doi.org/10.3390/s22093217
Hu Z, Gao H, Wang T, Han D, Lu Y. Joint Optimization for Mobile Edge Computing-Enabled Blockchain Systems: A Deep Reinforcement Learning Approach. Sensors. 2022; 22(9):3217. https://doi.org/10.3390/s22093217
Chicago/Turabian StyleHu, Zhuoer, Hui Gao, Taotao Wang, Daoqi Han, and Yueming Lu. 2022. "Joint Optimization for Mobile Edge Computing-Enabled Blockchain Systems: A Deep Reinforcement Learning Approach" Sensors 22, no. 9: 3217. https://doi.org/10.3390/s22093217
APA StyleHu, Z., Gao, H., Wang, T., Han, D., & Lu, Y. (2022). Joint Optimization for Mobile Edge Computing-Enabled Blockchain Systems: A Deep Reinforcement Learning Approach. Sensors, 22(9), 3217. https://doi.org/10.3390/s22093217