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Items where Author is "Ning, Zhenhu"

Items where Author is "Ning, Zhenhu"

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Number of items: 10.

cloud computing

Zhang, Jiangjiang, Ning, Zhenhu, Ali, Raja Hashim, Waqas, Muhammad ORCID: 0000-0003-0814-7544 , Tu, Shanshan and Ahmad, Iftekhar (2023) A many-objective ensemble optimization algorithm for the edge cloud resource scheduling problem. IEEE Transactions on Mobile Computing. pp. 1-18. ISSN 1536-1233 (Print), 1558-0660 (Online) (doi:https://doi.org/10.1109/TMC.2023.3235064)

cryptography

Ning, Zhenhu, Xu, Guangquan, Yang, Yongli, Shen, Changxiang, Panaousis, Emmanouil ORCID: 0000-0001-7306-4062 , Wang, Hao and Liang, Kaitai (2019) TAW: cost-effective threshold authentication with weights for internet of things. IEEE Access, 7. pp. 30112-30125. ISSN 2169-3536 (Print), 2169-3536 (Online) (doi:https://doi.org/10.1109/ACCESS.2019.2902226)

deep reinforcement learning

Zhang, Jiangjian, Ning, Zhenhu, Waqas, Muhammad ORCID: 0000-0003-0814-7544 , Alasmary, Hisham, Tu, Shanshan and Chen, Sheng (2023) Hybrid edge-cloud collaborator resource scheduling approach based on deep reinforcement learning and multi-objective optimization. IEEE Transactions on Computer. ISSN 0018-9340 (Print), 1557-9956 (Online) (doi:https://doi.org/10.1109/TC.2023.3326977)

Edge cloud resource scheduling

Zhang, Jiangjian, Ning, Zhenhu, Waqas, Muhammad ORCID: 0000-0003-0814-7544 , Alasmary, Hisham, Tu, Shanshan and Chen, Sheng (2023) Hybrid edge-cloud collaborator resource scheduling approach based on deep reinforcement learning and multi-objective optimization. IEEE Transactions on Computer. ISSN 0018-9340 (Print), 1557-9956 (Online) (doi:https://doi.org/10.1109/TC.2023.3326977)

ensemble learning

Zhang, Jiangjiang, Ning, Zhenhu, Ali, Raja Hashim, Waqas, Muhammad ORCID: 0000-0003-0814-7544 , Tu, Shanshan and Ahmad, Iftekhar (2023) A many-objective ensemble optimization algorithm for the edge cloud resource scheduling problem. IEEE Transactions on Mobile Computing. pp. 1-18. ISSN 1536-1233 (Print), 1558-0660 (Online) (doi:https://doi.org/10.1109/TMC.2023.3235064)

internet of things

Ning, Zhenhu, Xu, Guangquan, Yang, Yongli, Shen, Changxiang, Panaousis, Emmanouil ORCID: 0000-0001-7306-4062 , Wang, Hao and Liang, Kaitai (2019) TAW: cost-effective threshold authentication with weights for internet of things. IEEE Access, 7. pp. 30112-30125. ISSN 2169-3536 (Print), 2169-3536 (Online) (doi:https://doi.org/10.1109/ACCESS.2019.2902226)

Markov decision process

Zhang, Jiangjian, Ning, Zhenhu, Waqas, Muhammad ORCID: 0000-0003-0814-7544 , Alasmary, Hisham, Tu, Shanshan and Chen, Sheng (2023) Hybrid edge-cloud collaborator resource scheduling approach based on deep reinforcement learning and multi-objective optimization. IEEE Transactions on Computer. ISSN 0018-9340 (Print), 1557-9956 (Online) (doi:https://doi.org/10.1109/TC.2023.3326977)

mobile edge computing

Zhang, Jiangjiang, Ning, Zhenhu, Ali, Raja Hashim, Waqas, Muhammad ORCID: 0000-0003-0814-7544 , Tu, Shanshan and Ahmad, Iftekhar (2023) A many-objective ensemble optimization algorithm for the edge cloud resource scheduling problem. IEEE Transactions on Mobile Computing. pp. 1-18. ISSN 1536-1233 (Print), 1558-0660 (Online) (doi:https://doi.org/10.1109/TMC.2023.3235064)

multi-objective optimization

Zhang, Jiangjian, Ning, Zhenhu, Waqas, Muhammad ORCID: 0000-0003-0814-7544 , Alasmary, Hisham, Tu, Shanshan and Chen, Sheng (2023) Hybrid edge-cloud collaborator resource scheduling approach based on deep reinforcement learning and multi-objective optimization. IEEE Transactions on Computer. ISSN 0018-9340 (Print), 1557-9956 (Online) (doi:https://doi.org/10.1109/TC.2023.3326977)

resource scheduling

Zhang, Jiangjiang, Ning, Zhenhu, Ali, Raja Hashim, Waqas, Muhammad ORCID: 0000-0003-0814-7544 , Tu, Shanshan and Ahmad, Iftekhar (2023) A many-objective ensemble optimization algorithm for the edge cloud resource scheduling problem. IEEE Transactions on Mobile Computing. pp. 1-18. ISSN 1536-1233 (Print), 1558-0660 (Online) (doi:https://doi.org/10.1109/TMC.2023.3235064)

This list was generated on Sun Nov 24 22:12:21 2024 UTC.