Oct 22, 2024 · Traditional cloud computing trust models mainly focused on the calculation of the trust of users' behavior. In the process of classification ...
Joy Long Zong Chen, Ke-Lin Du, Wang Haoxiang, Special Issue on Soft Computing for Edge-Driven Applications, Soft Computing, vol. 26, pp. 12867–12869, 2022.
Dec 14, 2022 · Deep neural networks (DNNs) have been rapidly developed in numerous industrial applications. DNNs are computationally demanding, ...
This paper presents an up-to-date survey on current state-of-the-art deployed DNNs for cloud computing. Various DNN complexities associated with different ...
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A Critical analysis on Neural Networks and Deep Learning Based Techniques for the Cloud Computing System and its Impact on Industrial Management. Abstract: ...
Aug 7, 2023 · This paper presents an up-to-date survey on current state-of-the-art deployed DNNs for cloud computing.
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Editorial: Deep neural networks with cloud computing. https://doi.org/10.1016/j.neucom.2022.12.001 ·. Journal: Neurocomputing, 2023, p. 189-190. Publisher ...
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Covering one of the most important subjects to our society today, this editorial team delves into solutions taken from evolving deep learning approaches, ...
Mar 7, 2022 · This study develops a cloud computing platform based on neural networks to overcome the challenges of tiny data storage, low platform throughput, and high ...
This special section focuses on the state-of-the-art technologies on parallel and distributed computing techniques for artificial intelligence (AI), ...