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Titlebook: Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications; 9th EAI Internationa Xuyun Zhang,Guanfeng Liu,Tao Huang Confere

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樓主: Exaltation
31#
發(fā)表于 2025-3-26 22:04:51 | 只看該作者
32#
發(fā)表于 2025-3-27 03:24:58 | 只看該作者
https://doi.org/10.1007/978-3-658-23210-8 both financially and technically constrained. In this paper we provide an overview of the key innovations that are suitable for adoption in emerging economies based on BLE and fog computing. We further present three reference models for indoor navigation systems which can help further the research work in the application of BLE and fog computing.
33#
發(fā)表于 2025-3-27 06:39:50 | 只看該作者
34#
發(fā)表于 2025-3-27 11:44:59 | 只看該作者
Organisation in der WissenschaftIn particular, we exploit a stochastic method for sub-problem optimization in parallel to further improve time efficiency. The experimental results show that our proposed distributed algorithm is suitable to enhance the performance of ADMM, and can be effectively applied for big data classification.
35#
發(fā)表于 2025-3-27 17:42:02 | 只看該作者
36#
發(fā)表于 2025-3-27 20:28:59 | 只看該作者
37#
發(fā)表于 2025-3-28 01:42:46 | 只看該作者
A Multi-objective Computation Offloading Method for Hybrid Workflow Applications in Mobile Edge Compthe optimal strategy for tasks offloading, which is suitable for all the hybrid workflow applications. Finally, extensive experiments have verified the effectiveness and efficiency of our proposed method.
38#
發(fā)表于 2025-3-28 05:54:19 | 只看該作者
39#
發(fā)表于 2025-3-28 07:55:58 | 只看該作者
40#
發(fā)表于 2025-3-28 14:13:10 | 只看該作者
Distributed Stochastic Alternating Direction Method of Multipliers for Big Data ClassificationIn particular, we exploit a stochastic method for sub-problem optimization in parallel to further improve time efficiency. The experimental results show that our proposed distributed algorithm is suitable to enhance the performance of ADMM, and can be effectively applied for big data classification.
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