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51#
發(fā)表于 2025-3-30 10:23:54 | 只看該作者
52#
發(fā)表于 2025-3-30 12:45:28 | 只看該作者
53#
發(fā)表于 2025-3-30 17:40:59 | 只看該作者
Book‘‘‘‘‘‘‘‘ 2024Latest edition can be driven by using renewable energy sources. Numerous advanced algorithms and Intelligent computing like federated learning have been studied and compared to ensure the appropriate effectiveness of the green IoT ecosystem. Finally, the potentially state-of-the-art direction has been given towards green IoT and mobile computing.
54#
發(fā)表于 2025-3-30 22:00:19 | 只看該作者
55#
發(fā)表于 2025-3-31 02:48:23 | 只看該作者
Optimization of Green Mobile Cloud Computingient approaches applied in MCC powered by renewable energy sources integrated with brown energy sources. In part three, AI-based models applied in MCC architecture for energy optimization have been reviewed and finally, challenges and future works have been discussed.
56#
發(fā)表于 2025-3-31 08:44:22 | 只看該作者
Sustainable Energy Management System Using Green Smart Grid in Mobile Cloud Computing Environmenters would incur extensive power consumption during exchanging in the Green Smart Grid with entities. Therefore, Mobile Cloud Computing (MCC) presents data and energy management, cost-effective, and secure Green Smart Grid. In this chapter, we introduce the incorporation of MCC with GSG to have reliable energy management.
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