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Titlebook: Advanced Information Networking and Applications; Proceedings of the 3 Leonard Barolli Conference proceedings 2023 The Editor(s) (if applic

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樓主: Mottled
21#
發(fā)表于 2025-3-25 04:17:05 | 只看該作者
22#
發(fā)表于 2025-3-25 08:27:42 | 只看該作者
https://doi.org/10.1007/978-3-662-53410-6ss in MRS is self-reconfiguration, which is regarded as the major challenge for such technology. Indeed, creating new morphology and behaviors manually is a time-consuming and costly process, especially when dealing with complex structures. In this paper, we have proposed a fast self-reconfiguration
23#
發(fā)表于 2025-3-25 14:46:15 | 只看該作者
24#
發(fā)表于 2025-3-25 17:53:34 | 只看該作者
Grundlagen zur Neurophysiologie der Motorike distribution of mesh clients and compare the results of a Fast Convergence Rational Decrement of Vmax Method (FC-RDVM) with Linearly Decreacing Inertia Weight Method (LDIWM). The simulation results show that FC-RDVM has better load balancing than LDIWM.
25#
發(fā)表于 2025-3-25 23:48:33 | 只看該作者
26#
發(fā)表于 2025-3-26 02:29:25 | 只看該作者
27#
發(fā)表于 2025-3-26 06:47:40 | 只看該作者
?Leibhaftige‘ Sozialarbeit und Gesundheittients. To make appropriate decisions for patients with diabetes, it needs an effective tool to monitor these levels in order regarding insulin administration and food intake to keep blood glucose levels within the range target. Efficient and accurate prediction of future blood sugar levels repeated
28#
發(fā)表于 2025-3-26 10:53:47 | 只看該作者
Kicker, Fu?ball, Kletterwand ...ing orchestration architectures available in state-of-the-art have building blocks that structurally change depending on the problem they are trying to solve. In these orchestrators, life-cycle functions of network slices experience advances on numerous fronts, such as combinatorial methods and Arti
29#
發(fā)表于 2025-3-26 16:08:44 | 只看該作者
Kicker, Fu?ball, Kletterwand ...es. Convolutional neural networks (CNN) have shown good performance for many of these traffic classification tasks, at the cost of a heavy computational burden. To efficiently classify incoming packets, hardware accelerators such as FPGAs, which are integrated with smart network cards, can provide t
30#
發(fā)表于 2025-3-26 17:30:38 | 只看該作者
https://doi.org/10.1007/978-3-662-36264-8enhancing human well-being and productivity. Smart homes and smart indoor environments are prominent emerging technologies in the Internet of Things era and future communications, with applications such as providing personalized healthcare to the elderly and those with impairments by connecting them
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