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Titlebook: Embedded Systems Technology; 15th National Confer Yuanguo Bi,Gang Chen,Yi Wang Conference proceedings 2018 Springer Nature Singapore Pte Lt

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樓主: 貧血
21#
發(fā)表于 2025-3-25 06:21:09 | 只看該作者
22#
發(fā)表于 2025-3-25 07:42:17 | 只看該作者
23#
發(fā)表于 2025-3-25 15:12:22 | 只看該作者
Optimization of Convolution Neural Network Algorithm Based on FPGAroved remarkably. Secondly, the input data and the convolution kernel are multi-level partitioning optimization. The multi-layer input data is grouped by 2k, and the data of each layer is optimized by L group. At the same time, the convolution kernel is also grouped by 2k and the convolution kernel
24#
發(fā)表于 2025-3-25 17:46:55 | 只看該作者
25#
發(fā)表于 2025-3-25 23:21:40 | 只看該作者
26#
發(fā)表于 2025-3-26 01:47:03 | 只看該作者
https://doi.org/10.1007/978-94-009-4944-7amework. The uFusion was designed to implement the event-driven system architecture. Meanwhile, a case study is presented to illustrate our approach to requirement modeling in the development of event-driven control systems.
27#
發(fā)表于 2025-3-26 06:17:55 | 只看該作者
Adrienne M. Flanagan,Usha Sarmaroved remarkably. Secondly, the input data and the convolution kernel are multi-level partitioning optimization. The multi-layer input data is grouped by 2k, and the data of each layer is optimized by L group. At the same time, the convolution kernel is also grouped by 2k and the convolution kernel
28#
發(fā)表于 2025-3-26 09:51:51 | 只看該作者
29#
發(fā)表于 2025-3-26 16:21:56 | 只看該作者
A Spatial-Temporal Model for Locating Electric Vehicle Charging Stationsal models are built to analyze the EV usage behavior in the urban area. The features such as charging demand, high energy consumption area, and highly traveled paths are captured. We evaluate the proposed models on a real-world EV dataset. The results clearly demonstrate the efficiency and accuracy of our models on locating EV charging stations.
30#
發(fā)表于 2025-3-26 20:30:54 | 只看該作者
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