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Titlebook: Neural Computing for Advanced Applications; 5th International Co Haijun Zhang,Xianxian Li,Qian He Conference proceedings 2025 The Editor(s)

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樓主: 遮陽傘
11#
發(fā)表于 2025-3-23 11:24:52 | 只看該作者
Adaptive Allocation Method of Terminal Container Parameters Based on Evolutionary Gamenreasonable resource allocation, an evolutionary game algorithm is used to construct an adaptive allocation method of terminal container parameters. First, deploy the smart metering terminal architecture and monitor the operating status of the terminal equipment. Subsequently, based on the idea of d
12#
發(fā)表于 2025-3-23 15:27:30 | 只看該作者
Unmanned Combat Aerial Vehicle Air Combat Decision-Making Method Based on Trust Region-Based Proximament learning techniques., that is the trust region-based proximal policy optimization with rollback (TR-PPO-RB). The traditional proximal policy optimization (PPO) algorithm has been enhanced through the introduction of a novel clipping function that facilitates the accommodation of rollback action
13#
發(fā)表于 2025-3-23 20:31:14 | 只看該作者
Anomaly Detection of Residential Electricity Consumption Based on Ensemble Model of PSO-AE-XGBOOSTocial development. However, incidents like electricity theft contribute to substantial energy consumption and economic losses, escalating the severity of the situation. To address this issue, a method based on the optimization of particle swarm optimization (PSO) and integration of autoencoder and e
14#
發(fā)表于 2025-3-24 01:13:33 | 只看該作者
15#
發(fā)表于 2025-3-24 02:33:09 | 只看該作者
16#
發(fā)表于 2025-3-24 10:20:56 | 只看該作者
17#
發(fā)表于 2025-3-24 11:51:58 | 只看該作者
18#
發(fā)表于 2025-3-24 16:20:48 | 只看該作者
Towards Efficient Federated Learning via?Vehicle Selection and?Resource Optimization in?IoVhicles (IoV). However, employing FL in IoV presents several challenges. First of all, the heterogeneous vehicular resources may lead to the bias of vehicle selection for model training and result in poor performance with respect to data diversity. Moreover, executing FL tasks with limited resources
19#
發(fā)表于 2025-3-24 21:42:54 | 只看該作者
20#
發(fā)表于 2025-3-25 01:58:04 | 只看該作者
A Decision-Making Method Combining Multi-granularity Rough Set and VIKOR Method the farthest away from the negative ideal solution. In the VIKOR method, its weight affects the accuracy of the ranking. Firstly, an objective weight method for determining indicators by granular importance is given, which accurately reflects the role of each granularity in the granularity space, a
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