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Titlebook: Advances in Swarm Intelligence; 13th International C Ying Tan,Yuhui Shi,Ben Niu Conference proceedings 2022 Springer Nature Switzerland AG

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11#
發(fā)表于 2025-3-23 12:58:45 | 只看該作者
Task Offloading Decision Algorithm for Vehicular Edge Network Based on Multi-dimensional Informationxperiments show that the task offloading decision model trained by the hybrid neural network in this paper has high validity and accuracy when making the offloading decision and can significantly reduce system overhead and task computing delay.
12#
發(fā)表于 2025-3-23 16:38:15 | 只看該作者
Adversarial Examples Are Closely Relevant to?Neural Network Models - A Preliminary Experiment Explorl examples are closely related to them. Peculiarly, sensitivity’s property could help us distinguish the adversarial examples from the data set. This work will inspire the research of adversarial examples detection.
13#
發(fā)表于 2025-3-23 20:29:55 | 只看該作者
14#
發(fā)表于 2025-3-23 22:42:25 | 只看該作者
0302-9743 ce, ICSI 2022, which took place in Xi’an, China, in July 2022. The theme of this year’s conference was “Serving Life with Swarm Intelligence”.. The 85 full papers presented were carefully reviewed and selected from 171 submissions. The papers of the second part cover topics such as: Swarm Robotics a
15#
發(fā)表于 2025-3-24 02:38:28 | 只看該作者
Branch and Cut Algorithm for QCL-C topology and rapid convergence of a star topology. HT-PSO does not require any prior knowledge of the environment, thus it has stronger robustness and adaptability. Experimental results show its superior performance over the state-of-the-art multi-source location method.
16#
發(fā)表于 2025-3-24 09:51:01 | 只看該作者
17#
發(fā)表于 2025-3-24 12:53:42 | 只看該作者
https://doi.org/10.1007/b101764raditional APF. Therefore, we propose a new controller based on the improved APF. Then, the Lyapunov stability of the designed controller is analyzed. Simulation results show the effectiveness of the proposed controller and its superiority over the original method.
18#
發(fā)表于 2025-3-24 18:13:43 | 只看該作者
Problems with Quadratic Capacity Constraintser is applied to a dataset from three data collection stations to predict several indicators. Experiments on real-world data sets and results demonstrate that the improvements proposed in this paper make the model perform better compared to both the original and other common models.
19#
發(fā)表于 2025-3-24 20:12:55 | 只看該作者
20#
發(fā)表于 2025-3-25 02:49:48 | 只看該作者
Conference proceedings 2022022, which took place in Xi’an, China, in July 2022. The theme of this year’s conference was “Serving Life with Swarm Intelligence”.. The 85 full papers presented were carefully reviewed and selected from 171 submissions. The papers of the second part cover topics such as: Swarm Robotics and Multi-a
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