形上升才刺激 发表于 2025-3-27 00:33:53

Vibration Adaptive Anomaly Detection of Hydropower Unit in Variable Condition Based on Moving Leasttime detect the anomaly of hydropower unit vibration parameters. The results show that this model can effectively evaluate the performance of unit vibration, can more accurately detect the abnormal of unit vibration.

Postulate 发表于 2025-3-27 02:04:52

Conference proceedings 2014 2014, held in Hefei, China in October 2014. The 107 revised full papers presented were carefully reviewed and selected from 198 submissions. The papers are organized in 18 cohesive sections, 3 special sessions and one competitive session covering all major topics of swarm intelligence research and

不法行为 发表于 2025-3-27 09:20:00

Semi-supervised Ant Evolutionary Classification. In our model, each ant colony sends its members to propagate its unique pheromone on the unlabeled instances. The unlabeled instances are treated as unlabeled ants. They are assigned to different ant colonies according to the pheromone that different colonies leave on it. Next, the natural selecti

微枝末节 发表于 2025-3-27 12:51:00

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glacial 发表于 2025-3-27 14:30:10

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者变 发表于 2025-3-27 19:19:39

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Tempor 发表于 2025-3-27 23:19:27

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Thyroid-Gland 发表于 2025-3-28 04:31:55

A New Evolutionary Support Vector Machine with Application to Parkinson’s Disease Diagnosissuccessfully to Parkinson’s disease (PD) diagnosis. In the proposed BFO-SVM, the issue of parameter optimization in SVM is tackled using the BFO technique. The effectiveness of BFO-SVM has been rigorously evaluated against the PD Dataset. The experimental results demonstrate that the proposed approa

Crumple 发表于 2025-3-28 09:40:24

Parallel Bees Swarm Optimization for Association Rules Mining Using GPU Architecturebeen successfully running on small and medium data size. Nevertheless, when dealing with large benchmark, it is bluntly blocked. Additionally, graphic processor units are massively threaded providing highly intensive computing and very usable by the optimization research community. The parallelizati

TAG 发表于 2025-3-28 12:40:49

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查看完整版本: Titlebook: Advances in Swarm Intelligence; 5th International Co Ying Tan,Yuhui Shi,Carlos A. Coello Coello Conference proceedings 2014 Springer Intern