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Titlebook: Human Centered Computing; Third International Qiaohong Zu,Bo Hu Conference proceedings 2018 Springer International Publishing AG 2018 comp

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樓主: PEL
31#
發(fā)表于 2025-3-27 00:45:40 | 只看該作者
The Implementation of Growth Guidance Factor Diffusion via Octree Spatial Structures for Neuronal Sdevelopment stage was the code modernization by changing the architecture in a way to utilize multiple levels of parallelism offered by todays hardware. Individual neurons are implemented as spherical (for the soma) and cylindrical (for neurites) elements that have appropriate mechanical properties.
32#
發(fā)表于 2025-3-27 04:58:47 | 只看該作者
Intelligent Perceptive QoS Based Centralized Admission Control for Route Computing,rformance of the network and experience of users, the QoS aware routing approaches have been researched. As the Software Defined Networking (SDN) emerging and the machine learning developing, this paper proposes a mechanism based on flow classification and routing strategy selection. This architectu
33#
發(fā)表于 2025-3-27 05:21:46 | 只看該作者
Density Peaks Clustering Based on Improved RNA Genetic Algorithm,GA was used to search the optimums of local density and distance. So clustering centers can be determined easily. Numerical experiments on synthetic and real-world datasets show that, DPC-RNAGA can achieve better or comparable performance on the benchmark of clustering, adjusted rand index (ARI), compared with K-means, DPC and Max_Min SD methods.
34#
發(fā)表于 2025-3-27 12:12:11 | 只看該作者
35#
發(fā)表于 2025-3-27 13:47:47 | 只看該作者
36#
發(fā)表于 2025-3-27 20:50:00 | 只看該作者
37#
發(fā)表于 2025-3-28 01:41:41 | 只看該作者
An Improved MST Clustering Algorithm Based on Membrane Computing,es the process of an improved MST clustering by collecting all feasible solutions to the MST problem together preserving proper edges and deleting redundant heavy edges. The improved MST clustering method efficiently enhances the quality of clustering and proved to be feasible through an instance.
38#
發(fā)表于 2025-3-28 03:11:49 | 只看該作者
39#
發(fā)表于 2025-3-28 09:56:35 | 只看該作者
The Associated Algorithm of Target Batch Number Based on Gaussian Mixture Clustering,ive and refinement of the clusters divided, the tracking information detected by all radar sensors of each target batch number can be obtained precisely in the end. This algorithm provides rapid and precise working conditions for target fusion.
40#
發(fā)表于 2025-3-28 13:16:06 | 只看該作者
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