This study introduces the Extended Cluster-based Network Modeling (eCNM), a methodology to analyze complex fluid flows. The eCNM focuses on characterizing dynamics within specific subspaces or subsets of variables, providing valuable insights into complex flow phenomena. The effectiveness of the eCNM ...
This paper analyzes the speech big data cluster modeling based on joint neural network and Spark-SVM. As one of the important functions of graph data mining and analysis applications, graph clustering mainly implements classification operations on each node in the graph model based on clusters, and...
Control and user plane split (CUPS) aided ultra-dense network (UDN) is considered as a promising technology in the fifth generation (5G) networks and will undoubtedly develop in beyond 5G (B5G), which can reduce control overhead and improve the system throughput of network. However, the seri...
Cluster tools are the core equipment of semiconductor wafer manufacturing. Their scheduling and controlling are challenging topics in the field of semiconductor manufacturing. Petri nets have the advantages of powerful modeling capacity and simple graphi
Extensible Cluster-Based Scalable Network Services基于可扩展的网络服务的可扩展集群 热度: Modeling taxi services with smartphone-based e-hailing applications 热度: A solution with security concern for rfid based track trace services in epcglobal enabled supply ...
In large-scale sensor networks, grouping sensor nodes into clusters has been considered as an effective way to achieve network scalability and robustness. ... L Cheng,SK Das,MD Francesco,... - IEEE International Conference on Communications 被引量: 25发表: 2011年 Subspace Clustering of Microarray...
[21,22]. Reinforcement learning allows agents to learn optimal policies through interaction with the environment, without requiring precise modeling, which makes it particularly suitable for dynamic and uncertain conditions [23]. MARL enhances this approach by emphasizing collaborative learning of multiple...
Tenhunen, Scalability of the Network-on-Chip communication architecture for 3D meshes, in: International Symposium on Networks-on-Chip (NoCS), 2009, pp. 114–123. Google Scholar [16] I. Savidis, S.M. Alam, A. Jain, S. Pozder, R.E. Jones, R. Chatterjee Electrical modeling and ...
The algorithm considers the energy efficiency and fault-tolerant aspect of the sensor nodes and CHs to improve network performance while meeting QoS criteria. We assessed the effectiveness of the techniques using several WSN scenarios and compared them to the existing state of art methods. This is ...
K. Liu, Self-consistent clustering analysis for multiscale modeling at finite strains, Comput. Methods Appl. Mech. Eng. 349, 339 (2019). Article MathSciNet Google Scholar Z. Liu, M. Fleming, and W. K. Liu, Microstructural material database for self-consistent clustering analysis of ...