Sentence examples for model and cluster from inspiring English sources

Based on the characteristics of residual oil after water flooding, three types of ideal core models were designed including dead-end model, shaped island model and cluster model.

The paper discusses the method based on fuzzy weighted-sum model and cluster analysis, the architecture and the operation of the decision support system for generating product alternatives.

According to the different measuring capabilities of cluster members, the master slave coordinated relative navigation strategy for target localization with respect to slavery space robots is proposed; then the basic mathematical models, including coordinated relative measurement model and cluster centralized dynamics, are established respectively.

The purpose of this study is to elucidate a conceptual application of the A-C framework to the lodging sector, develop a scale that can be used to measure A-C constructs in the context of lodging for leisure travelers, and demonstrate the research and practical utility of this scale via use in a structural model and cluster analysis.

The detailed enhanced cascading failure model, including emerging prevention and control measures, subsequent failure search strategy and data mining technique (including sequential pattern mining model and cluster mining model) is discussed in Section 3. The case studies with different simulation scenarios are carried out in Section 4. Finally, conclusions can be found in Section 5.

Cluster-plus-glue atom model and cluster-line criterion were employed to optimize the compositions of Zr-based Al Ni Zr alloys with superior glass-forming abilities (GFAs).

First, performance of the marginal model and cluster-specific model was assessed only for CRTs with a completely randomized design.

Inference of whole-brain statistical images was conducted using the general linear model and cluster-wise family-wise error rate control with p< 0.05 corrected for multiple comparisons.

Distances (distance options according to the Kimura 2-parameter model) and clustering with the neighbor-joining method were determined by using bootstrap values for 1,000 replications.

Variables were autoscaled to unit variance before entering them into the PCA model, and clustering of subjects were displayed in a score-loading plot.

There are several possible solutions to dependence problems, including intra-study averages, hierarchical/multi-level models, and cluster robust standard errors [12].