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The model architecture for remote monitoring cloud platform of healthcare information (RMCPHI) was established firstly.

In this paper, based on our earlier work, we introduce test model architecture for model-based testing through a GUI.

Dendriform titanium dioxide nanowires (D-TiO2 NWs) with high aspect ratio and density serve as a model architecture for high-performance self-powered ultraviolet (UV) detectors.

Strengths and weaknesses of both approaches are analyzed and a model architecture for SCADA and the "system under control" are proposed.

Table 2 summarizes the accuracy obtained by the CNN RNN (with GRU neuron model) architecture, for different respective structures, with weights selected similarly, based on performance on the validation data set).

We report a branched hierarchical nanostructure of TiO2 nanoneedles on SnO2 nanofiber network (B-SnO2 NF) that serves as model architecture for highly efficient dye-sensitized solar cells (DSSCs).

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The effectiveness of the proposed method is demonstrated on a complex nonlinear dynamic engine simulation model and an analysis as well as a comparison of the presented model architectures for model based experiment design is given.

We demonstrate how the combination of the GAMETES model generation strategy with a model difficulty metric allows for the intelligent, automated selection of model architectures for simulation studies.

We found that model architectures for which the negative feedback loop is essential occupy the vast majority (86%) of the viable space we sampled.

We also describe flexible approaches to the predictive modelling of mosquito habitats, that provide novel modelling architecture for future research efforts.

Moulin-Frier, Diard, Schwartz, and Bessière (2015) proffer a conceptual framework and computational modeling architecture for the investigation of the emergence of phonological universals for spoken languages.

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