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A three-phase composite chloride diffusion coefficient model of RAC is built to predict its chloride diffusion coefficient.
In order to reduce the computational cost of optimization process, an adaptive neuro-fuzzy inference system (ANFIS) is built to predict the dam effective response instead of directly evaluating it by a time-consuming finite element analysis (FEA).
A theoretical model describing the MVCL as rigid bars connected with compliant hinges is built to predict the equilibrium configurations and snap-through loads of the MVCL.
An end-to-end CNN is built to predict the 16PF traits and intelligence.
In the first stage, a model is built to predict which children will receive therapy.
Starting with a global thermodynamic model of a stratospheric balloon (NASA-SINBAD) and 48-h wind forecast data, a flexible system can be built to predict its trajectory.
A quadratic model was built to predict degradation efficiency.
This happened despite the fact that GFT was built to predict CDC reports.
An artificial neural network (ANN) has been built to predict the copolymer composition.
Partial least squares (PLS) models were built to predict color and firmness.
The LSSVM model was built to predict accurately the cytotoxicity of ILs to capture the nonlinear nature.
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