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In principle, the type of smoothing (and the amount of smoothing) could also be optimized by model evidence.
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The dimensions of the flow channels are optimized by modeling and simulation.
The scale-up synthesis of nZVI (zero-valent iron nanoparticles) was optimized by response surface modeling (RS M.
In addition, the thickness of the insulating layer is optimized by a quantum tunneling model based on effective-mass approximation (EMA) theory.
The SPE procedure was optimized by factorial design, using ATZ as a model substrate.
Table 1 Optimized model hyper-parameters Algorithm Parameter Range RF The number of active attributes SVM C 2-5 to 215 γ 2-15 to 23 ANN The number of hidden neurons (one-layer) CvBoost Maximum branching depth 1 to 20 The number of trees 1 to 1000 PLS The number of components 1 to nAttr-1 Model hyper-parameters being optimized by default and their corresponding ranges.
The crucial model for SSC value prediction was optimized by chemometrics.
The baseline models used in our experiments are optimized by grid search [4].
Algorithmic parameters were optimized via model simulation.
Variables including, allocation of lanes for different passenger car movements (e.g., left turn lanes or right turn lanes), exclusive bus lanes, and passive bus priority signal timings can be optimized simultaneously by the proposed model.
The dimensions of the proposed device are first optimized by modeling and the same design is then fabricated and characterized as high frequency signal generator.
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