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For the thin coatings, energy based models have been shown to be effective.
Artificial neural network (ANN) based models have been used for this purpose.
In order to provide these features new complex network based models have been proposed recently.
Several band by band Total Variation TV -regularized low rank based models have been proposed for HSI mixed denoising.
Physically based models have been developed to analyze the impacts of preferential water flow (PF) and physical non-equilibrium (PNE) solute transport on soil and water resources.
Over the years, several hydrological models ranging from empirical relationships to physically based models have been developed for the prediction of runoff and sediment yield.
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Three types of rate-based models have been used for the simulation of CO2 packed-bed absorbers: the continuous differential contactor model, the nonequilibrium stage model, and the continuous film reaction model.
Approaches, based on hierarchical clustering or other distance-based models, have been applied to classify LOH [ 32] or CGH results [ 33, 34].
To circumvent these limitations, feature-based models have been constructed to distinguish essential genes from non-essential ones based on common or similar features among essential genes [ 24- 28].
Ontology-based models have been developed to implement national and organizational policy as rule-based systems that control data access based on a complex interrelationship between the data user, the patient, and the purpose of the data use [ 8].
Several cell-based models have been developed.
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