Sentence examples for model using conventional from inspiring English sources
This paper explores these issues and discusses why biomedical data are difficult to model using conventional relational techniques.
As an example, it is shown that the structural responses due to temperature are not very easy to conceptualize and subsequently model using conventional analysis methods.
Since the biosorption process is linked with different variables in a non-linear manner and the mechanism of the process is multifaceted, it is difficult to model using conventional mathematical simulation.
The simulation of daily hydrological processes shows that the Water Flow Model for Lake Catchment (WATLAC) model using conventional rain gauge data produces an overall good fit, but the simulation results using TRMM rainfall data are discontented.
Development of a direct methanol fuel cell (DMFC) mass flux model, using conventional transport theory, is presented and used to predict the fluid phase superficial velocity, methanol and water molar fluxes, and the chemical species (methanol and water) dimensionless concentration profiles in the polymer electrolyte membrane, Nafion® 117, of a DMFC.
A process model that makes use of reactive separation of HBr from hydrocarbons and process intensification using molten salt-based chemical looping is presented as a potentially lower cost alternative to a process model using conventional separations in bromine-based methane conversion.
In particular, flow through the duct where the Knudsen number is small enough is modeled using conventional CFD techniques.
Therefore, prosodic events at the levels of phone, syllable, word, and utterance are modeled using suprasegmental states; on the other hand, acoustic events are modeled using conventional states.
The bulk reaction was successfully modelled using conventional free-radical polymerisation with termination rate coefficients calculated from diffusion theory.
Herein, we describe magnetic cell levitation models using conventional polymeric microparticles or nanoparticles as a substrate for the three-dimensional tumor cell culture.
In this study, a high-performance screening/optimization workflow is presented to narrow the ranges of possible scenarios to be modeled using conventional simulation.
