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However, it is a challenge to make a model utilize the open and growing functions (e.g., model inversion) on the R platform due to the requirement of accessing and revising the model's source code.
Taubock and Hlawatsch transform a doubly selective channel model to a solvable basis pursuit inequality constraint model, utilize the pilot signal as the key measurement that CS reconstruction requires, and analyze the sparsity of the channel parameter in the delay-Doppler domain [10].
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A computer model, utilizing the finite element method, was used.
The model utilizes the standard components of TRNSYS [27] and TESS [28].
This model utilizes the evaporation momentum force and receding contact angle β as parameters.
We first construct the group sparse signal model utilizing the received multi-frequency signals.
This model utilizes the k ɛ turbulence model to solve the flow equations.
The model utilizes the concept of irreversibility of crack emitted dislocation glide.
The model utilizes the concept of planar type heat exchanger with mass transport through the membrane.
The optimization model utilizes the 'Non-dominated Sorting Genetic Algorithm (NSGA-II)'.
Study Design and Setting: Decision analysis model utilizing the hospital perspective.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com