Sentence examples for model with improved from inspiring English sources
Div L in 11/3], one obtains a refined model with improved performance in partial unloading/reloading and ratcheting.
The alternating optimization technique is applied for updating a RSCN model with improved penalty weights computed from the kernel density estimation function.
The key element of neurocomputing research in complex domain is the development of artificial neuron model with improved computational power and generalization ability.
In the model with improved resolution, the longitudinal axis is divided by 1120 grid points with a grid spacing of 333.6 m.
This paper aims to establish a simple empirical model with improved accuracy for 3D axisymmetric steady-state velocity fields of downbursts and impinging jets.
A water and energy budget-based distributed hydrological model with improved snow physics (WEB-DHM-S) was applied to elucidate the impact of climate change on mountain snow hydrology in the Shubuto River basin, Hokkaido, Japan.
The approach of this paper is based on the evolutionary multi-objective optimization (EMO) of very thin noise barrier models with improved performance idealized as single-wire designs.
The second stage uses information available in the numerical values of the data to search for high-level dimensionless variables/parameters, generated from simple combinations of dimensionless quantities generated in the first stage and which result in concise neural network models with improved performance characteristics.
Although IgM mAbs might already be useful for some specific applications or could be modified by Ig class swapping to obtain IgG mAbs [36], optimized humanized mouse models with improved B cell function are highly desirable.
To obtain humanized mouse models with improved B and T cell homeostasis, alternative strategies not relying on the transplantation of human fetal tissues – which are not necessarily easy to access to, for ethical, legal or practical reasons – will likely be favored in the future.
They described how their algorithm selected models with improved prediction performance in addition to requiring less computational time.
