In this paper, we present a Bayesian framework that automatically provides the benefits of both models under varying contexts.
Recently a number of comprehensive benchmark studies have been presented, with the goal of assessing the performance landscape of saliency models under varying conditions.
This paper contains novel investigations involving computer-aided durability design, corrosion modeling under varying oxygen, classification and standardization of corrosion product data.
Static pressure measurements are taken along a test-section sidewall to provide a pressure signature of the test models under varying rotor tip-speed ratios (freestream conditions and model RPMs).
Figure 2 illustrates the relative performance of the different models under varying levels of effect size and background residual familial variance.
The model's performance under varying environmental conditions constitutes a partial test of alternative explanations of behavior.
The model is validated under varying operating conditions against experimental data from conventional PEFCs in literature and low loading electrodes measured in-house with and without an MPL.
In this paper a modified version of the blind source separation (BSS -based Second-Order BSS -basedtification (SOBI) method was used to perform modal damping identification on a model Blinde structure under varyIdentificationnditionSOBI
A model of industry drying under varying external condition is presented.
