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We evaluated the prediction accuracy of the proposed models by comparing their performance with the Shift Model under varied prediction interval using the real data collected in the traffic simulator SUMO.
Field and chamber experiments were used to quantify the formaldehyde transfer efficacy (the fraction of formaldehyde transferred from the exhaust stream to the supply stream) in a common ERV model under varied conditions.
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It has flexibility to generate several channel models under varied environmental conditions.
An inactivation model was proposed to describe different inactivation histories under varied drying conditions.
This model could readily imitate the actual cabinet performance under varied operating conditions and component designs.
The model validation will be presented using experimental data reported in literature by different authors on the equilibration rates of different water-precipitant systems, under varied experimental conditions.
In this experimental study, geometrical parameters of TPKW models were varied under different flow conditions and effects on discharge coefficient (Cd) were investigated.
Hence, all the main parameters of the model were varied at ±10% to examine the stability and robustness of results under different assumptions.
Hence, all the main parameters of the model were varied over ±10% to examine the stability and the robustness of results under different assumptions.
The RMSE under different models varied between 34 cm and 37 cm.
However, the BMI-based model varied significantly.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com