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We investigate the most effective identification approach of a vehicle model by experimental data.
We are confronted by two difficulties: making the quantitative model on the human response time with the similarity and validating the proposed model by experimental work.
Finally, we compare our method with several recent state-of-the-art methods and illustrate the efficiency and performance of the proposed model by experimental results in peak signal to noise ratio (PSNR) and computing time.
Fabrication and RF characterization of GaN HEMT on silicon and sapphire substrate are done, and henceforth, forming a Verilog-A model by experimental results obtained from RF characterization of GaN HEMT.
Areas for further investigation include: capturing effect of multi-mechanistic flow in the liquid phase, mapping the dominant effect of diffusion over capillary pressure against different wettability conditions and permeability constraints, and investigating the sensitivity of the coupled PBM capillary model by experimental validation using methane butane (85 15 %) at 100 °F.
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However, the tuning of such models by experimental approaches still represents an issue: an accurate characterisation does require a measurement in operating conditions since the belt mounting condition might severely affect its dynamic behaviour.
A first-principles model validated by experimental data from literature is chosen to mimic a real Li-ion cell.
A theoretical model supported by experimental observations for silicide precipitation in fully colony and duplex microstructures was established.
To this end, we develop a mathematical model guided by experimental findings.
Our model, supported by experimental evidence, identified an emergent regulatory structure within canonical apoptosis signaling.
This ODE model supported by experimental data generated in HeLa-CD95 cells demonstrated three modes of c-FLIPL action.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com