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Nonetheless, the same severe measurement problem emerges.
These are considered to be severe measurement conditions because LiCoO2 undergoes structural instability in the high voltage range (i.e., above 4.25 V) [12].
It is demonstrated from the extensive simulations that the proposed NARMA model is effective in predicting the ambient vibration responses of the high performance smart buildings with severe measurement noises.
The results from two numerical examples, a plane frame structure and a thin plate structure, show that the proposed approach has the best performance compared with the commonly used existing expansion methods, and can reliably produce the predictions of mode shape expansion, even in the cases with limited modal data measurements, large modelling errors and severe measurement noise.
The results from a five-degree-of-freedom mass spring system indicate that the proposed approach provided a better performance than the commonly used existing expansion methods and can reliably estimate unmeasured components of mode shapes, even in cases with limited modal measurements and severe measurement noise.
When the portion of observed exposure data is small and they are exposed to severe measurement error, the CGBS performs much better than the other methods.
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The current implementation of the Bowman® rCBF monitor shows a severe upward measurement drift that is clinically relevant.
Among them, the most relevant are: - The muon absorption in 1.5 2 km of rock is quite severe; careful measurements are needed to tune a full Monte Carlo simulation.
- The muon absorption in 1.5 2 km of rock is quite severe; careful measurements are needed to tune a full Monte Carlo simulation.
Despite its limitation and negative impact, the FSS can be effective as an alternative severe accident mitigation measurement for postponing the process of accidents for safety system recovery.
However, L1 regularization alone doesn't compensate for the severe attenuation of measurement sensitivity with increased depth, as demonstrated in Figs. 4 e) and 4(f).
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