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Although this index has demonstrated underestimate the total arterial stiffness measured by others methods [ 20, 21], since assumes that the total stroke volume is buffered in the elastic arteries during systole without any peripheral outflow, it has been proved to be useful for estimating and detecting changes in arterial stiffness clinically [ 17, 22].
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For this purpose, Interval type-2 fuzzy logic control approach (IT2FLC) and sliding mode control (SMC) technique are used to design a controller, named active fault tolerant interval type-2 Fuzzy Sliding mode controller (AFTIT2FSMC) based on non-linear adaptive observer to estimate and detect the system faults for each subsystem of the 3-DOF helicopter.
Boyeldieu and Winchester (1982) and Sibbit and Faivre (1985) have used the characteristics of Dual Laterolog to estimate and detect the fractured zones.
The above analyses show that the disequilibrium parameter can be estimated and detected from the two methods.
For the first question " What is the purpose of the instrument?", our goals were evaluating treatment, estimating prevalence, and detecting MHPS-related disability.
The Approaches presented here i.e., modeling, carbon mapping, and estimation can assist to estimate carbon and detect areas of low or high forest carbon, which are relevant to REDD+ activities, particularly, deforestation and enhancing carbon stock.
They show that these estimations, coupled with traffic assignment methods can help estimate congestion and detect local bottlenecks in the city.
Identification of parametric nonlinear models involves estimating unknown parameters and detecting its underlying structure.
This property facilitated the development of a simple linear model which provides the basis for mapping forest carbon, estimating carbon stock and detecting its spatial distribution.
Here, we consider analysis of power (ANOPOW) for replicated time series collected in an experimental design where the main goals are to estimate, and to detect differences among, group spectra.
Table 8 shows the mean of Bayesian estimates and detected change points provided by built-in estimators of EWMA (Nishina 1992) and CUSUM (Page 1954) charts and the ML estimator (Perry 2004) for a step change in a Poisson process.
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