The phrase "advanced estimation" is correct and usable in written English.
It can be used in contexts where you are discussing a sophisticated or improved method of estimating something, such as costs, time, or resources.
Example: "The project manager implemented advanced estimation techniques to ensure more accurate budget forecasts."
Alternatives: "sophisticated estimation" or "enhanced estimation".
The classical approach of current integration (Coulomb counting) cannot solve the problems of accumulative error and inaccurate initial values, thus advanced estimation algorithms are applied to determine the sate of charge.
Reduction of the computational time is required not only for enabling simulation of the behavior of packs, but also for development of a model capable of running in real time environments, so that new advanced estimation methods for state of charge (SOC) and state of health (SOH) can be developed.
To overcome these challenges, not only the traditional image processing, computer vision, pattern recognition, and machine learning techniques are required, but also advanced estimation theory and statistical inference, articulated 2D/3D human body modeling and synthesis, sophisticated database or rules for events/behaviors, and so on are critically desired.
Understanding the development of numerical estimation is particularly important to psychologists and educators, as several studies indicate the benefits of advanced estimation skills.
b Note that several advanced estimation mechanisms have been proposed [24], so that the above online algorithms can acquire the link information in practice.
Thus, the main objective of this research is to investigate considering these variables together with other important determinants supported by the literature (Glick and Rogoff 1995; Chinn and Prasad 2003; Chinn and Ito 2007) employing advanced estimation techniques across different groups of countries.
This yields a "population" permeability estimate, and requires considerable data reduction and advanced parameter estimation techniques to obtain mean biophysical parameter values.
Many advanced channel estimation and equalization algorithms have been proposed for high-rate coherent underwater acoustic communications.
For example, Edison Foundation's Institute for Electric Innovation gauges that more than half of all USA households will have advanced meters (estimation for 2015).
This paper is motivated by the pioneering work of Emanuel Parzen wherein he advanced the estimation of (spectral) densities via kernel smoothing and established the role of reproducing kernel Hilbert spaces (RKHS) in field of time series analysis.
Second, we advance the estimation of offline store foot traffic via location search data derived from Baidu Maps, which is then applied to predict Apple's revenues in China and to accurately detect box-office fraud.
