Sentence examples for disaggregation approach from inspiring English sources

The disaggregation approach provides a link between individual-tree models and whole-stand models, and should be considered as a better alternative to the unadjusted tree model.

The stochastic disaggregation approach has been well tested for streamflow (Nowak and others 2010; Towler 2010), and the step-by-step approach is detailed in Online Reference 1.

These findings support the use of simple disaggregation approaches to make usage of past daily precipitation observations or daily precipitation simulations (e.g. from climate models) for hydrological modeling at an hourly time step.

Since this relative size characteristic has also proved useful for modelling growth multipliers, a disaggregation modelling approach for linking the two modelling levels described in this paper is very likely to be successful.

Usually, I/O modeling and system dynamics approaches are characterized by a medium level of disaggregation, whereas the other approaches are in need of a high level of disaggregation.

One approach for disaggregation revolves around the de-convolution of the soil landscape paradigm elaborated during a soil survey.

Another approach to disaggregation uses training areas to develop rules to extrapolate detailed mapping into other, larger areas where detailed mapping is unavailable.

Cao ([2006]) evaluated a disaggregation method against two approaches to constrain an individual-tree model.

However, most of the experiments per force relied on relatively invasive approaches requiring disaggregation of the embryo (Johnson and Ziomek, 1981; Ziomek et al., 1982).

This was described as better understanding of the (i) potential health inequities that could arise or be exacerbated as a result of the type of proposal being assessed, and (ii) the distribution of potential impacts amongst population sub-groups based on different approaches to disaggregation (age, gender, socioeconomic status, location, etc).

The authors had introduced a new unsupervised approach for load disaggregation that includes the mutual devices interactions information into the Factorial Hidden Markov Model (FHMM) representation of the aggregate signal in an earlier work.