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The method also extends naturally to plants in a polytope.
To handle the case of different output label spaces, this method also extends work from [53] and uses a Bayesian-based method to model the relationship between the differing output spaces as to unify them through re-scaling and calibration of the two output variables.
By handling both missing data and covariates, our method also extends the method proposed by Chen et al. (2012).
In addition to this feature, the method also extends the classical threshold-based co-localization by providing other interaction "potentials" apart from the threshold function, and also incorporates in the model the spatial distribution of objects within a point pattern.
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These new methods also extend previous work on non-overlapping balancing domain decomposition methods toward simplifying their coarse problems and local solvers.
The new method is also extended to measure the key parameters of SVOCs from sorption materials.
Notably, the proposed method is also extended to detect wormhole attack.
The method is also extended to design PI/PID controllers for an unstable FOPTD system.
The method is also extended to the case of matrix coefficient.
This method is also extended to multiphase reaction systems based on the concept of shadow reactor compartments.
The method was also extended to detect the boundaries of clusters in 2-D digital images acquired from fluidized beds.
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