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Machine learning based methods are also abundant in literature.
Some linear matrix inequalities based methods are also established to design the state feedback gains and observer gains.
ANN based methods are also applied to the actual VES field data obtained from the tectonically vital geothermal areas of Jammu and Kashmir, India.
There is a limited research, however, on whether random forests regression based methods are also robust.
Besides machine learning methods, entropy based methods are also applied to this field.
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Applications of few fuzzy and neutral network based methods were also traced in the literature.
The selectivity of regression based methods was also contrasted with the capacity of qualitative methods to determine the homogeneity of the entire formulation.
Random Tree based methods were also commonly used.
Comparisons between the proposed framework and Edgeworth expansions based method are also performed to illustrate the advantage of the proposed framework.
Force-based methods are also useful for understanding force-induced conformational changes in single molecules.
In order to account for the differences in the two methods of interface determination the results of interface determination using distance based method were also compared with those determined using accessibility criterion with all-atom record from the crystal structures.
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