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Interval MADM methods help in reduction of data degeneration and produce more robust results.
Systematic hazard-study methods help in understanding the nature of hazards and their contributing factors.
Although various methods help in transforming algorithms from control flow to dataflow, a programmer has to be somehow aware of the main characteristics of the underlying hardware in order to produce optimal code.
These methods help in eliminating pathway scores that do not contribute to making the distinction and highlighting specific pathways that together achieve an optimal classification rate.
Regularization methods help in defining a unique solution in this ill-posed problem.
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Response surface methodology (RSM), one of the global optimization methods, helps in evaluating the effective factors and in building models to study interaction, and to select optimum conditions of variables for a desired response.
Protein sequence clustering, using Pro-Kmeans, Pro-LEADER, Pro-CLARA and Pro-CLARANS methods helps in classifying a new sequence, retrieve a set of similar sequences for a given query sequence and predict the protein structure of an unknown sequence.
It is found that the results obtained by the proposed method help in differentiating between aggressive and non-aggressive drivers at an uncontrolled intersection.
The temperature oscillation method helps in estimating the temperature dependent thermal conductivity of nanofluids.
The apparent water resistivity (Rwa) method helped in quick detecting the hydrocarbon-bearing zones of the formation.
The proposed method helps in achieving miniaturization and bidirectional flow of fluid which is not possible in traditional pumps.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com