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A comparative study is conducted that compares the performance of supervised learning methods leveraging the proposed morphological model and simple metrics of the melt pool.
Based on the mentioned analytic equations, a comparative study is presented to compare the DVR maximum compensating time for different sags and jump phases by using the mentioned strategies (i.e. pre-sag strategy, in-phase strategy, and the proposed strategy).
A comparative study is carried out to compare support vector machines regression performance with the one of the neural networks, nonlinear regression, and different empirical correlation techniques.
A comparative study is made using various structural models.
A comparative study is presented based on experimental results.
A comparative study is presented showing the advantages and disadvantages of each testing configuration.
A comparative study is performed between results obtained by netting analysis and developed sequential failure modeling.
A comparative study is made using the neural nets and neuro-fuzzy techniques.
A comparative study is carried out with other state-of-the-art optimization techniques.
A comparative study is accomplished using barbituric acid, urea, thiophene, carbon disulphide, and thiourea.
Further, a comparative study is performed to figure out the most dominant efficiency determining operating parameter.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com