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When a supervised machine learning approach is designed, by necessity the learning method is developed using the data available in public resources at the time of development, and it is then provided for public use.
The case study is developed using the data from ISO New England.
The correlation is developed using the data between the Reynolds number ranges from 2500 to 5500.
The model is designed and developed, using the data, both from literature and our experiments on Kazakhstani fly ash.
The response surface methodology (RSM) based second order mathematical models of machinability aspects are developed using the data obtained through full factorial design (FFD).
Preliminary models were developed using the data from the pilot phase to assess the quality of the results and identify potential issues with the questionnaire design and the obtained results indicated that the collected data were consistent with expectations.
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Shrinkage: The model developed using the development data may be vulnerable to overfitting.
Porosity permeability correlation was developed using the petrophysical data, Table 1.
The correlations were developed using the experimental data obtained from chillers at various operating conditions.
A kinetic model for the reactions was developed using the experimental data and previously proposed reaction mechanisms.
Eventually, a model for entropy generation rates is developed using the numerical data by means of Artificial Neural Network (ANN).
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