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Create the matrix Q calculating the features corresponding to the evaluated set and time-frequency footprint, using the data from the design set.
Create the matrix Q with the features of SET2 and the time-frequency footprint evaluated, using the data from the design set. 2.
The data from the design of experiments suggested different cultivation conditions for maximum biomass concentration and PHB accumulation under nitrogen and phosphorus limitations.
During the risk assessment for embankment dams, engineers utilize current and historical data from the design, construction, and operation phases of these structures.
The steps carried out in this experiment are the following: 1. Create the matrix Q calculating the features corresponding to the evaluated set and time-frequency footprint, using the data from the design set. 2.
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The predicted data from the designed artificial neural network model were found to be in a good agreement with the experimental data (R2 = 0.9864).
Data obtained through this system and data obtained from an expert were compared and as a result, it was seen that data from the designed system were in line with the existing data.
The regression equation of the designed experiment was obtained by applying four models namely linear, interactive, quadratic and cubic models which were fitted to the experimental data obtained from the design system.
In order to investigate the properties of flysch rock mass, 12 tunnels of Egnatia Highway, constructed in Northern Greece, were examined considering the data obtained from the design and construction records.
The analysis of the data arising from the design typically involves the use of frequentist statistics.
Data from the first design experiment about the Sense-it app were analysed using thematic analysis.
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CEO of Professional Science Editing for Scientists @ prosciediting.com