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AI methods can be used to study the knowledge space and establish the design space within the framework of Quality by Design.
Their results highlight the efficiency of AI methods that are now quite standard.
As in other engineering fields, AI methods have widely been used in geotechnical engineering.
Recently, various AI methods based on powerful computing learning abilities have become predominant techniques for credit scoring and classification.
Of course, the other AI methods also have their individual contributions towards accurate and reliable predictions of coastal processes.
Discussion in this paper is focused on the application of AI methods in the analysis of safety in mining environment.
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Using the individual AI method, we calculate positive AI values for both control pdf/Q0-Htt and pdf/Q128-Htt flies, and see no significant difference in morning anticipation between these two genotypes and their respective genetic background controls (Figure 5B, Figure S1).
The AI method directly generates layer thicknesses that can be converted into an indicator of pavement relative strength.
The AI method applies a mechanistic approach to obtain design solutions assuming linear elastic multi-layered pavement systems [6].
The assumed design input parameters according to the AI method are: MR = 70 MPa (10,000 psi), and 60°F mean annual air temperature.
There were no differences in the above mentioned reproductive parameters using the three catheters compared with cervical AI method (control group).
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