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ANN-GA methodology was used to optimize the input space of the neural network model to find optimal settings for the laccase-mediated synthesis of iodine.
Experimental design methodology was used to optimize the analytical conditions.
Response surface methodology was used to optimize the extraction parameters.
The 23 factorial design and response surface methodology was used to optimize the blanching process.
The Response surface methodology was used to optimize the parameters for maximum extraction of lipids.
Response Surface Methodology was used to optimize the extraction parameters of lutein and chlorophyll.
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Central composite design and response surface methodology were used to optimize the influencing parameters.
Experimental design methodologies were used to optimize the optimal conditions.
Experimental design methodologies were used to optimize the experimental conditions.
Response surface methodology was used to optimize variables affecting the microwave extraction of zerumbone from Zingiber zerumbet using the Box Behnken design.
Response surface methodology was used to optimize machining conditions utilizing the relevant experimental data as obtained through experimentation.
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