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The main idea of the presented method is optimizing of the NVD design process by optimal choice of the optoelectronic channel modules – objective, image intensifier tube, ocular and electrical battery power supply while considering the influence of the external surveillance conditions uncertainty.
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In the simulation, two channel types, CM1 and CM4, and TFC 1 are used, and the threshold of each method is optimized by searching the optimal value for each SNR.
The proposed method is optimized by means of experimental design and response surface methodology.
The number of clusters k, the only parameter of this method, is optimized in a 10-fold cross validation.
These thresholds have been computed by using G4(MP2).[ 45] This quantum chemical extrapolation method is optimized for the calculation of thermochemical properties.
The essential design parameters (including learning rate, momentum coefficient and fuzzification coefficient of the underlying clustering method) are optimized by means of the particle swarm optimization.
The FuGENE transfection method was optimized by testing different quantities of reagent and miR; FuGENE (μL)/miR (μg) ratios of 3 1 in particular were found to be optimal.
Parameters influencing the method were optimized.
A Diltiazem kinetic spectrophotometric method was optimized by factorial analysis.
A chemical hydrolysis method was optimized using a chemometric approach.
The method was optimized using a central composite design (CCD).
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