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This is achieved by incorporating an algorithm called Standard Deviation Analysis of Structure Elements (SDASE) which maximizes the separability between the blocks.
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Therefore, in the proposed work, a neuro-genetic algorithm has been designed and implemented by incorporating a genetic algorithm (GA) component into the ANN in the training phase.
This model goes beyond traditional mathematical programming by incorporating a genetic algorithm that is proven to be effective in dealing with the NP-hard problem.
We fitted our hierarchical normal linear models by incorporating an expectation-maximisation algorithm into the usual iteratively weighted least squares for classical normal linear models.
For the present application, we extend the ABA algorithm by incorporating an additional term (i.e., the constraint) designed to preserve the tumor volume during the registration process in the cost function.
By analyzing the principles of the MC algorithm, as well as the features of the specific application, improvements were developed to: eliminate ambiguities by using a unified isosurface constructing method in the voxels, and improve the operating efficiency of the MC algorithm by incorporating an octree structure.
We extend the basic AdaBoost algorithm by incorporating an intuitive importance score based on Gini impurity to select candidate SNPs.
An improved Nicolson Ross Weir (NRW) algorithm is obtained by incorporating an impedance-mismatch factor and reference-plane-correction factors into the equations.
By incorporating a novel estimation algorithm, the system was made robust to an unknown payload.
By incorporating a custom ranking algorithm, we were able to identify and prioritize a pool of 589 potential targets for further study.
BAIT then refines the gross interval by incorporating a simple walker algorithm that analyzes reads starting from the homozygous state, and reports the first read on the opposite template that represents a switch to a heterozygous state.
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