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The first approach named the HIF2 method considers four control points for two passengers.
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The difference is that the alternative method considers two approximate first order differential equations.
This clustering method considers two types of criteria as multiple objectives and optimizes them simultaneously by using a modified multi-objective evolutionary algorithm with new encoding and operators.
This method considers two important evolutionary features of DNA sequence: transition/transversion rate bias and codon frequency bias.
9 10 The method considers six different mitigating factors considered to reduce driver responsibility: road environment, vehicle related factors, traffic conditions, type of accident, traffic rule obedience, and difficulty of the driving task.
Briefly, the method considers two sets of genes, one focal set and one reference set, and calculates the difference in relative frequency of codon family that encode the same amino acid between the two sets.
Among them, MYN method (a Modified version of Yang- Nielsen method) considers three major dynamic features of evolving DNA sequences bias in transition/transversion rate, nucleotide frequency, and unequal transitional substitution but leaves out another important feature: unequal substitution rates among different sites or nucleotide positions.
Unlike uncorrected counts conducted since 1991, our estimation method considered two major sources of error: spatial variation in distribution and imperfect detection.
The framework relies on an environmental model of information and a comprehensive ecodesign method considering three levels of analysis: equipment, infrastructure and information.
This model was established by finite element method considering two kinds of microorganisms' growth, internal mass transfer and bio-electrochemical kinetics.
Table 6 and Table 7 present accuracy, precision, and Macro-F1 for all methods considering four datasets for the 2-class and 3-class experiments, respectively.
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