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An automatic 3-D aggregation detection algorithm resolved 1006 krill swarms from the survey data.
A slightly modified error function of the back propagation algorithm resolved this shortcoming and accelerated convergence to a solution.
Our GPS adaptive algorithm resolved this limitation and we explain the design and development of this algorithm in the Experimental results section.
A previously reported method of synthesizing the ab intio gene prediction algorithm and the comparative algorithm resolved the problem of incompletion [20].
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This algorithm resolves the drawback by considering all forecast factors with high-dimensional data.
The ADMM algorithm resolves a linear system like a matrix transformation that makes the problem two-sided.
The algorithm resolves uncertainty in future projects by over-allocating resources so that, on average, resource constraints are met.
Processing of samples using the SNiPer algorithm resolves this issue.
A consensus phylogeny using the minimum evolution algorithm resolves two major clusters of strains (supplementary fig. S4, Supplementary Material online).
The correction algorithm resolves changes of oxygen consumption rate within a measurement cycle, enabling a highly dynamic and "continuous" monitoring of oxygen consumption rate similar to a closed chamber Clark electrode measurement.
Evolutionary algorithms resolve the imbalanced Big Data sets issue using the technique belonging to nested generalized model, considering objects in Euclidean n-space [23].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com