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steps function » step function (Expand Search), its function (Expand Search), cep function (Expand Search)
algorithm sine » algorithm using (Expand Search), algorithms using (Expand Search), algorithm i (Expand Search)
sine function » gene function (Expand Search), rate function (Expand Search), wave function (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
algorithm steps » algorithm shows (Expand Search), algorithm models (Expand Search)
python function » protein function (Expand Search)
steps function » step function (Expand Search), its function (Expand Search), cep function (Expand Search)
algorithm sine » algorithm using (Expand Search), algorithms using (Expand Search), algorithm i (Expand Search)
sine function » gene function (Expand Search), rate function (Expand Search), wave function (Expand Search)
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141
Results of the SSIM measure for all algorithms.
Published 2023“…A spiral search mechanism incorporating a sine cosine optimization algorithm improves the algorithm’s search diversity, local pioneering ability, and convergence accuracy. …”
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142
Results of Fridman test for all algorithms.
Published 2023“…A spiral search mechanism incorporating a sine cosine optimization algorithm improves the algorithm’s search diversity, local pioneering ability, and convergence accuracy. …”
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143
Results of the PSNR measure for all algorithms.
Published 2023“…A spiral search mechanism incorporating a sine cosine optimization algorithm improves the algorithm’s search diversity, local pioneering ability, and convergence accuracy. …”
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Results of the FSIM measure for all algorithms.
Published 2023“…A spiral search mechanism incorporating a sine cosine optimization algorithm improves the algorithm’s search diversity, local pioneering ability, and convergence accuracy. …”
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145
Results of Fridman test for all algorithms.
Published 2023“…A spiral search mechanism incorporating a sine cosine optimization algorithm improves the algorithm’s search diversity, local pioneering ability, and convergence accuracy. …”
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BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data
Published 2019“…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …”
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Performance of the smooth-index algorithm for matrices with different densities.
Published 2024Subjects: -
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Bespoke software controls the sorter GUI and reports on instrument status to the user.
Published 2024Subjects: -
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Statistic results between the proposed algorithm and other metaheuristic algorithms.
Published 2025Subjects: -
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