Recall scores of anomaly detection algorithms. by GaoXiang Zhao (21499525)

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Convergence curve of each DSM algorithms. by Manoj Kumar V. (18196645)

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Contrast enhancement of digital images using dragonfly algorithm by Soumyajit Saha (19726163)

“…Comparisons with state-of-art methods ensure the superiority of the proposed algorithm. The Python implementation of the proposed approach is available in this <a href="https://github.com/somnath796/DA_contrast_enhancement" target="_blank">Github repository</a>.…”

Table_1_Clinical Functional Seizure Score (CFSS): a simple algorithm for clinicians to suspect functional seizures.DOCX by Mohammad Dashtkoohi (15417886)

Working scheme of the smooth-index algorithm. by Alexander Borst (32619)

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Example performance of the smooth-index algorithm. by Alexander Borst (32619)

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Scenarios for algorithms using IEEE 33 bus. by Bachirou Bogno (20485724)

Scenarios for algorithms using IEEE 69 bus. by Bachirou Bogno (20485724)

Sensitivity analysis of the TV-BayesOpt algorithm performance at tracking a periodic temporal drift when the period of the drift is offset from the covariance function period anticipated by the TV-BayesOpt algorithm. by John E. Fleming (8533956)

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data by Jean-Christophe Lachance (6619307)

“…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. …”

Convergence curve for all algorithms from F20–F30. by Adel Saad Assiri (9962517)

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Convergence curve for all algorithms from F1–F10. by Adel Saad Assiri (9962517)

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Convergence curve for all algorithms from F10–F20. by Adel Saad Assiri (9962517)

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Proportion of simulated data with improved likelihood from using multiple restarts (Algorithm 1). by Jesse Wheeler (18462457)

Subjects: “…routinely applicable algorithm…”

Reward function related parameters. by Honglei Pang (22693724)

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CEC2017 test function test results. by Tengfei Ma (597633)

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The data for Example 5 are sampled from the peaks function. by Yushi Liu (173457)

Run times of two algorithms. by Gourab Saha (8987405)

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F1-scores of anomaly detection algorithms. by GaoXiang Zhao (21499525)

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Qualitative comparisons of the proposed algorithm with 7 state-of-the-art algorithms in 4 representative CT-MRI image pairs. by Ayush Dogra (17054597)

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