Search alternatives:
sample optimization » whale optimization (Expand Search), step optimization (Expand Search), kepler optimization (Expand Search)
wolf optimization » whale optimization (Expand Search), swarm optimization (Expand Search), _ optimization (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based sample » blood sample (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
based wolf » based whole (Expand Search), based work (Expand Search), based well (Expand Search)
sample optimization » whale optimization (Expand Search), step optimization (Expand Search), kepler optimization (Expand Search)
wolf optimization » whale optimization (Expand Search), swarm optimization (Expand Search), _ optimization (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based sample » blood sample (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
based wolf » based whole (Expand Search), based work (Expand Search), based well (Expand Search)
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ROC curve for binary classification.
Published 2024“…Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”
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Confusion matrix for binary classification.
Published 2024“…Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”
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Identification and quantitation of clinically relevant microbes in patient samples: Comparison of three k-mer based classifiers for speed, accuracy, and sensitivity
Published 2019“…We tested the accuracy, sensitivity, and resource requirements of three top metagenomic taxonomic classifiers that use fast k-mer based algorithms: Centrifuge, CLARK, and KrakenUniq. …”
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Performance on GradEva.
Published 2024“…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”
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The considered test problems.
Published 2024“…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”
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Performance on FunEva.
Published 2024“…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”
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Performance on Iter.
Published 2024“…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”
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Continuation of Table 2.
Published 2024“…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”
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Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level
Published 2021“…Our algorithm outperforms the nearest neighbor algorithm and is shown to produce matched samples with total distance no larger than twice the optimal distance. …”
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Testing results for classifying AD, MCI and NC.
Published 2024“…Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”
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Summary of existing CNN models.
Published 2024“…Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”
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Parameter settings.
Published 2024“…<div><p>Differential Evolution (DE) is widely recognized as a highly effective evolutionary algorithm for global optimization. It has proven its efficacy in tackling diverse problems across various fields and real-world applications. …”