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algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
from functional » brain functional (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm from » algorithm flow (توسيع البحث)
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181
The convergence curves of the test functions.
منشور في 2025"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"
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182
Single-peaked reference functions.
منشور في 2025"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"
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183
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Optimization outcome for the Rosenbrock function.
منشور في 2025"…The approach leverages gradient information from neural networks to guide SLSQP optimization while maintaining XGBoost’s prediction precision. …"
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Optimization outcome for the Rastrigin function.
منشور في 2025"…The approach leverages gradient information from neural networks to guide SLSQP optimization while maintaining XGBoost’s prediction precision. …"
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2D Rastrigin function.
منشور في 2025"…The approach leverages gradient information from neural networks to guide SLSQP optimization while maintaining XGBoost’s prediction precision. …"
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2D Levy function.
منشور في 2025"…The approach leverages gradient information from neural networks to guide SLSQP optimization while maintaining XGBoost’s prediction precision. …"
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2D Rosenbrock function.
منشور في 2025"…The approach leverages gradient information from neural networks to guide SLSQP optimization while maintaining XGBoost’s prediction precision. …"
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190
Optimization outcome for the Levy function.
منشور في 2025"…The approach leverages gradient information from neural networks to guide SLSQP optimization while maintaining XGBoost’s prediction precision. …"
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191
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Details of the metaheuristic algorithms.
منشور في 2025"…<div><p>Whale Optimization Algorithm (WOA) is a biologically inspired metaheuristic algorithm with a simple structure and ease of implementation. …"
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Parameter settings for algorithms.
منشور في 2025"…<div><p>Whale Optimization Algorithm (WOA) is a biologically inspired metaheuristic algorithm with a simple structure and ease of implementation. …"
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194
Exponentially attenuated sinusoidal function.
منشور في 2025"…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). To optimize the key parameters <i>K</i> and in variational mode decomposition (VMD), a MOCOA-VMD technique specifically tailored for ECG signal processing was developed. …"
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Fitness comparison on test function.
منشور في 2025"…Its restrictions block GEP from successfully handling high-dimensional along with complex optimization problems. …"
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197
Hash function construct used in SKINNY-tk3-hash.
منشور في 2024"…These devices gather information from their environment and send it across a network. …"
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198
LBQANA python code + Merged Gene Expression Dataset from GSE10810, GSE17907, GSE20711, GSE42568, GSE45827, and GSE61304 for Breast Cancer Biomarker Discovery
منشور في 2025"…To address batch effects introduced during the merging process, the Empirical Bayes algorithm from the sva package (via the ComBat function) was applied. …"
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ClaritySpectra: Raman spectra analysis tool
منشور في 2025"…</h2><p dir="ltr">Get the latest updates at <a href="https://github.com/aaroncelestian/ClaritySpectra" rel="noreferrer" target="_blank">https://github.com/aaroncelestian/ClaritySpectra </a></p><h3>SEARH-MATCH</h3><ul><li>Robust Search-Match of minerals/plastics, and it has lots of optional filters.</li><li>Four algorithms to choose from: Correlation, Peaks only, Correlation+Peaks, and Machine Learning dynamic time warping for those spectra that don't want to cooperate</li><li>A nice spectral comparison window with database search/add features to overlay spectra</li><li>Difference curve so you can see what fits and what doesn’t</li><li>And a new <b>experimental</b> feature: Predictive chemistry heatmaps based on spectral correlations.…"