Search alternatives:
objects optimization » objectives optimization (Expand Search), robust optimization (Expand Search), stress optimization (Expand Search)
primary small » primary goal (Expand Search), primary cell (Expand Search)
objects optimization » objectives optimization (Expand Search), robust optimization (Expand Search), stress optimization (Expand Search)
primary small » primary goal (Expand Search), primary cell (Expand Search)
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S1 File -
Published 2024“…<div><p>In the proposed protection coordination scheme, the depreciation of the operation time of the entire relay in the primary and backup protection modes for all possible fault locations is considered as the objective function. …”
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2
Flowchart of SAOA.
Published 2024“…<div><p>In the proposed protection coordination scheme, the depreciation of the operation time of the entire relay in the primary and backup protection modes for all possible fault locations is considered as the objective function. …”
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Flowchart of overall solution procedure.
Published 2024“…<div><p>In the proposed protection coordination scheme, the depreciation of the operation time of the entire relay in the primary and backup protection modes for all possible fault locations is considered as the objective function. …”
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Table 1_Assessing accuracy of BiliPredics algorithm in predicting individual bilirubin progression in neonates—results from a prospective multi-center study.docx
Published 2025“…Various scenarios differing in type and number of bilirubin measurements and in prediction horizon were tested. Primary objective was prediction accuracy of the BiliPredics algorithm based on total serum bilirubin (TSB) measurements or based on transcutaneous bilirubin (TcB) measurements alone. …”
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Supplementary file 2_Machine learning enables early risk stratification of hymenopteran stings: evidence from a tropical multicenter cohort.xlsx
Published 2025“…Accurate early risk stratification is essential to guide timely intervention.</p>Objective<p>To develop and validate an interpretable machine learning model for early prediction of severe outcomes following hymenopteran stings.…”
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Image 1_Machine learning enables early risk stratification of hymenopteran stings: evidence from a tropical multicenter cohort.png
Published 2025“…Accurate early risk stratification is essential to guide timely intervention.</p>Objective<p>To develop and validate an interpretable machine learning model for early prediction of severe outcomes following hymenopteran stings.…”
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Supplementary file 1_Machine learning enables early risk stratification of hymenopteran stings: evidence from a tropical multicenter cohort.docx
Published 2025“…Accurate early risk stratification is essential to guide timely intervention.</p>Objective<p>To develop and validate an interpretable machine learning model for early prediction of severe outcomes following hymenopteran stings.…”
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Image 2_Machine learning enables early risk stratification of hymenopteran stings: evidence from a tropical multicenter cohort.png
Published 2025“…Accurate early risk stratification is essential to guide timely intervention.</p>Objective<p>To develop and validate an interpretable machine learning model for early prediction of severe outcomes following hymenopteran stings.…”
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Data_Sheet_1_Alzheimer’s Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield...
Published 2022“…Finally, we implemented and compared the different feature selection algorithms to integrate the structural features, brain networks, and voxel features to optimize the diagnostic identifications of AD using support vector machine (SVM) classifiers. …”