Search alternatives:
model optimization » codon optimization (Expand Search), global optimization (Expand Search), wolf optimization (Expand Search)
based optimization » whale optimization (Expand Search)
laboratory based » laboratory values (Expand Search), laboratory data (Expand Search), laboratory tests (Expand Search)
binary risk » primary risk (Expand Search), dietary risk (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), wolf optimization (Expand Search)
based optimization » whale optimization (Expand Search)
laboratory based » laboratory values (Expand Search), laboratory data (Expand Search), laboratory tests (Expand Search)
binary risk » primary risk (Expand Search), dietary risk (Expand Search)
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Rapid Prediction of Chemical Ecotoxicity Through Genetic Algorithm Optimized Neural Network Models
Published 2020“…To reduce the manual tuning effort on optimal network architecture, a genetic algorithm is investigated to automatically search and configure the network architecture. …”
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Descriptive statistics of algorithms.
Published 2024“…Model of the brushless DC motor using a sensorless control strategy incorporated metaheuristic algorithms is simulated on MATLAB (Matrix Laboratory)/Simulink. …”
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Q-value of comparison of algorithms with WOA.
Published 2024“…Model of the brushless DC motor using a sensorless control strategy incorporated metaheuristic algorithms is simulated on MATLAB (Matrix Laboratory)/Simulink. …”
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p-values of comparison of algorithms with WOA.
Published 2024“…Model of the brushless DC motor using a sensorless control strategy incorporated metaheuristic algorithms is simulated on MATLAB (Matrix Laboratory)/Simulink. …”
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Development of a machine learning prognostic model for early prediction of scrub typhus progression at hospital admission based on clinical and laboratory features
Published 2025“…Eighteen objective clinical and laboratory features collected at admission were screened using various feature selection algorithms, and used to construct models based on six machine learning algorithms.…”
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Image 1_Development and validation of a blood biomarker-based model for differentiating stroke etiology in acute large vessel occlusion.tif
Published 2025“…Objective<p>Early differentiation of stroke etiology in acute large vessel occlusion stroke (LVOS) is crucial for optimizing endovascular treatment strategies. This study aimed to develop and validate a prediction model for pre-procedural etiological differentiation based on admission laboratory parameters.…”
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