بدائل البحث:
1_decoding algorithm » modeling algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
table 1_decoding » table 1_developing (توسيع البحث)
elements method » element method (توسيع البحث)
a learning » _ learning (توسيع البحث), e learning (توسيع البحث), q learning (توسيع البحث)
1_decoding algorithm » modeling algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
table 1_decoding » table 1_developing (توسيع البحث)
elements method » element method (توسيع البحث)
a learning » _ learning (توسيع البحث), e learning (توسيع البحث), q learning (توسيع البحث)
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Algorithmic experimental parameter design.
منشور في 2024"…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…"
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Spatial spectrum estimation for three algorithms.
منشور في 2024"…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…"
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Mitochondrial toxic prediction of marine alga toxins using a predictive model based on feature coupling and ensemble learning algorithms
منشور في 2025"…By comparing 8 machine learning algorithms and using a weighted soft voting method to integrate the two optimal algorithms, we established 108 prediction models and identified the best ensemble learning model MACCS_LK for screening and defining its application domain. …"
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A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm.
منشور في 2025"…<p>The proposed algorithm approximates this relationship under the control of a single free-parameter (thick green line, κ = 0.25). …"
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Key gene identification based on two machine learning algorithms.
منشور في 2025"…<b>(E)</b> Venn diagrams of hub genes screened by two machine learning algorithms.</p>…"
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Results of machine learning algorithm.
منشور في 2024"…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"
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Types of machine learning algorithms.
منشور في 2024"…Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.</p><p>Materials and methods</p><p>This study used the latest nationally representative cross-sectional Bangladesh demographic health survey (BDHS), 2017–18 data. …"
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Performance of the machine learning algorithms.
منشور في 2025"…<div><p>Introduction</p><p>Hypertension is a leading contributor to maternal and cardiometabolic morbidity in Bangladesh. …"
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Performance of the machine learning algorithms.
منشور في 2025"…<div><p>Introduction</p><p>Hypertension is a leading contributor to maternal and cardiometabolic morbidity in Bangladesh. …"
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