بدائل البحث:
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
under algorithm » new algorithm (توسيع البحث), tide algorithm (توسيع البحث), kepler algorithm (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
elements under » elements tended (توسيع البحث), sediments under (توسيع البحث), elements over (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
under algorithm » new algorithm (توسيع البحث), tide algorithm (توسيع البحث), kepler algorithm (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
elements under » elements tended (توسيع البحث), sediments under (توسيع البحث), elements over (توسيع البحث)
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Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli.
منشور في 2024"…<p>The average neuronal activity for each cluster of the Contact <b>(a)</b>, Rough <b>(b)</b> and Smooth stimulus <b>(c)</b> were determined using the Dirichlet Process Mixture Model (DPM) clustering algorithm. …"
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Algorithm used for the determination of the model parametric values.
منشور في 2024"…<p>Algorithm used for the determination of the model parametric values.…"
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The method for determining the chemical constituents of unknown materials in the algorithm.
منشور في 2025الموضوعات: -
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Feature selection using Boruta algorithm.
منشور في 2025"…Feature selection was performed using the Boruta algorithm and model performance was evaluated by comparing accuracy, precision, recall, F1 score, MCC, Cohen’s Kappa and AUROC.…"
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Pseudo code.
منشور في 2025"…The experiment was validated using project datasets covering different regions, scales, and types of prefabricated components. …"
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Data and code availability: Machine Learning on systematically curated data reveals key determinants of magnetic hyperthermia performance
منشور في 2025"…Twelve machine learning models were evaluated and refined using Bayesian hyperparameter optimization. The CatBoost algorithm emerged as the most effective model, achieving the lowest mean absolute error (20.92 W/g) and root mean squared error (39.41 W/g), along with a high coefficient of determination (R² = 0.98). …"
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