بدائل البحث:
surveys optimization » stress optimization (توسيع البحث), surface optimization (توسيع البحث), process optimization (توسيع البحث)
art optimization » swarm optimization (توسيع البحث), after optimization (توسيع البحث), path optimization (توسيع البحث)
based surveys » based survey (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
based art » based care (توسيع البحث)
surveys optimization » stress optimization (توسيع البحث), surface optimization (توسيع البحث), process optimization (توسيع البحث)
art optimization » swarm optimization (توسيع البحث), after optimization (توسيع البحث), path optimization (توسيع البحث)
based surveys » based survey (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
based art » based care (توسيع البحث)
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Calibration curves for the test set of four models.
منشور في 2025الموضوعات: "…retirement longitudinal survey…"
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ROC curves for the test set of four models.
منشور في 2025الموضوعات: "…retirement longitudinal survey…"
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Display of the web prediction interface.
منشور في 2025الموضوعات: "…retirement longitudinal survey…"
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Performance metrics of the models on the training and test set.
منشور في 2025الموضوعات: "…retirement longitudinal survey…"
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Analysis and design of algorithms for the manufacturing process of integrated circuits
منشور في 2023"…The (approximate) solution proposals of state-of-the-art methods include rule-based approaches, genetic algorithms, and reinforcement learning. …"
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datasheet1_Graph Neural Networks for Maximum Constraint Satisfaction.pdf
منشور في 2021"…Despite being generic, we show that our approach matches or surpasses most greedy and semi-definite programming based algorithms and sometimes even outperforms state-of-the-art heuristics for the specific problems.…"
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Supplementary file 1_Comparative evaluation of fast-learning classification algorithms for urban forest tree species identification using EO-1 hyperion hyperspectral imagery.docx
منشور في 2025"…</p>Methods<p>Thirteen supervised classification algorithms were comparatively evaluated, encompassing traditional spectral/statistical classifiers—Maximum Likelihood, Mahalanobis Distance, Minimum Distance, Parallelepiped, Spectral Angle Mapper (SAM), Spectral Information Divergence (SID), and Binary Encoding—and machine learning algorithms including Decision Tree (DT), K-Nearest Neighbor (KNN), Support Vector Machine (SVM), Random Forest (RF), and Artificial Neural Network (ANN). …"
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Data_Sheet_1_Prediction of Mental Health in Medical Workers During COVID-19 Based on Machine Learning.ZIP
منشور في 2021"…In this study, we propose a novel prediction model based on optimization algorithm and neural network, which can select and rank the most important factors that affect mental health of medical workers. …"