بدائل البحث:
selective algorithm » selection algorithm (توسيع البحث), detection algorithm (توسيع البحث), detection algorithms (توسيع البحث)
based selective » based selection (توسيع البحث), base selection (توسيع البحث), mixed selective (توسيع البحث)
selective algorithm » selection algorithm (توسيع البحث), detection algorithm (توسيع البحث), detection algorithms (توسيع البحث)
based selective » based selection (توسيع البحث), base selection (توسيع البحث), mixed selective (توسيع البحث)
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Research on Olympic medal prediction based on GA-BP and logistic regression model checklist
منشور في 2025"…By estimating the number of Olympic gold medals and total medals, verifying the accuracy of the model, and predicting the medal table for the 2028 Los Angeles Olympics. Meanwhile, based on the synthetic control model, Estonia and China were selected as research subjects to construct a virtual control group and two experimental groups for analysis.…"
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325
Different algorithms’ performance across 8 cores.
منشور في 2024"…<div><p>To address the instability and performance issues of the classical K-Means algorithm when dealing with massive datasets, we propose SOSK-Means, an improved K-Means algorithm based on Spark optimization. …"
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326
Different algorithms’ performance across 4 cores.
منشور في 2024"…<div><p>To address the instability and performance issues of the classical K-Means algorithm when dealing with massive datasets, we propose SOSK-Means, an improved K-Means algorithm based on Spark optimization. …"
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327
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328
F1-scores of anomaly detection algorithms.
منشور في 2025"…Under the framework of model averaging, this paper proposes a criterion for the selection of weights in the aggregation of multiple models, employing a focal loss function with Mallows’ form to assign weights to the base models. …"
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329
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Dataset 1: Zip file containing the figures of the presented methods and results in jpeg files
منشور في 2025الموضوعات: -
333
Reputation scores suitable for different healthcare settings based on analysis.
منشور في 2025الموضوعات: -
334
Twelve key risk factors for LBW identified by four feature selection techniques.
منشور في 2025الموضوعات: -
335
Interpretable QSAR modelling for immunotoxicity prediction using enhanced fingerprint and SHAP-based feature selection
منشور في 2025"…Three tree-based machine learning algorithms, in conjunction with robust feature selection techniques, were employed to identify critical molecular determinants associated with immunosuppressive effects. …"
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336
Flow diagram of the patient selection process.
منشور في 2024"…Finally, a unique double-layer stacking model is designed to improve the performance of the algorithm. Seven classical artificial intelligence methods of Logistic Regression (LR), Decision Tree (DT), Support Vector Machine (SVM), Random Forest (RF), Adaptive Boosting (ADB), Extra Tree (ET), and Gradient Boosting Decision Tree (GBDT) were selected as candidate models for the base model of the first layer of the model, and extreme gradient enhancement (XGBOOST) was selected as the meta-model for the second layer.…"
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337
Non-dominated flood management scenarios identified in the multi-objective decision space.
منشور في 2025الموضوعات: -
338
Relationship between NPV and main optimization objectives: cost of designing, SUFRI, and overflow.
منشور في 2025الموضوعات: -
339
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340