The integration of ML-driven cybersecurity frameworks into financial institutions is an ongoing process, requiring continuous ...

Chen, Z. (2025) Research on Prospecting Prediction Method Based on Multi-Source Remote Sensing Images —A Case Study of ...

The performance is estimated using three different classifiers: support vector machine (SVM), K-nearest neighbor (KNN), and linear discriminant analysis (LDA). For gait event identifications, the ...

Various machine-learning methods, including SVM, DT, and KNN, were used for the diagnosis of potassium deficiency. Results: The MLR-LDA-SVM model was found to be the optimal model based on ...

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Five algorithms (DTA, KNN, SVM, RF, XGBoost) were compared, with XGBoost based on multiple logistic regression showing the best performance (AUC: 0.784, accuracy: 80.4%). Key variables influencing ...

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After hours: March 14 at 7:55:39 PM EDT Loading Chart for SVM ...