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Improving Attack Detection in IoV with Class Balancing and Feature Selection
Published 2025-03-01“…The ensemble algorithms evaluated in this research comprise Random Forest, Gradient Boosting, and XGBoost. …”
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AN INTELLIGENT POSTOPERATIVE CHRONIC PAIN PREDICTION SYSTEM (I-POCPP)
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Combined L-Band Polarimetric SAR and GPR Data to Develop Models for Leak Detection in the Water Pipeline Networks
Published 2025-04-01“…The model features are selected with the Boruta wrapper algorithm based on the SAOCOM-1A images after pre-processing, and the SSRDC values at sampling locations within the research area are calculated with the reflected wave method based on the GPR data. …”
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Enhancing Tire Condition Monitoring through Weightless Neural Networks Using MEMS-Based Vibration Signals
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Hybrid Model for 6G Network Traffic Prediction and Wireless Resource Optimization
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Eco-Driving Level Evaluation Model for Electric Buses Entering and Leaving Stops
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Hierarchical Classification of Variable Stars Using Deep Convolutional Neural Networks
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AI-powered IoT and UAV systems for real-time detection and prevention of illegal logging
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Development and Validation of DIANA (Diabetes Novel Subgroup Assessment tool): A web-based precision medicine tool to determine type 2 diabetes endotype membership and predict indi...
Published 2025-08-01“…Its performance was compared with an algorithm determined based on conditional pre-determined cut-offs and weights for each clinical feature [age at diagnosis, BMI, waist, HbA1c, Serum Triglycerides, HDL-Cholesterol, (C-peptide fasting, C-peptide stimulated) - optional. …”
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Rapid and accurate multi-phenotype imputation for millions of individuals
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SVM-Based Spectrum Mobility Prediction Scheme in Mobile Cognitive Radio Networks
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Differentiation of Soybean Genotypes Concerning Seed Physiological Quality Using Hyperspectral Bands
Published 2024-12-01“…The experiment was conducted during the 2021/2022 harvest at the Federal University of Mato Grosso do Sul in a randomized block design with four replicates and 10 F3 soybean populations (G1, G8, G12, G15, G19, G21, G24, G27, G31, and G36). …”
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A toolkit for quantifying individual response to herbal extracts in metabolic and inflammatory stress
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