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Feature-based enhanced boosting algorithm for depression detection
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Using Permutation-Based Feature Importance for Improved Machine Learning Model Performance at Reduced Costs
Published 2025-01-01“…These selected features were used to retrain the ML models without hyperparameters (default settings) to determine whether similar performance could be achieved at low computational cost. …”
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A Hybrid RBF-PSO Framework for Real-Time Temperature Field Prediction and Hydration Heat Parameter Inversion in Mass Concrete Structures
Published 2025-06-01“…The hybrid F<sub>3</sub>, incorporating Dynamic Time Warping (DTW) for elastic time alignment and feature penalties for engineering-critical metrics, achieved superior performance with a 74% reduction in the prediction error (mean MAE = 1.0 °C) and <2% parameter identification errors, resolving the phase mismatches inherent in F<sub>2</sub> and avoiding F<sub>1</sub>’s prohibitive computational costs (498 FEM calls). …”
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Bridging the Gap Between Computational Efficiency and Segmentation Fidelity in Object-Based Image Analysis
Published 2024-12-01“…Key features include adaptive object segmentation, efficient metadata creation, and scalability for real-time applications. …”
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Adaptive feature interaction enhancement network for text classification
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Detection of Pathogenic Microorganisms by Fusion of Recursive Feature Pyramid
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Drowsiness Detection in Drivers Using Facial Feature Analysis
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An improved electrocardiogram arrhythmia classification performance with feature optimization
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Visual information perception system of coal mine comprehensive excavation working face for edge computing terminal
Published 2024-10-01“…The experimental results show that on the edge computing terminal platform, the parameters and computational volume of the lightweight FSBD‐YOLOv5s model are reduced by 50.8% and 34.0%, while its detection accuracy and speed reach 94.0% and 43.7 fps, which can fully satisfy the requirements of the accuracy and real‐time for the coal mine engineering applications.…”
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A comparison of mantle convection models featuring plates
Published 2014-06-01“…To allow plate behavior to arise naturally in numerical mantle convection models, self‐consistent plate generation methods apply a fully rheological approach (featuring a temperature‐, pressure‐ and stress‐dependent viscosity). …”
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HiEE: Hierarchical feature fusion for Chinese event extraction
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Composite cardiac computed tomography angiography score for improved risk assessment in chronic coronary syndromes
Published 2025-01-01“…Abstract Agatston score, the degree of lumen narrowing categorized by CAD-RADS, high-risk atherosclerotic plaque features and pericoronary adipose tissue attenuation (PCAT) are parameters, which can be assessed non-invasively by coronary computed tomography angiography (CCTA) and aid risk stratification in patients with chronic coronary syndromes (CCS). …”
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Multiscale Feature Fusion Attention Lightweight Facial Expression Recognition
Published 2022-01-01“…The use of a modified depthwise separable convolution in the feature extraction network reduces the computational effort associated with the network parameters and enhances the characterization of the extracted features through a channel shuffle operation. …”
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