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modelling algorithm » modeling algorithm (Expand Search), processing algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
elements method » element method (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
modelling algorithm » modeling algorithm (Expand Search), processing algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
elements method » element method (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
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Risk distribution of stray current leakage evaluated along the entire subway line at 2022-02-15.
Published 2025Subjects: -
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Stray current corrosion on subway shield tunnel induced by insulation degradation of rail fasteners.
Published 2025Subjects: -
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Predictive Modeling of Yield Sooting Index Using Machine Learning with Uncertainty Estimation
Published 2025“…Remarkably, the genetic algorithm model outperformed the Gini importance model by effectively reducing autocorrelation among features, thereby enhancing the accuracy of predictions. …”
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4614
Ensemble modeling of aquatic plant invasions and economic cost analysis in China under climate change scenarios
Published 2024“…Compared to single prediction models, ensemble models that integrate multiple algorithms provide more accurate forecasts. …”
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4615
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Intelligent Diagnosis and Treatment Model Based on Clinical Data for Home Rehabilitation Management of Chronic Obstructive Pulmonary Disease
Published 2025“…The outcomes indicate that the XGBoost algorithm has the highest accuracy in processing clinical structured data, while the random forest (RF) algorithm has the lowest accuracy in processing clinical structured data. …”
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4617
Model’s initial predictive performance (N = 7).
Published 2025“…The CatBoost algorithm was used for prediction, with a two-stage data pruning approach to enhance accuracy. …”
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4618
Gibbs Sampling using Anti-correlation Gaussian Data Augmentation, with Applications to L1-ball-type Models
Published 2025“…Motivated to significantly accelerate the posterior computation, we propose a new data augmentation that leads to a fast block Gibbs sampling algorithm. …”
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4619
Sample size determination for multidimensional parameters and the A-optimal subsampling in a big data linear regression model
Published 2024“…<p>To efficiently approximate the least squares estimator (LSE) in a Big Data linear regression model using a subsampling approach, optimal sampling distributions were derived by minimizing the trace norm of the covariance matrix of a smooth function of the subsampling LSE. …”
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4620