Search alternatives:
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
light processing » signal processing (Expand Search), time processing (Expand Search)
using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
each algorithm » search algorithm (Expand Search), means algorithm (Expand Search)
element each » element data (Expand Search), element mesh (Expand Search)
models using » model using (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
light processing » signal processing (Expand Search), time processing (Expand Search)
using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
each algorithm » search algorithm (Expand Search), means algorithm (Expand Search)
element each » element data (Expand Search), element mesh (Expand Search)
models using » model using (Expand Search)
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The Search process of the genetic algorithm.
Published 2024“…The results show: (1) Random oversampling, ADASYN, SMOTE, and SMOTEENN were used for data balance processing, among which SMOTEENN showed better efficiency and effect in dealing with data imbalance. (2) The GA-XGBoost model optimized the hyperparameters of the XGBoost model through a genetic algorithm to improve the model’s predictive accuracy. …”
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The run time for each algorithm in seconds.
Published 2025“…In particular, we examine Autoregressive AR(1) vector autoregressive processes, which are commonly found in time-series applications. Finally, we use the Laplace approximation to determine a lower bound for the out-of-sample prediction error and derive a scalable expression for the marginal variance of each prediction. …”
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Genetic algorithm flowchart.
Published 2024“…The results show: (1) Random oversampling, ADASYN, SMOTE, and SMOTEENN were used for data balance processing, among which SMOTEENN showed better efficiency and effect in dealing with data imbalance. (2) The GA-XGBoost model optimized the hyperparameters of the XGBoost model through a genetic algorithm to improve the model’s predictive accuracy. …”
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Genetic algorithm iteration data chart.
Published 2024“…The results show: (1) Random oversampling, ADASYN, SMOTE, and SMOTEENN were used for data balance processing, among which SMOTEENN showed better efficiency and effect in dealing with data imbalance. (2) The GA-XGBoost model optimized the hyperparameters of the XGBoost model through a genetic algorithm to improve the model’s predictive accuracy. …”
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Schematic diagram of the equalizer equivalent model.
Published 2024Subjects: “…adaptive equalization algorithm…”
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YOLOv5 algorithm structure.
Published 2025“…The system designed to collect the image of the droplet side cross-section with a Charge charge-coupled device (CCD) industrial camera, is aided by the computer image processing system used to analyze and process the collected images. …”
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IRS-assisted system model.
Published 2025“…In contrast, the SBF algorithm adjusts the IRS elements using single-bit feedback. …”