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)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
data algorithms » art algorithms (Expand Search), all algorithms (Expand Search), both algorithms (Expand Search)
level coding » level according (Expand Search), level modeling (Expand Search), level 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)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
data algorithms » art algorithms (Expand Search), all algorithms (Expand Search), both algorithms (Expand Search)
level coding » level according (Expand Search), level modeling (Expand Search), level using (Expand Search)
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Goal relevance.
Published 2024“…They highlighted an important number of ethical issues which could be grouped into five overarching categories: goal relevance, adverse side effects, role of employees, data process, and vagueness. …”
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Data process.
Published 2024“…They highlighted an important number of ethical issues which could be grouped into five overarching categories: goal relevance, adverse side effects, role of employees, data process, and vagueness. …”
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PRISMA flowchart for the study selection process.
Published 2025Subjects: “…underlying degradation processes…”
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Illustration of the recursive objective space exploration process implemented by the ROSE algorithm.
Published 2025Subjects: -
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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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Comparison of RC signals for the three algorithms.
Published 2024Subjects: “…adaptive equalization algorithm…”
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