بدائل البحث:
processing optimization » process optimization (توسيع البحث), process optimisation (توسيع البحث), routing optimization (توسيع البحث)
sample processing » image processing (توسيع البحث), waste processing (توسيع البحث), pre processing (توسيع البحث)
binary damage » binary image (توسيع البحث), binary data (توسيع البحث)
data sample » data samples (توسيع البحث)
processing optimization » process optimization (توسيع البحث), process optimisation (توسيع البحث), routing optimization (توسيع البحث)
sample processing » image processing (توسيع البحث), waste processing (توسيع البحث), pre processing (توسيع البحث)
binary damage » binary image (توسيع البحث), binary data (توسيع البحث)
data sample » data samples (توسيع البحث)
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Optimized process of the random forest algorithm.
منشور في 2023"…Then, a training set is randomly selected from known coal mine samples, and the training sample set is processed and analyzed using Matlab software. …"
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The weight optimization process.
منشور في 2025"…The dataset covers multiple tests of multiple athletes, ensuring the diversity of samples. Secondly, an optimized machine learning algorithm based on decision tree is adopted. …"
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AUW-CE Mining Algorithms & Dataset Hub
منشور في 2025"…By integrating a heuristic search mechanism, the algorithm can quickly converge to potential high utility patterns and effectively reduce redundant computational processes. …"
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The Search process of the genetic algorithm.
منشور في 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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Statistics of GI data processing using different algorithms at various input CTTDs.
منشور في 2025الموضوعات: -
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Statistics of HEWL data processing using different algorithms at various input CTTDs.
منشور في 2025الموضوعات: -
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Algorithm for generating hyperparameter.
منشور في 2024"…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"
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