بدائل البحث:
while optimization » whale optimization (توسيع البحث), chimp optimization (توسيع البحث), spider optimization (توسيع البحث)
data process » batch process (توسيع البحث), water process (توسيع البحث), due process (توسيع البحث)
binary data » binary rat (توسيع البحث)
binary a » binary rat (توسيع البحث)
while optimization » whale optimization (توسيع البحث), chimp optimization (توسيع البحث), spider optimization (توسيع البحث)
data process » batch process (توسيع البحث), water process (توسيع البحث), due process (توسيع البحث)
binary data » binary rat (توسيع البحث)
binary a » binary rat (توسيع البحث)
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A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm
منشور في 2023"…In this study, features were extracted from signals in time, frequency, and time–frequency domains. The t-test and the binary whale optimization algorithm (BWOA) were applied to choose the best features and train the support vector machine (SVM) model with validation and training data. …"
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Multiclass feature selection with metaheuristic optimization algorithms: a review
منشور في 2022"…Nevertheless, metaheuristic algorithms attract substantial attention to solving different problems in optimization. …"
احصل على النص الكامل
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A new genetic algorithm approach for unit commitment
منشور في 1997"…The former is solved using the proposed genetic algorithm while the latter problem is solved via a quadratic programming routine. …"
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احصل على النص الكامل
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A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns
منشور في 2023"…The important feature subset is identified using the modified Binary Grey Wolf Optimization Particle Swarm Optimization (BGWOPSO) algorithm. …"
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Learning-Based Automatic Modulation Classification
منشور في 2015احصل على النص الكامل
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Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes
منشور في 2025"…Feature selection was done using a Random Forest algorithm to identify the top 20 features for the SAH severity prediction. …"