بدائل البحث:
selection optimization » reaction optimization (توسيع البحث), generation optimization (توسيع البحث), function optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
based selection » based detection (توسيع البحث)
binary task » binary mask (توسيع البحث)
less based » lens based (توسيع البحث), lemos based (توسيع البحث), degs based (توسيع البحث)
task based » risk based (توسيع البحث)
selection optimization » reaction optimization (توسيع البحث), generation optimization (توسيع البحث), function optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
based selection » based detection (توسيع البحث)
binary task » binary mask (توسيع البحث)
less based » lens based (توسيع البحث), lemos based (توسيع البحث), degs based (توسيع البحث)
task based » risk based (توسيع البحث)
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Hyperparameter search space used in the optimization of the Basic DeepInsight-CNN.
منشور في 2023الموضوعات: -
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Proposed Algorithm.
منشور في 2025"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …"
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Comparisons between ADAM and NADAM optimizers.
منشور في 2025"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …"
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Demonstration of algorithm convergence.
منشور في 2025"…To maintain dynamic market equilibrium, we develop two types of pricing algorithms, one based on stepped price adjustments for selected sellers, and another based on smoothed adjustments for all sellers. …"
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KNN algorithm flowchart.
منشور في 2024"…In order to improve the efficiency and accuracy of high-dimensional data processing, a feature selection method based on optimized genetic algorithm is proposed in this study. …"
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MGA algorithm flowchart.
منشور في 2024"…In order to improve the efficiency and accuracy of high-dimensional data processing, a feature selection method based on optimized genetic algorithm is proposed in this study. …"
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The Pseudo-Code of the IRBMO Algorithm.
منشور في 2025"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"
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General procedural flow of clustering algorithm.
منشور في 2024"…The results show that AVOCA generates 40% less clusters when compared to the Clustering Algorithm Based on Moth-Flame Optimization for VANETs (CAMONET). …"