بدائل البحث:
routing optimization » joint optimization (توسيع البحث), production optimization (توسيع البحث), learning optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
primary data » primary care (توسيع البحث)
data based » data used (توسيع البحث)
2 routing » _ routine (توسيع البحث), a routine (توسيع البحث)
binary 2 » binary _ (توسيع البحث), binary b (توسيع البحث)
routing optimization » joint optimization (توسيع البحث), production optimization (توسيع البحث), learning optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
primary data » primary care (توسيع البحث)
data based » data used (توسيع البحث)
2 routing » _ routine (توسيع البحث), a routine (توسيع البحث)
binary 2 » binary _ (توسيع البحث), binary b (توسيع البحث)
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Table_1_A scheduling route planning algorithm based on the dynamic genetic algorithm with ant colony binary iterative optimization for unmanned aerial vehicle spraying in multiple...
منشور في 2022"…Serial fusion is subsequently employed on the two algorithms to optimize the route planning for multi-regional operations. …"
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Features selected by optimization algorithms.
منشور في 2024"…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …"
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S1 Data -
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
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Parameter settings for algorithms.
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
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Parameter settings for algorithms.
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
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Average runtime of different algorithms.
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
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Average runtime of different algorithms.
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
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Flowchart of GJO-GWO algorithm.
منشور في 2024"…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
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Routing policy based on path satisfaction.
منشور في 2025"…These enhancements aim to achieve optimal routing scheduling based on risk information. …"
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Hybrid feature selection algorithm of CSCO-ROA.
منشور في 2024"…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …"
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FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology
منشور في 2024الموضوعات: -
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FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology
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FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology
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FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology
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FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology
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FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology
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FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology
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