بدائل البحث:
process optimization » model optimization (توسيع البحث)
stress optimization » step optimization (توسيع البحث), task optimization (توسيع البحث), surface optimization (توسيع البحث)
primary data » primary care (توسيع البحث)
data process » data processing (توسيع البحث), damage process (توسيع البحث), data access (توسيع البحث)
data stress » data streams (توسيع البحث)
process optimization » model optimization (توسيع البحث)
stress optimization » step optimization (توسيع البحث), task optimization (توسيع البحث), surface optimization (توسيع البحث)
primary data » primary care (توسيع البحث)
data process » data processing (توسيع البحث), damage process (توسيع البحث), data access (توسيع البحث)
data stress » data streams (توسيع البحث)
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Iteration curve of the optimization process.
منشور في 2025"…The load-bearing mechanism of the proposed steel platform was analyzed theoretically, and finite element analysis (FEA) was employed to evaluate the stresses and deflections of key members. A particle swarm optimization (PSO) algorithm was integrated with the FEA model to optimize the cross-sectional dimensions of the primary beams, secondary beams, and foundation boxes, achieving a balance between load-bearing capacity and cost efficiency. …"
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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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Construction process of RF.
منشور في 2025"…Following this, the FCM clustering algorithm is utilized for pre-processing sample data to improve the efficiency and accuracy of data classification. …"
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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
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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