بدائل البحث:
solid optimization » policy optimization (توسيع البحث), wolf optimization (توسيع البحث), acid optimization (توسيع البحث)
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
primary data » primary care (توسيع البحث)
based solid » based solely (توسيع البحث), based social (توسيع البحث)
data model » data models (توسيع البحث)
solid optimization » policy optimization (توسيع البحث), wolf optimization (توسيع البحث), acid optimization (توسيع البحث)
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
primary data » primary care (توسيع البحث)
based solid » based solely (توسيع البحث), based social (توسيع البحث)
data model » data models (توسيع البحث)
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DATA.
منشور في 2025"…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …"
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The robustness test results of the model.
منشور في 2025"…Finally, an improved RF model is constructed by optimizing the parameters of the RF algorithm. …"
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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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Proposed CVAE model.
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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Flowchart of simple ant colony algorithm.
منشور في 2025"…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …"
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Segmentation results of the proposed model.
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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RNN performance comparison with/out optimization.
منشور في 2024"…Analytic approaches, both predictive and retrospective in nature, were used to interpret the data. Our primary objective was to determine the most effective model for predicting COVID-19 cases in the United Arab Emirates (UAE) and Malaysia. …"
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Construction process of RF.
منشور في 2025"…Finally, an improved RF model is constructed by optimizing the parameters of the RF algorithm. …"
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