بدائل البحث:
bayesian optimization » based optimization (توسيع البحث)
based detection » case detection (توسيع البحث), rapid detection (توسيع البحث), cancer detection (توسيع البحث)
primary data » primary care (توسيع البحث)
a bayesian » _ bayesian (توسيع البحث)
data based » data used (توسيع البحث)
binary a » binary _ (توسيع البحث), binary b (توسيع البحث), hilary a (توسيع البحث)
bayesian optimization » based optimization (توسيع البحث)
based detection » case detection (توسيع البحث), rapid detection (توسيع البحث), cancer detection (توسيع البحث)
primary data » primary care (توسيع البحث)
a bayesian » _ bayesian (توسيع البحث)
data based » data used (توسيع البحث)
binary a » binary _ (توسيع البحث), binary b (توسيع البحث), hilary a (توسيع البحث)
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Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things
منشور في 2025"…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …"
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Receiver Operating Characteristic Curve (ROC) for clinical and dermoscopic images algorithms.
منشور في 2021الموضوعات: -
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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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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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