بدائل البحث:
results classification » fault classification (توسيع البحث), previous classification (توسيع البحث), risk classification (توسيع البحث)
data optimization » path optimization (توسيع البحث), dose optimization (توسيع البحث), art optimization (توسيع البحث)
class results » case results (توسيع البحث), blast results (توسيع البحث), blastn results (توسيع البحث)
class data » claims data (توسيع البحث)
results classification » fault classification (توسيع البحث), previous classification (توسيع البحث), risk classification (توسيع البحث)
data optimization » path optimization (توسيع البحث), dose optimization (توسيع البحث), art optimization (توسيع البحث)
class results » case results (توسيع البحث), blast results (توسيع البحث), blastn results (توسيع البحث)
class data » claims data (توسيع البحث)
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MSE for ILSTM algorithm in binary classification.
منشور في 2023"…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …"
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ROC curve for binary classification.
منشور في 2024"…The model further showed superior results on binary classification compared with existing methods. …"
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Confusion matrix for binary classification.
منشور في 2024"…The model further showed superior results on binary classification compared with existing methods. …"
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Class distribution for binary classes.
منشور في 2025"…RF achieved an average accuracy of 92.7% and an F1 score of 83.95% for binary classification, 90.36% and 90.1%, respectively, for the classification of three classes of severity of depression and 89.76% and 88.26%, respectively, for the classification of five classes. …"
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