بدائل البحث:
based optimization » whale optimization (توسيع البحث)
ii optimization » ai optimization (توسيع البحث), ivy optimization (توسيع البحث), _ optimization (توسيع البحث)
binary levels » urinary levels (توسيع البحث), binary labels (توسيع البحث), injury levels (توسيع البحث)
levels based » level based (توسيع البحث), models based (توسيع البحث), cells based (توسيع البحث)
class ii » class c (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
ii optimization » ai optimization (توسيع البحث), ivy optimization (توسيع البحث), _ optimization (توسيع البحث)
binary levels » urinary levels (توسيع البحث), binary labels (توسيع البحث), injury levels (توسيع البحث)
levels based » level based (توسيع البحث), models based (توسيع البحث), cells based (توسيع البحث)
class ii » class c (توسيع البحث)
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<i>hi</i>PRS algorithm process flow.
منشور في 2023"…<p><b>(A)</b> Input data is a list of genotype-level SNPs. <b>(B)</b> Focusing on the positive class only, the algorithm exploits FIM (<i>apriori</i> algorithm) to build a list of candidate interactions of any desired order, retaining those that have an empirical frequency above a given threshold <i>δ</i>. …"
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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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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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ROC curve for binary classification.
منشور في 2024"…<div><p>This study aims to develop an optimally performing convolutional neural network to classify Alzheimer’s disease into mild cognitive impairment, normal controls, or Alzheimer’s disease classes using a magnetic resonance imaging dataset. …"
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Confusion matrix for binary classification.
منشور في 2024"…<div><p>This study aims to develop an optimally performing convolutional neural network to classify Alzheimer’s disease into mild cognitive impairment, normal controls, or Alzheimer’s disease classes using a magnetic resonance imaging dataset. …"