Search alternatives:
yet optimization » art optimization (Expand Search), lead optimization (Expand Search), path optimization (Expand Search)
ii optimization » ai optimization (Expand Search), ivy optimization (Expand Search), _ optimization (Expand Search)
class ii » class c (Expand Search)
yet optimization » art optimization (Expand Search), lead optimization (Expand Search), path optimization (Expand Search)
ii optimization » ai optimization (Expand Search), ivy optimization (Expand Search), _ optimization (Expand Search)
class ii » class c (Expand Search)
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MSE for ILSTM algorithm in binary classification.
Published 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
Published 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.
Published 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.
Published 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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