Differential evolution-based convolutional neural networks: An automatic architecture design method for intrusion detection in industrial control systems

Research article (Computers & Security, 2023) · cited 56× · AI/ML
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Differential evolution-based convolutional neural networks: An automatic architecture design method for intrusion detection in industrial control systems

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Differential evolution-based convolutional neural networks: An automatic architecture design method for intrusion detection in industrial control systems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Differential evolution-based convolutional neural networks: An automatic architecture design method for intrusion detection in industrial control systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/differential-evolution-based-convolutional-neural-networks-an-automatic-architecture-design-method-for-intrusion-detecti
MLA “Differential evolution-based convolutional neural networks: An automatic architecture design method for intrusion detection in industrial control systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/differential-evolution-based-convolutional-neural-networks-an-automatic-architecture-design-method-for-intrusion-detecti.
BibTeX @misc{4ortxyz_differential-evolution-based-convolutional-neural-networks-an-automatic-architecture-design-method-for-intrusion-detecti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Differential evolution-based convolutional neural networks: An automatic architecture design method for intrusion detection in industrial control systems}}, year = {2026}, url = {https://4ort.xyz/entity/differential-evolution-based-convolutional-neural-networks-an-automatic-architecture-design-method-for-intrusion-detecti}, note = {Accessed: 2026-05-24}}
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