An effective convolutional neural network based on SMOTE and Gaussian mixture model for intrusion detection in imbalanced dataset

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An effective convolutional neural network based on SMOTE and Gaussian mixture model for intrusion detection in imbalanced dataset

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An effective convolutional neural network based on SMOTE and Gaussian mixture model for intrusion detection in imbalanced dataset is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An effective convolutional neural network based on SMOTE and Gaussian mixture model for intrusion detection in imbalanced dataset. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-effective-convolutional-neural-network-based-on-smote-and-gaussian-mixture-model-for-intrusion-detection-in-imbalance
MLA “An effective convolutional neural network based on SMOTE and Gaussian mixture model for intrusion detection in imbalanced dataset.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-effective-convolutional-neural-network-based-on-smote-and-gaussian-mixture-model-for-intrusion-detection-in-imbalance.
BibTeX @misc{4ortxyz_an-effective-convolutional-neural-network-based-on-smote-and-gaussian-mixture-model-for-intrusion-detection-in-imbalance_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An effective convolutional neural network based on SMOTE and Gaussian mixture model for intrusion detection in imbalanced dataset}}, year = {2026}, url = {https://4ort.xyz/entity/an-effective-convolutional-neural-network-based-on-smote-and-gaussian-mixture-model-for-intrusion-detection-in-imbalance}, note = {Accessed: 2026-05-24}}
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