Attentive transformer deep learning algorithm for intrusion detection on IoT systems using automatic Xplainable feature selection

Research article (PLoS ONE, 2023) · cited 35× · AI/ML
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Attentive transformer deep learning algorithm for intrusion detection on IoT systems using automatic Xplainable feature selection

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Attentive transformer deep learning algorithm for intrusion detection on IoT systems using automatic Xplainable feature selection is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Attentive transformer deep learning algorithm for intrusion detection on IoT systems using automatic Xplainable feature selection. Retrieved May 24, 2026, from https://4ort.xyz/entity/attentive-transformer-deep-learning-algorithm-for-intrusion-detection-on-iot-systems-using-automatic-xplainable-feature-
MLA “Attentive transformer deep learning algorithm for intrusion detection on IoT systems using automatic Xplainable feature selection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/attentive-transformer-deep-learning-algorithm-for-intrusion-detection-on-iot-systems-using-automatic-xplainable-feature-.
BibTeX @misc{4ortxyz_attentive-transformer-deep-learning-algorithm-for-intrusion-detection-on-iot-systems-using-automatic-xplainable-feature-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Attentive transformer deep learning algorithm for intrusion detection on IoT systems using automatic Xplainable feature selection}}, year = {2026}, url = {https://4ort.xyz/entity/attentive-transformer-deep-learning-algorithm-for-intrusion-detection-on-iot-systems-using-automatic-xplainable-feature-}, note = {Accessed: 2026-05-24}}
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