Anomaly detection model based on gradient boosting and decision tree for IoT environments security

Research article (Journal of Reliable Intelligent Environments, 2022) · cited 49× · AI/ML
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Anomaly detection model based on gradient boosting and decision tree for IoT environments security

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Anomaly detection model based on gradient boosting and decision tree for IoT environments security is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Anomaly detection model based on gradient boosting and decision tree for IoT environments security. Retrieved May 24, 2026, from https://4ort.xyz/entity/anomaly-detection-model-based-on-gradient-boosting-and-decision-tree-for-iot-environments-security
MLA “Anomaly detection model based on gradient boosting and decision tree for IoT environments security.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/anomaly-detection-model-based-on-gradient-boosting-and-decision-tree-for-iot-environments-security.
BibTeX @misc{4ortxyz_anomaly-detection-model-based-on-gradient-boosting-and-decision-tree-for-iot-environments-security_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Anomaly detection model based on gradient boosting and decision tree for IoT environments security}}, year = {2026}, url = {https://4ort.xyz/entity/anomaly-detection-model-based-on-gradient-boosting-and-decision-tree-for-iot-environments-security}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Anomaly detection model based on gradient boosting and decision tree for IoT environments security — https://4ort.xyz/entity/anomaly-detection-model-based-on-gradient-boosting-and-decision-tree-for-iot-environments-security (retrieved 2026-05-24)

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