An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM

Research article (Scientific Reports, 2024) · cited 42× · AI/ML
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An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM

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An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-effective-method-for-anomaly-detection-in-industrial-internet-of-things-using-xgboost-and-lstm
MLA “An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-effective-method-for-anomaly-detection-in-industrial-internet-of-things-using-xgboost-and-lstm.
BibTeX @misc{4ortxyz_an-effective-method-for-anomaly-detection-in-industrial-internet-of-things-using-xgboost-and-lstm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM}}, year = {2026}, url = {https://4ort.xyz/entity/an-effective-method-for-anomaly-detection-in-industrial-internet-of-things-using-xgboost-and-lstm}, note = {Accessed: 2026-05-24}}
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