Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.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}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM — https://4ort.xyz/entity/an-effective-method-for-anomaly-detection-in-industrial-internet-of-things-using-xgboost-and-lstm (retrieved 2026-05-24)