%0 Conference Paper %1 conf/icc/GuoZZ23 %A Guo, Hongtai %A Zhou, Zhangbing %A Zhao, Deng %B ICC %D 2023 %I IEEE %K dblp %P 2492-2497 %T GNN-Based Energy-Efficient Anomaly Detection for IoT Multivariate Time-Series Data. %U http://dblp.uni-trier.de/db/conf/icc/icc2023.html#GuoZZ23 %@ 978-1-5386-7462-8

@inproceedings{conf/icc/GuoZZ23, added-at = {2023-11-02T00:00:00.000+0100}, author = {Guo, Hongtai and Zhou, Zhangbing and Zhao, Deng}, biburl = {https://www.bibsonomy.org/bibtex/2bb7db6f8d92f80f3f71af88eeb0626f1/dblp}, booktitle = {ICC}, crossref = {conf/icc/2023}, ee = {https://doi.org/10.1109/ICC45041.2023.10278988}, interhash = {5a555d15b2bc7e81254c4888548ba25e}, intrahash = {bb7db6f8d92f80f3f71af88eeb0626f1}, isbn = {978-1-5386-7462-8}, keywords = {dblp}, pages = {2492-2497}, publisher = {IEEE}, timestamp = {2024-04-09T13:26:14.000+0200}, title = {GNN-Based Energy-Efficient Anomaly Detection for IoT Multivariate Time-Series Data.}, url = {http://dblp.uni-trier.de/db/conf/icc/icc2023.html#GuoZZ23}, year = 2023 }