Liang-Sian Lin, Zhi-yu Chen, Yu Wang, Li Wei-jiang. Improving Anomaly Detection in IoT-Based Solar Energy System Using SMOTE-PSO and SVM Model. In Kim Jon-Lark, editor, Machine Learning and Artificial Intelligence - Proceedings of MLIS 2022, Virtual Event, Korea, 8-11 November 2022. Volume 360 of Frontiers in Artificial Intelligence and Applications, pages 123-131, IOS Press, 2022. [doi]
@inproceedings{LinCWJ22,
title = {Improving Anomaly Detection in IoT-Based Solar Energy System Using SMOTE-PSO and SVM Model},
author = {Liang-Sian Lin and Zhi-yu Chen and Yu Wang and Li Wei-jiang},
year = {2022},
doi = {10.3233/FAIA220434},
url = {https://doi.org/10.3233/FAIA220434},
researchr = {https://researchr.org/publication/LinCWJ22},
cites = {0},
citedby = {0},
pages = {123-131},
booktitle = {Machine Learning and Artificial Intelligence - Proceedings of MLIS 2022, Virtual Event, Korea, 8-11 November 2022},
editor = {Kim Jon-Lark},
volume = {360},
series = {Frontiers in Artificial Intelligence and Applications},
publisher = {IOS Press},
isbn = {978-1-64368-357-7},
}