SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9529349/9529356/09529587.pdf?arnumber=9529587
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. GAD: A Real-Time Gait Anomaly Detection System with Online Adaptive Learning;IFIP Advances in Information and Communication Technology;2024
2. An Explainable Deep Learning-based Approach for Multivariate Time Series Anomaly Detection in IoT;2023 International Conference on Frontiers of Information Technology (FIT);2023-12-11
3. NP-Free: A Real-Time Normalization-free and Parameter-tuning-free Representation Approach for Open-ended Time Series;2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC);2023-06
4. RePAD2: Real-Time Lightweight Adaptive Anomaly Detection for Open-Ended Time Series;Proceedings of the 8th International Conference on Internet of Things, Big Data and Security;2023
5. A Survey of Statistical, Machine Learning, and Deep Learning-Based Anomaly Detection Techniques for Time Series;Communications in Computer and Information Science;2023
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