RePAD2: Real-Time Lightweight Adaptive Anomaly Detection for Open-Ended Time Series-Reference-Cited by-同舟云学术

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RePAD2: Real-Time Lightweight Adaptive Anomaly Detection for Open-Ended Time Series

Published:2023 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 8th International Conference on Internet of Things, Big Data and Security
language:
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Author:

Lee Ming-Chang¹,Lin Jia-Chun²

Affiliation:

1. Department of Computer science, Electrical engineering and Mathematical Sciences, Høgskulen på Vestlandet (HVL), Bergen, Norway, --- Select a Country ---

2. Department of Information Security and Communication Technology, Norwegian University of Science and Technology (NTNU), Gjøvik, Norway, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 3 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. Predicting Conflict Zones on Terrestrial Routes of Automated Guided Vehicles with Fuzzy Querying on Apache Kafka;2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA);2023-10-09

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