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

1 March 2023

Papers citing "RePAD2: Real-Time, Lightweight, and Adaptive Anomaly Detection for Open-Ended Time Series"

6 / 6 papers shown

Title
Exploring the impact of Optimised Hyperparameters on Bi-LSTM-based Contextual Anomaly Detector Aafan Ahmad Toor Jia-Chun Lin Ernst Gunnar Gran 36 0 0 28 Jan 2025
Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-time Lightweight Time Series Anomaly Detection Ming-Chang Lee Jia-Chun Lin Sokratis K. Katsikas AI4TS 27 2 0 26 Jul 2024
GAD: A Real-time Gait Anomaly Detection System with Online Adaptive Learning Ming-Chang Lee Jia-Chun Lin Sokratis K. Katsikas 36 0 0 04 May 2024
Evaluation of k-means time series clustering based on z-normalization and NP-Free Ming-Chang Lee Jia-Chun Lin Volker Stolz AI4TS 22 0 0 28 Jan 2024
RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series Ming-Chang Lee Jia-Chun Lin AI4TS 22 7 0 25 May 2023
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection Ming-Chang Lee Jia-Chun Lin AI4TS 22 2 0 30 Apr 2023