36 citations · 118 across the 20 of their papers we have counts for
4 papers · 1 filter
Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-time Lightweight Time Series Anomaly Detection
Ming-Chang Lee, Jia-Chun Lin, Sokratis Katsikas
Real-time lightweight time series anomaly detection has become increasingly crucial in cybersecurity and many other domains. Its ability to adapt to unforeseen pattern changes and…
Investigating the Privacy Risk of Using Robot Vacuum Cleaners in Smart Environments
Benjamin Ulsmaag, Jia-Chun Lin, Ming-Chang Lee
Robot vacuum cleaners have become increasingly popular and are widely used in various smart environments. To improve user convenience, manufacturers also introduced smartphone appl…
GAD: A Real-time Gait Anomaly Detection System with Online Adaptive Learning
Ming-Chang Lee, Jia-Chun Lin, Sokratis Katsikas
Gait anomaly detection is a task that involves detecting deviations from a person's normal gait pattern. These deviations can indicate health issues and medical conditions in the h…
Evaluation of k-means time series clustering based on z-normalization and NP-Free
Ming-Chang Lee, Jia-Chun Lin, Volker Stolz
Despite the widespread use of k-means time series clustering in various domains, there exists a gap in the literature regarding its comprehensive evaluation with different time ser…