3 papers
cs.LG2024
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…
cs.LG2024
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…
eess.SP2024
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…