RoLA: A real-time online lightweight anomaly detection system for multivariate time series
MC Lee, JC Lin - arXiv preprint arXiv:2305.16509, 2023 - arxiv.org
A multivariate time series refers to observations of two or more variables taken from a device
or a system simultaneously over time. There is an increasing need to monitor multivariate …
or a system simultaneously over time. There is an increasing need to monitor multivariate …
Predicting Conflict Zones on Terrestrial Routes of Automated Guided Vehicles with Fuzzy Querying on Apache Kafka
B Małysiak-Mrozek, M Bas, V Sunderam… - 2023 IEEE 10th …, 2023 - ieeexplore.ieee.org
In today's world, smart factories are a coexisting element of smarticizing cities. Smart
manufacturing of today relies on the automation of many component tasks of the production …
manufacturing of today relies on the automation of many component tasks of the production …
Evaluation of k-means time series clustering based on z-normalization and NP-Free
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 …
exists a gap in the literature regarding its comprehensive evaluation with different time …
GAD: A Real-Time Gait Anomaly Detection System with Online Adaptive Learning
MC Lee, JC Lin, S Katsikas - … Conference on ICT Systems Security and …, 2024 - Springer
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 …
gait pattern. These deviations can indicate health issues and medical conditions in the …
An Explainable Deep Learning-based Approach for Multivariate Time Series Anomaly Detection in IoT
Detecting anomalies from Internet of Things (IoT) data is important for a smooth flow of
events. Timely detection of anomalies and raising alarms can help avoid any potential …
events. Timely detection of anomalies and raising alarms can help avoid any potential …
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection
MC Lee, JC Lin - arXiv preprint arXiv:2305.00595, 2023 - arxiv.org
Providing online adaptive lightweight time series anomaly detection without human
intervention and domain knowledge is highly valuable. Several such anomaly detection …
intervention and domain knowledge is highly valuable. Several such anomaly detection …
Real-Time Anomaly Detection in IoT Healthcare Devices With LSTM
N Varshney, P Madan, A Shrivastava… - … for Innovations in …, 2023 - ieeexplore.ieee.org
In this study, LSTM-based models are used to investigate real-time anomaly detection in IoT
healthcare equipment. The study demonstrates the way these models are incredibly …
healthcare equipment. The study demonstrates the way these models are incredibly …
UoCAD: An Unsupervised Online Contextual Anomaly Detection Approach for Multivariate Time Series from Smart Homes
In the context of time series data, a contextual anomaly is considered an event or action that
causes a deviation in the data values from the norm. This deviation may appear normal if we …
causes a deviation in the data values from the norm. This deviation may appear normal if we …
MIURA: Memory-efficient and Incrementally learning Unsupervised Real-time Anomaly detection for time series data
PB Johannessen, MW Johannessen - 2024 - ntnuopen.ntnu.no
Orange Business er en ledende leverandør av kritiske IT-løsninger og infrastruktur, og har
som mål å tilby omfattende sanntidsovervåking og analyse av ulike systemmålinger …
som mål å tilby omfattende sanntidsovervåking og analyse av ulike systemmålinger …
GAD: A Real-Time Gait Anomaly Detection System with Online Adaptive
MC Lee, JC Lin, S Katsikas - … Security and Privacy Protection: 39th IFIP … - books.google.com
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 …
gait pattern. These deviations can indicate health issues and medical conditions in the …