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 …

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 …

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 …

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 …

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 …

Providing online adaptive lightweight time series anomaly detection without human
intervention and domain knowledge is highly valuable. Several such anomaly detection …

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 …

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 …

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 …

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 …