In the rapidly evolving field of sensor technology, efficient and accurate anomaly detection is
critical across applications from environmental monitoring to cybersecurity. Traditional …

With the growth of IoT applications, sensor data quality has become increasingly important
to ensure the success of these data-driven applications. Sensor data riddled with errors are …

Anomaly detection is concerned with identifying data patterns that deviate remarkably from
the expected behavior. This is an important research problem, due to its broad set of …

In the expansive realm of the Internet of Things (IoT), ensuring the reliability of sensor data,
particularly in level sensing applications, is paramount. This research introduces a …

Wireless sensor systems aid scientific studies by instrumenting the real world and collecting
measurements. Given the large volume of measurements collected by sensor systems, one …

Anomaly detection is a critical task in many domains, including the Internet of Things (IoT),
where large volumes of sensor data are generated from various devices. Traditional …

Wireless Sensor Networks (WSNs) are important and necessary platforms for the future as
the concept “Internet of Things” has emerged lately. They are used for monitoring, tracking …

Large scale sensor networks are ubiquitous nowadays. An important objective of deploying
sensors is to detect anomalies in the monitored system or infrastructure, which allows …

Coming up with a system for early detection of machine damages and failures is one of the
important challenges in the industrial maintenance procedure to avoid additional costs and …

Anomaly detection of sensor data is a fundamental and active problem, it is involved in many
applications especially the Wireless Sensor Network (WSN) where we detect anomaly by …