In the industrial internet of things (IIoT), because thousands of pieces of hardware,
instruments, and various controllers are involved, the core problem is the sensors. Detection …

With the development of big data analysis technologies and the utilization of sensor data
through Internet of Things (IoT) and wireless sensor networks (WSNs), users can easily …

In recent years, the evolving Internet of Things (IoT) technology has been widely used in
various industrial scenarios, whereby massive sensor data involving both normal data and …

Industrial anomaly detection, which relies on the analysis of industrial internet of things (IIoT)
sensor data, is a critical element for guaranteeing the quality and safety of industrial …

The Internet of Things (IoT) has gained significant recognition to become a novel sensing
paradigm to interact with the physical world in this Industry 4.0 era. The IoTs are being used …

Aiming at the anomaly detection problem in sensor data, traditional algorithms usually only
focus on the continuity of single‐source data and ignore the spatiotemporal correlation …

Outlier detection in sensor data has recently gained significant recognition, particularly with
the proliferation of wireless sensor networks (WSNs) and the Internet of Things (IoT). Several …

Aiming at solving network delay caused by large chunks of data in industrial Internet of
Things, a data compression algorithm based on edge computing is creatively put forward in …

The Internet of Things, or IoT, has been widely recognized as a new perception paradigm for
interacting between the digital world and the physical one. Acting as the interface and …

The emerging centralized entities, like cloud, edge, or Software-Defined Network (SDN),
make automated decisions for the Internet of Things (IoT) applications based on the …