Anomaly detection has recently been applied to various areas, and several techniques
based on deep learning have been proposed for the analysis of multivariate time series. In …

Now a day's manufacturing has become more intelligent and data-driven. A smart
production unit can be thought of as a powerful connected industrial system with materials …

Abstract Industrial Internet of Things (IIoT) acts as essential part of the revolutionary
transition of conventional industries towards Industry 4.0. By the integration of instruments …

The fourth industrial revolution (Industry 4.0) has the potential to provide real-time, secure,
and autonomous manufacturing environments. The Industrial Internet of Things (IIoT) is a …

Based on an in-depth survey of the literature, the purpose of the paper is to explore artificial
intelligence data-driven Internet of Things systems, sustainable Industry 4.0 wireless …

Artificial-intelligence-based algorithms are used in manufacturing to automate difficult
activities and discover workflow or process patterns that had never been noticed before …

Reliable fault detection is an essential requirement for safe and efficient operation of
mechanical systems in various industrial applications. As machine complexity increases, the …

This paper introduces a novel framework for identifying a group of intrusions in the context of
the Internet of Things (IoT). It combines both deep learning and decomposition. A set of data …

The main motivation of the Internet of Things (IoT) is to enable everyday physical objects to
sense and process data and communicate with other objects. Its applications in industry are …

The new generation of intelligent manufacturing systems requires a deep integration of
human-cyber-physical spaces. Visual analytics plays a critical role in effectively navigating …