With the widespread adoption of the Internet of Things (IoT), the number of connected
devices is growing at an exponential rate, which is contributing to ever-increasing, massive …

In recent years, the analysis and synthesis of fuzzy-model-based nonlinear networked
control systems (NCSs) have received increasing attention from both scientific and industrial …

We present a transformer-based image anomaly detection and localization network. Our
proposed model is a combination of a reconstruction-based approach and patch …

We are seeing an enormous increase in the availability of streaming, time-series data.
Largely driven by the rise of connected real-time data sources, this data presents technical …

The data generated by millions of sensors in the industrial Internet of Things (IIoT) are
extremely dynamic, heterogeneous, and large scale and pose great challenges on the real …

Smart Grid (SG) is a multidisciplinary concept related to the power system update and
improvement. SG implies real-time information with specific communication requirements …

In this paper, we provide a review of the research dedicated to applications of data science
techniques, and especially machine learning techniques, in relevant agricultural systems …

The world is witnessing an unprecedented growth of cyber-physical systems (CPS), which
are foreseen to revolutionize our world via creating new services and applications in a …

Wireless sensor networks (WSN) are fundamental to the Internet of Things (IoT) by bridging
the gap between the physical and the cyber worlds. Anomaly detection is a critical task in …

Information and communication technologies are permeating all aspects of industrial and
manufacturing systems, expediting the generation of large volumes of industrial data. This …