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

The vision of Industry 4.0, otherwise known as the fourth industrial revolution, is the
integration of massively deployed smart computing and network technologies in industrial …

With the rapid development of Internet of things devices and network infrastructure, there
have been a lot of sensors adopted in the industrial productions, resulting in a large size of …

The Industrial Internet of Things (IIoT) brings together many sensors, machines, industrial
applications, databases, services, and people at work. The IIoT is improving our lives in …

As a typical application of the Internet of Things (IoT), the Industrial IoT (IIoT) connects all the
related IoT sensing and actuating devices ubiquitously so that the monitoring and control of …

Reducing energy consumption is a vital and challenging problem for the edge computing
devices since they are always energy-limited. To tackle this problem, a deep Q-learning …

This survey gives a comprehensive overview of tensor techniques and applications in
machine learning. Tensor represents higher order statistics. Nowadays, many applications …

Efficient modeling of high-dimensional data requires extracting only relevant dimensions
through feature learning. Unsupervised feature learning has gained tremendous attention …

Cyber–physical–social systems (CPSS), an emerging cross-disciplinary research area,
combines cyber–physical systems (CPS) with social networking for the purpose of providing …

Tensors are popular and versatile tools which model multidimensional data. Tensor
decomposition has emerged as a powerful technique dealing with multidimensional data …