The purpose of our systematic review is to examine the recently published literature on the
Internet of Manufacturing Things (IoMT), and integrate the insights it configures on deep …

With growing evidence of deep learning-assisted smart process planning, there is an
essential demand for comprehending whether cyber-physical production systems (CPPSs) …

The purpose of our systematic review was to inspect the recently published research on
Internet of Robotic Things (IoRT) and harmonize the assimilations it articulates on remote …

The objective of this systematic review was to analyze the recently published literature on
the Internet of Robotic Things (IoRT) and integrate the insights it articulates on big data …

This article reviews and advances existing literature concerning decision intelligence and
modeling, multisensory customer experiences, and socially interconnected virtual services …

Despite the relevance of virtual marketplace dynamics data, spatial analytics, and customer
engagement tools in a real-time interoperable decentralized metaverse, only limited …

The logistics sector plays one of the most important roles in the supply chain with the aim of
providing a fast, flexible, safe, economical, efficient, and environmentally acceptable …

The purpose of this study is to examine the virtual economy of the metaverse in terms of
computer vision and deep learning algorithms, customer engagement tools, and behavioral …

Social development organizations increasingly employ artificial intelligence (AI)-enabled
tools to help team members collaborate effectively and efficiently. These tools are used in …

The ongoing Industry 4.0 is characterized by the connectivity between components in the
manufacturing system. For modern machines, the Internet of Things is a built-in function. In …