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

Artificial intelligence (AI) contributes to the recent developments in Industry 4.0. Industries
are focusing on improving product consistency, productivity and reducing operating costs …

Research background: With growing evidence of consumer adoption of mobile shopping
apps, there is a pivotal need for comprehending Internet-enabled consumer devices in …

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 the operational performance of cyber-physical manufacturing
systems, there is a pivotal need for comprehending sustainable, smart, and sensing …

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 objectives of this paper, and the novelty brought to the topic of the Industry 4.0
manufacturing systems, are related to the integration of computer vision algorithms, 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 …

Industry 4.0 integrates smart and connected production systems that are pivotal in predicting
and supporting production in real-time, leading to sustainable organizational performance …

Empirical evidence on sustainable organizational performance, cyber-physical production
networks, and deep learning-assisted smart process planning in Industry 4.0-based …