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We draw on a substantial body of theoretical and empirical research
on smart factory performance, cognitive automation, and industrial big data
analytics in sustainable manufacturing Internet of Things, and to explore this, we
inspected, used, and replicated survey data from BDV, EEF, LNS...
This paper analyzes the outcomes of an exploratory review of
the current research on sustainable industrial big data, automated production processes,
and smart networked factories in cyber-physical system-based manufacturing.
The data used for this study was obtained and replicated from previous...
This article presents an empirical study carried out to evaluate and
analyze Internet of Things sensing networks, artificial intelligence-based decisionmaking
algorithms, and real-time process monitoring in sustainable Industry 4.0.
Building our argument by drawing on data collected from...
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 networks, and digitized mass production in cyberphysical
smart manufacturing. Using and replicating data from...
Employing recent research results covering Internet of Things-based
real-time production logistics, big data-driven decision-making processes, and
industrial artificial intelligence in sustainable cyber-physical manufacturing systems,
and building my argument by drawing on data collected from...
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