A review on deep learning in machining and tool monitoring: Methods, opportunities, and challenges
V Nasir, F Sassani - The International Journal of Advanced Manufacturing …, 2021 - Springer
Data-driven methods provided smart manufacturing with unprecedented opportunities to
facilitate the transition toward Industry 4.0–based production. Machine learning and deep …
facilitate the transition toward Industry 4.0–based production. Machine learning and deep …
Resilient machine learning for networked cyber physical systems: A survey for machine learning security to securing machine learning for CPS
Cyber Physical Systems (CPS) are characterized by their ability to integrate the physical and
information or cyber worlds. Their deployment in critical infrastructure have demonstrated a …
information or cyber worlds. Their deployment in critical infrastructure have demonstrated a …
A comprehensive survey on the Internet of Things with the industrial marketplace
There is no doubt that new technology has become one of the crucial parts of most people's
lives around the world. By and large, in this era, the Internet and the Internet of Things (IoT) …
lives around the world. By and large, in this era, the Internet and the Internet of Things (IoT) …
Manufacturing intelligent Corvus corone module for a secured two way image transmission under WSN
Purpose The manufacturing of intelligent and secure visual data transmission over the
wireless sensor network is key requirement nowadays to many applications. The two-way …
wireless sensor network is key requirement nowadays to many applications. The two-way …
Production plant and warehouse automation with IoT and industry 5.0
The Internet of Things (IoT) has been implemented by multiple manufacturing companies
into their production chain as this technology is the main source of digitalization in a …
into their production chain as this technology is the main source of digitalization in a …
Applying blockchain in industry 4.0 applications
By adopting the vision of Industry 4.0, many industrial sectors are eyeing the potential for
advancing their systems to achieve higher productivity, cost-effectiveness, reliability, quality …
advancing their systems to achieve higher productivity, cost-effectiveness, reliability, quality …
Blockchain for supply chain quality management: challenges and opportunities in context of open manufacturing and industrial internet of things
ABSTRACT In global Supply Chain Quality Management (SCQM), there are methods to
ensure continuity of supply, at appropriate prices while meeting quality standards. But they …
ensure continuity of supply, at appropriate prices while meeting quality standards. But they …
Leveraging the capabilities of industry 4.0 for improving energy efficiency in smart factories
Factories use many manufacturing processes that consume a lot of energy and highly
contribute to greenhouse gas emissions. The introduction of the concept of Industrial Internet …
contribute to greenhouse gas emissions. The introduction of the concept of Industrial Internet …
Exploring big data-driven innovation in the manufacturing sector: evidence from UK firms
Although innovation from analytics is surging in the manufacturing sector, the understanding
of the data-driven innovation (DDI) process remains a challenge. Drawing on a systematic …
of the data-driven innovation (DDI) process remains a challenge. Drawing on a systematic …
A systematic review of Internet of Things adoption in organizations: Taxonomy, benefits, challenges and critical factors
Despite the evident growth of the Internet of Things (IoT) applications, IoT deployments in
organizations remain in their early stages. This paper aims to systematically review and …
organizations remain in their early stages. This paper aims to systematically review and …