Deep learning-assisted smart process planning, robotic wireless sensor networks, and geospatial big data management algorithms in the internet of manufacturing …
G Lăzăroiu, M Andronie, M Iatagan… - … International Journal of …, 2022 - mdpi.com
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 …
Internet of Manufacturing Things (IoMT), and integrate the insights it configures on deep …
A survey on decision-making based on system reliability in the context of Industry 4.0
MLH Souza, CA da Costa, G de Oliveira Ramos… - Journal of Manufacturing …, 2020 - Elsevier
The business world is continually changing. Dynamic environments, full of uncertainties,
complexities, and ambiguities, demand faster and more confident decisions. To compete in …
complexities, and ambiguities, demand faster and more confident decisions. To compete in …
Big data and stream processing platforms for Industry 4.0 requirements mapping for a predictive maintenance use case
Industry 4.0 is considered to be the fourth industrial revolution introducing a new paradigm
of digital, autonomous, and decentralized control for manufacturing systems. Two key …
of digital, autonomous, and decentralized control for manufacturing systems. Two key …
[图书][B] Digital constitutionalism in Europe: Reframing rights and powers in the algorithmic society
G De Gregorio - 2022 - books.google.com
This book is about rights and powers in the digital age. It is an attempt to reframe the role of
constitutional democracies in the algorithmic society. By focusing on the European …
constitutional democracies in the algorithmic society. By focusing on the European …
Big data analytics for smart factories of the future
Continued advancement of sensors has led to an ever-increasing amount of data of various
physical nature to be acquired from production lines. As rich information relevant to the …
physical nature to be acquired from production lines. As rich information relevant to the …
Data Processing Technology in Choosing the Optimal Management Decision System
S Kniaz, V Brych, N Heorhiadi, Y Tyrkalo… - 2023 13th …, 2023 - ieeexplore.ieee.org
This research reveals the essence of the author's recommendations for improving data
processing technology in choosing the optimal management decision system. Based on the …
processing technology in choosing the optimal management decision system. Based on the …
There is no AI without data
C Gröger - Communications of the ACM, 2021 - dl.acm.org
There is no AI without data Page 1 98 COMMUNICATIONS OF THE ACM | NOVEMBER 2021 |
VOL. 64 | NO. 11 IMA GE B Y ALBER T O ANDREI ROSU, WITH ADDITIONAL IMA GER Y …
VOL. 64 | NO. 11 IMA GE B Y ALBER T O ANDREI ROSU, WITH ADDITIONAL IMA GER Y …
Construction of a quality model for machine learning systems
Nowadays, systems containing components based on machine learning (ML) methods are
becoming more widespread. In order to ensure the intended behavior of a software system …
becoming more widespread. In order to ensure the intended behavior of a software system …
[HTML][HTML] Integrating process management and event processing in smart factories: A systems architecture and use cases
The developments of new concepts for an increased digitization of manufacturing industries
in the context of Industry 4.0 have brought about novel system architectures and frameworks …
in the context of Industry 4.0 have brought about novel system architectures and frameworks …
Perspectives on the future of manufacturing within the Industry 4.0 era
The technological choices facing the manufacturing industry are vast and complex as the
industry contemplates the increasing levels of digitization and automation in readiness for …
industry contemplates the increasing levels of digitization and automation in readiness for …