Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Cristina Rosaria Monsone"'
Autor:
Cristina Rosaria Monsone, János Jósvai
Publikováno v:
Acta Technica Jaurinensis, Vol 12, Iss 3, Pp 252-267 (2019)
Today’s manufacturing and assembly systems have to be flexible to adapt quickly to an increasing number and variety of products. The Industry 4.0 conceptualization has several potentials, i.e. flexibility in business and manufacturing processes, wh
Externí odkaz:
https://doaj.org/article/9a9f1c9d33b341f1acd9655cef145e58
Autor:
Cristina Rosaria Monsone
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783030808464
AI4KM@IJCAI
AI4KM@IJCAI
This article presents the key elements of the digitalization of a system, industrial and non, providing a new holistic formulation for Industry 4.0, I4.0, and a concept base of a new API system in the field of Digital Twin for industrial integrated s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a2901f149c80af4dd2df0afaf777556
https://doi.org/10.1007/978-3-030-80847-1_11
https://doi.org/10.1007/978-3-030-80847-1_11
Publikováno v:
MEDES
IoT, digital twins, co-bots, drones, Artificial Intelligence, clouds are the system components of Industry 4.0, this trend born to face hypercompetition. It aims in renewing processes using available technologies and impacts the whole industry ecosys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b498908317aed68d13f3a59c45ce07ac
https://doi.org/10.1145/3297662.3365793
https://doi.org/10.1145/3297662.3365793
Autor:
Cristina Rosaria Monsone, Adam Csapo
Publikováno v:
2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom).
This paper summarizes the theory behind state-of-the-art convolutional neural networks and investigates how they can applied to some of the challenges in Industry 4.0. Following an overview of key results in the literature, several major application
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3fbc63bcb9491f26d97d43d5c680dd6
https://doi.org/10.1109/coginfocom47531.2019.9089932
https://doi.org/10.1109/coginfocom47531.2019.9089932
Publikováno v:
KMIS
11th International Conference on Knowledge Management and Information Systems
11th International Conference on Knowledge Management and Information Systems, Sep 2019, Vienna, Austria. pp.271-276, ⟨10.5220/0008348202710276⟩
11th International Conference on Knowledge Management and Information Systems, Sep 2019, Vienna, France. pp.271-276, ⟨10.5220/0008348202710276⟩
11th International Conference on Knowledge Management and Information Systems
11th International Conference on Knowledge Management and Information Systems, Sep 2019, Vienna, Austria. pp.271-276, ⟨10.5220/0008348202710276⟩
11th International Conference on Knowledge Management and Information Systems, Sep 2019, Vienna, France. pp.271-276, ⟨10.5220/0008348202710276⟩
Industry 4.0 aims in renewing processes using available technologies such as robots and other AI techniques implemented in IoT, drones, digital twins and clouds. This metamorphose impacts the whole industry ecosystems including people, information pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdcc2c1a3ca2440138096cdb239bdf64
https://doi.org/10.5220/0008348202710276
https://doi.org/10.5220/0008348202710276