Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Diana Segura-Velandia"'
Publikováno v:
IEEE Access, Vol 11, Pp 108080-108091 (2023)
The use of data analytics and Machine Learning (ML) branches of AI for predictive and analytic knowledge retrieval has surged significantly in various industries (e.g., health, finance, business, and manufacturing). However, the acceptance of AI has
Externí odkaz:
https://doaj.org/article/dc2505b8470f4e37a5c0a54c8bce0b40
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 10, Iss , Pp 100347- (2021)
Electrical assisted bicycles (e-Bikes) represent an emerging sustainable mode of transport for future smart cities. Several designs issues impact policy in several countries such as the UK, Europe and the USA. As e-bike usage continues to grow, so to
Externí odkaz:
https://doaj.org/article/66709c2e95b148199811594067e03b15
Publikováno v:
Advances in Transdisciplinary Engineering ISBN: 9781643683300
Industry 4.0 is an emerging area for Small Medium Sized Enterprises (SME) while international companies have already adopted Industry 4.0 and practicing its technologies to stay competitive and expand their market shares. This research paper aims to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccad6cf6b7a10de466af503821cb7997
https://doi.org/10.3233/atde220619
https://doi.org/10.3233/atde220619
Autor:
David Guerra-Zubiaga, Grayson McMichael, Diana Segura-Velandia, Maria Aslam, Seung-Woo Yim, Zack Anderson, Yee Mey Goh
Publikováno v:
Volume 2B: Advanced Manufacturing.
Industry 4.0 is the next phase in the industrial revolution, and it is considered a key factor for advanced process control. This paper is focused on Industry 4.0 aspects to support better process control through a Manufacturing Execution System (MES
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca3717d4468158b7a9d7d58b6b5798ca
https://doi.org/10.1115/imece2021-68686
https://doi.org/10.1115/imece2021-68686