Zobrazeno 1 - 3
of 3
pro vyhledávání: '"José Luis Conradi Hoffmann"'
Autor:
José Luis Conradi Hoffmann, Leonardo Passig Horstmann, Mateus Martínez Lucena, Gustavo Medeiros de Araujo, Antônio Augusto Fröhlich, Marcos Hisashi Napoli Nishioka
Publikováno v:
Applied Artificial Intelligence, Vol 35, Iss 12, Pp 893-913 (2021)
In this paper, we present a Semi-Supervised Deep Learning approach for anomaly detection of Wind Turbine generators based on vibration signals. The proposed solution is integrated into an IoT Platform as a real-time Workflow. The Workflow is responsi
Externí odkaz:
https://doaj.org/article/42847395a4914446a1a2d5a042a34c41
Autor:
César Huegel Richa, Mateus M. de Lucena, Leonardo Passig Horstmann, José Luis Conradi Hoffmann, Antônio Augusto Fröhlich
Publikováno v:
Sensors, Vol 20, Iss 7, p 1818 (2020)
In this paper, we present an approach to assess the schedulability and scalability of CPS Networks through an algorithm that is capable of estimating the load of the network as its utility grows. Our approach evaluates both the network load and the l
Externí odkaz:
https://doaj.org/article/afb3ad61162b4a7c812a3be4c366c6de
Publikováno v:
Journal of Network and Systems Management. 31
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e926b728c37b9c652e79778fbc4c8261
https://doi.org/10.1007/s10922-023-09723-6
https://doi.org/10.1007/s10922-023-09723-6