Zobrazeno 1 - 10
of 167
pro vyhledávání: '"Marco S. Reis"'
Publikováno v:
Computers, Vol 12, Iss 6, p 110 (2023)
As more and more devices are being deployed across networks to gather data and use them to perform intelligent tasks, it is vital to have a tool to perform real-time data analysis. Data are the backbone of Machine Learning models, the core of intelli
Externí odkaz:
https://doaj.org/article/26543cc7d98647d09245587f6f322f0a
Publikováno v:
Sensors, Vol 22, Iss 10, p 3734 (2022)
The Research Octane Number (RON) is a key quality parameter for gasoline, obtained offline through complex, time-consuming, and expensive standard methods. Measurements are usually only available a few times per week and after long delays, making pro
Externí odkaz:
https://doaj.org/article/21a27e11f464446ea34f23a4d64f702c
Publikováno v:
Sensors, Vol 22, Iss 10, p 3657 (2022)
Persistent Homology (PH) analysis is a powerful tool for understanding many relevant topological features from a given dataset. PH allows finding clusters, noise, and relevant connections in the dataset. Therefore, it can provide a better view of the
Externí odkaz:
https://doaj.org/article/c86031f256494fb596f08c6706f56cd8
Autor:
Marco S. Reis, Eugeniu Strelet, Joel Sansana, Margarida J. Quina, Licínio M. Gando-Ferreira, Tiago J. Rato
Publikováno v:
Industrial & Engineering Chemistry Research. 61:17544-17556
The continuous research on TinyML has increased the number of Machine Learning (ML) models capable of running their inference phase in a Resource-Scarce Embedded System (RSES). Therefore, part of the intelligence services run now in the devices at th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33dc6422442df57a5b1ee662d6cf80a4
https://doi.org/10.36227/techrxiv.21405120.v1
https://doi.org/10.36227/techrxiv.21405120.v1
Publikováno v:
Control Engineering Practice
Control Engineering Practice, 2022, 127, pp.105304. ⟨10.1016/j.conengprac.2022.105304⟩
Control Engineering Practice, 2022, 127, pp.105304. ⟨10.1016/j.conengprac.2022.105304⟩
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e74ee4e75af3f7447f5d9f735e8c71b
https://hal-emse.ccsd.cnrs.fr/emse-03754041
https://hal-emse.ccsd.cnrs.fr/emse-03754041
Autor:
Marco S. Reis, Tiago J. Rato
Publikováno v:
Chemical Engineering Science. 278:118902
Publikováno v:
Quality and Reliability Engineering International. 38:1463-1481
Autor:
Eugeniu Strelet, Zhenyu Wang, You Peng, Ivan Castillo, Ricardo Rendall, Birgit Braun, Leo Chiang, Marco S. Reis
Publikováno v:
2022 American Control Conference (ACC).
Publikováno v:
Computers & Chemical Engineering. 173:108211