Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Carine Rebello"'
Autor:
Rodrigo Santos, Carine Rebello, Anderson Prudente, Ana M. Ribeiro, Alírio E. Rodrigues, José M. Loureiro, Karen V. Pontes, Idelfonso B. R. Nogueira
Publikováno v:
Separations, Vol 9, Iss 2, p 43 (2022)
n-Propyl Propionate (ProPro) is a harmless biodegradable product employed in several fields for the production of drugs, inks, coating, food, and perfume. ProPro is synthesized in an equilibrium reaction for which its yield can be enhanced by constan
Externí odkaz:
https://doaj.org/article/2124c3902a51436e9dc9d029d68ff31a
Autor:
Erbet Almeida Costa, Carine Rebello, Leizer Schnitman, Marcio Fontana, Idelfonso B. R. Nogueira
Publikováno v:
Mathematics; Volume 11; Issue 1; Pages: 74
Robust learning is an important issue in Scientific Machine Learning (SciML). There are several works in the literature addressing this topic. However, there is an increasing demand for methods that can simultaneously consider all the different uncer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d825c9155b20b5e9ecd7ae183f506fe4
http://arxiv.org/abs/2209.01900
http://arxiv.org/abs/2209.01900
Autor:
Alirio Rodrigues, Erbet Almeida Costa, Carine Rebello, Leizer Schnitman, Ana Ribeiro, Idelfonso B. R. Nogueira, Vinicius Santana
Publikováno v:
Processes; Volume 10; Issue 2; Pages: 409
Data-driven sensors are techniques capable of providing real-time information of unmeasured variables based on instrument measurements. They are valuable tools in several engineering fields, from car automation to chemical processes. However, they ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce880e5c5483211ec6a89d32a864d6f5
Autor:
Alirio Rodrigues, Erbet Almeida Costa, Carine Rebello, Ana Ribeiro, Paulo Marrocos, Idelfonso B. R. Nogueira, Vinicius Santana
Publikováno v:
Processes; Volume 10; Issue 2; Pages: 250
A misusage of machine learning (ML) strategies is usually observed in the process systems engineering literature. This issue is even more evident when dynamic identification is performed. The root of this problem is the gradient explode and vanishing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3820b3cdfcb4857c8fe92acefba2c782
https://doi.org/10.3390/pr10020250
https://doi.org/10.3390/pr10020250