Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Victor Henrique Cabral Pinheiro"'
Autor:
Kai-Yun Li, Raul Sampaio de Lima, Niall G. Burnside, Ele Vahtmäe, Tiit Kutser, Karli Sepp, Victor Henrique Cabral Pinheiro, Ming-Der Yang, Ants Vain, Kalev Sepp
Publikováno v:
Remote Sensing, Vol 14, Iss 5, p 1114 (2022)
The incorporation of autonomous computation and artificial intelligence (AI) technologies into smart agriculture concepts is becoming an expected scientific procedure. The airborne hyperspectral system with its vast area coverage, high spectral resol
Externí odkaz:
https://doaj.org/article/f9415829012240e3b8881d7eef3be213
Autor:
Kai-Yun Li, Niall G. Burnside, Raul Sampaio de Lima, Miguel Villoslada Peciña, Karli Sepp, Victor Henrique Cabral Pinheiro, Bruno Rucy Carneiro Alves de Lima, Ming-Der Yang, Ants Vain, Kalev Sepp
Publikováno v:
Remote Sensing, Vol 13, Iss 16, p 3190 (2021)
The recent trend of automated machine learning (AutoML) has been driving further significant technological innovation in the application of artificial intelligence from its automated algorithm selection and hyperparameter optimization of the deployab
Externí odkaz:
https://doaj.org/article/7611afaf16d84f21b0a0bc97c4f43065
Autor:
Andressa dos Santos Nicolau, Victor Henrique Cabral Pinheiro, Roberto Schirru, Marco das Candeias da Silva, Anneliese Silva de Mello, Alan Miranda Monteiro de Lima
Publikováno v:
Progress in Nuclear Energy. 156:104542
Autor:
Alan Miranda Monteiro de Lima, Filipe Santana Moreira do Desterro, Renato Koga de Avellar, Andressa dos Santos Nicolau, Roberto Schirru, Marcelo Carvalho dos Santos, Victor Henrique Cabral Pinheiro
Publikováno v:
Annals of Nuclear Energy. 133:400-408
A Nuclear Power Plant (NPP) is an advanced and complex power generation system that requires a high level of safety to operate. So, when confronted with an anomalous event, such as an accident or a transient scenario, if the event is not correctly id
Publikováno v:
Annals of Nuclear Energy. 124:335-341
The nuclear accident identification problem has been developed quite extensively in the literature, with numerous statistical methods and artificial intelligence techniques having been employed over the years to deal with this important safety matter
Autor:
Marcelo Carvalho dos Santos, Roberto Schirru, Victor Henrique Cabral Pinheiro, Alexandre Wanderley, Andressa dos Santos Nicolau, Filipe Santana Moreira do Desterro, Mario Cesar Mello Massa de Campos
Publikováno v:
Application of Expert Systems-Theoretical and Practical Aspects ISBN: 9781838810061
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dbd677aa8ee28ad7b79a33e9149e7bd
http://www.intechopen.com/articles/show/title/alert-diagnostic-system-sda
http://www.intechopen.com/articles/show/title/alert-diagnostic-system-sda
Autor:
Niall Burnside, Ants Vain, Raul Sampaio de Lima, Bruno Rucy Carneiro Alves de Lima, Ming-Der Yang, Kalev Sepp, Miguel Villoslada Peciña, Victor Henrique Cabral Pinheiro, Kai-Yun Li, K. Sepp
Publikováno v:
Remote Sensing
Volume 13
Issue 16
Pages: 3190
Remote Sensing, Vol 13, Iss 3190, p 3190 (2021)
Volume 13
Issue 16
Pages: 3190
Remote Sensing, Vol 13, Iss 3190, p 3190 (2021)
The recent trend of automated machine learning (AutoML) has been driving further significant technological innovation in the application of artificial intelligence from its automated algorithm selection and hyperparameter optimization of the deployab
Autor:
Manoel Villas Boas Junior, Roberto Schirru, Victor Henrique Cabral Pinheiro, Mikael Schirru, Alan Miranda Monteiro de Lima, Andressa dos Santos Nicolau
Publikováno v:
Progress in Nuclear Energy. 123:103308
Alarm floods are a recurring problem of industrial plants and a particular nuisance of nuclear power plants (NPPs), where it is possible, for example, to activate 1000 alarms in a period of 10 min, with the majority of alarms being activated in the v
Autor:
Marcelo Carvalho dos Santos, Cláudio Márcio do Nascimento Abreu Pereira, Filipe Santana Moreira do Desterro, Victor Henrique Cabral Pinheiro, Roberto Schirru
Publikováno v:
Annals of Nuclear Energy. 137:107111
When it comes to Nuclear Power Plants (NPP) operation, one of the major challenges in the Human Factors Engineering area is to provide reliable support systems, capable of rapidly identifying abnormal (transient and accident) events. Recently, Deep L