Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Luciana Conceição Dias Campos"'
Autor:
Caio Vincenzo Reis Dima, Luciana Conceição Dias Campos, João Victor Dutra Balboa, Barbara Carla Coelho Batista, Marcelo Caniato Renhe, Jordan Henrique de Souza, Gislaine dos Santos
Publikováno v:
American Journal of Environmental Sciences. 16:85-95
Autor:
Leonardo Goliatt, Gabriel Dias de Abreu, Luciana Conceição Dias Campos, Letícia Florentino Pires
Publikováno v:
Progress in Artificial Intelligence ISBN: 9783030862299
EPIA
EPIA
Forecasting the flow of rivers is essential for maintaining social well-being since their waters provide water and energy resources and cause serious tragedies such as floods and droughts. In this way, predicting long-term flow at measuring stations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a7e995ae74368acff11c7e4a843e7e9
https://doi.org/10.1007/978-3-030-86230-5_13
https://doi.org/10.1007/978-3-030-86230-5_13
Autor:
Eduardo Bezerra, Ribamar Matias, Ivair Luques, Kele Teixeira Belloze, Luciana Conceição Dias Campos
Publikováno v:
Networks in Systems Biology ISBN: 9783030518615
Identifying essential proteins is vital to understanding the minimum requirements for maintaining life. The correct identification of essential proteins contributes to guide the diagnosis of diseases and to identify new drug targets. The continuous a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44bdee58972a4640fee79a79b70d7a1a
https://doi.org/10.1007/978-3-030-51862-2_4
https://doi.org/10.1007/978-3-030-51862-2_4
Autor:
Yulia Gorodetskaya, Luciana Conceição Dias Campos, Gabriel Dias de Abreu, Tales Lima Fonseca, Letícia Florentino Pires, Leonardo Goliatt da Fonseca
Publikováno v:
Progress in Artificial Intelligence ISBN: 9783030302405
EPIA (1)
EPIA (1)
Water resources are essential for sustainable economic and social development, as well as be a vital element for the conservation of ecosystems and the life of all beings on our planet. On the other hand, natural and anthropic disasters from floods a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be6d3ae6913da9c4d62a12964c6915b3
https://doi.org/10.1007/978-3-030-30241-2_43
https://doi.org/10.1007/978-3-030-30241-2_43
Autor:
Luciana Conceição Dias Campos, Tales Lima Fonseca, Rodrigo Weber dos Santos, Luis Paulo da Silva, Leonardo Goliatt, Franciane Conceição Peters
Publikováno v:
Journal of Computational Interdisciplinary Sciences. 8
Publikováno v:
Anais do 10. Congresso Brasileiro de Inteligência Computacional.
Autor:
Rodrigo Weber dos Santos, Luis Paulo da Silva Barra, Luciana Conceição Dias Campos, Rogerio G. N. Santos Filho
Publikováno v:
Advances in Artificial Intelligence--IBERAMIA 2014 ISBN: 9783319120263
IBERAMIA
IBERAMIA
Cardiac Ejection Fraction (EF) is a parameter that indicates how much blood the heart is pumping to the body. It is a very important clinical parameter since it is highly correlated to the functional status of the heart. To measure the EF, diverse no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0711a36771c9ff3cc229deb11edf0928
https://doi.org/10.1007/978-3-319-12027-0_59
https://doi.org/10.1007/978-3-319-12027-0_59
Autor:
Luciana Conceição Dias Campos, Rodrigo Weber dos Santos, Rogerio G. N. Santos Filho, Luis Paulo da Silva Barra
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642451102
MICAI (2)
MICAI (2)
The cardiac ejection fraction (EF) is a clinical parameter that determines the amount of blood pumped by the heart in each cardiac cycle. An EF outside the normal range indicates the heart is contracting abnormally. Diverse non invasive methods can b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d10587800d5152ec3b8b85f4f6bdbe7e
https://doi.org/10.1007/978-3-642-45111-9_11
https://doi.org/10.1007/978-3-642-45111-9_11
Publikováno v:
IJCNN
This paper presents the proposal of a generic model of stochastic process based on neural networks, called Neural Stochastic Process (NSP). The proposed model can be applied to problems involving phenomena of stochastic behavior and / or periodic fea
Autor:
Marley M. B. R. Vellasco, Karla Figueiredo, Marco Aurélio Cavalcanti Pacheco, Luciana Conceição Dias Campos
Publikováno v:
HIS
ResearcherID
ResearcherID
This work presents an extension of the hybrid reinforcement learning-hierarchical neuro-fuzzy politree model (RL-HNFP) and presents its performance in a multi-obstacle environment. The main objective of the RL-HNFP model is to provide an agent with i