Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Ivette Luna"'
Autor:
Matheus Ávila, Ivette Luna
Publikováno v:
Economia e Sociedade, Vol 31, Iss 3, Pp 651-670 (2022)
Abstract The study analyzes the growth and development opportunities for cities in the Brazilian state of São Paulo, considering economic complexity. Our hypothesis is that the structural heterogeneity in Brazil, and in São Paulo, creates regional
Externí odkaz:
https://doaj.org/article/4912ef93f63f4d548f97ed3031cda642
Publikováno v:
Frontiers in Veterinary Science, Vol 7 (2020)
Foot-and mouth disease (FMD) is an animal disease that generates many economic impacts and sanctions on the international market. In 2018, Brazil, the world's largest beef exporter, had the recognition by World Organization for Animal Health (OIE) as
Externí odkaz:
https://doaj.org/article/3f6a8f782b7f4d35a0958d48ed1ea317
Autor:
Hugo Siqueira, Mariana Macedo, Yara de Souza Tadano, Thiago Antonini Alves, Sergio L. Stevan, Domingos S. Oliveira, Manoel H.N. Marinho, Paulo S.G. de Mattos Neto, João F. L. de Oliveira, Ivette Luna, Marcos de Almeida Leone Filho, Leonie Asfora Sarubbo, Attilio Converti
Publikováno v:
Energies, Vol 13, Iss 16, p 4236 (2020)
The forecasting of monthly seasonal streamflow time series is an important issue for countries where hydroelectric plants contribute significantly to electric power generation. The main step in the planning of the electric sector’s operation is to
Externí odkaz:
https://doaj.org/article/6f2fe753d91143b1863d358a9b45a4fd
Autor:
Jônatas Trabuco Belotti, José Jair Alves Mendes Junior, Ivette Luna, Patrícia Teixeira Leite Asano, Yara de Souza Tadano, Thiago Antonini Alves, Marcella Scoczynski Ribeiro Martins, Fábio Luiz Usberti, Sergio Luiz Stevan Jr., Flávio Trojan, Hugo Valadares Siqueira
Publikováno v:
Learning and Nonlinear Models. 20:47-61
Linear models are widely used to perform time series forecasting. The Autoregressive models stand out, due to their simplicity in the parameters adjustment based on close-form solution. The Autoregressive and Moving Average models (ARMA) and Infinite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8449593697164333c1cacdc09bedbd9d
https://doi.org/10.21528/lnlm-vol20-no1-art4
https://doi.org/10.21528/lnlm-vol20-no1-art4
Autor:
Matheus Avila, Ivette Luna
Publikováno v:
Economia e Sociedade, Volume: 31, Issue: 3, Pages: 651-670, Published: 19 DEC 2022
The study analyzes the growth and development opportunities for cities in the Brazilian state of São Paulo, considering economic complexity. Our hypothesis is that the structural heterogeneity in Brazil, and in São Paulo, creates regional inequalit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b599f95ae4099980c8b85edb6144e387
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-06182022000300651&lng=en&tlng=en
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-06182022000300651&lng=en&tlng=en
Recursive linear models optimized by bioinspired metaheuristics to streamflow time series prediction
Publikováno v:
International Transactions in Operational Research. 30:742-773
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f679786a0d7b322f837e00dbc99f940
https://doi.org/10.1111/itor.12908
https://doi.org/10.1111/itor.12908
Publikováno v:
Big Data Research. 29:100333
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffd9116bf0f484609394c19646373dd6
https://doi.org/10.1016/j.bdr.2022.100333
https://doi.org/10.1016/j.bdr.2022.100333
Publikováno v:
Blucher Engineering Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd19a4ce4a8659caebaca20f62830d21
https://doi.org/10.5151/v-enei-741
https://doi.org/10.5151/v-enei-741
Autor:
Matheus Avila, Ivette Luna
Publikováno v:
Blucher Engineering Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::426858b13e55802ef0caab248e0b8558
https://doi.org/10.5151/v-enei-619
https://doi.org/10.5151/v-enei-619
Autor:
Hugo, Siqueira, Mariana, Macedo, Yara de Souza Tadano, Thiago Antonini Alves, Stevan, Sergio L., Oliveira, Domingos S., Marinho, Manoel H. N., de Mattos Neto, Paulo S. G., nbsp, de Oliveira, João F. L., Ivette, Luna, Marcos de Almeida Leone Filho, Leonie Asfora Sarubbo, Converti, Attilio
Publikováno v:
Energies; Volume 13; Issue 16; Pages: 4236
Energies, Vol 13, Iss 4236, p 4236 (2020)
Energies, Vol 13, Iss 4236, p 4236 (2020)
The forecasting of monthly seasonal streamflow time series is an important issue for countries where hydroelectric plants contribute significantly to electric power generation. The main step in the planning of the electric sector’s operation is to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec52f7434a4edcb2e08475d2997f86b5
https://hdl.handle.net/11567/1019898
https://hdl.handle.net/11567/1019898