Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Daniel A. Gutierrez-Pachas"'
Autor:
Daniel A. Gutierrez-Pachas, Germain Garcia-Zanabria, Ernesto Cuadros-Vargas, Guillermo Camara-Chavez, Erick Gomez-Nieto
Publikováno v:
Education Sciences, Vol 13, Iss 2, p 154 (2023)
The prediction of university dropout is a complex problem, given the number and diversity of variables involved. Therefore, different strategies are applied to understand this educational phenomenon, although the most outstanding derive from the join
Externí odkaz:
https://doaj.org/article/f9e9cfd09a8c41fa852a5f5f627b6ea4
Autor:
Germain Garcia-Zanabria, Daniel A. Gutierrez-Pachas, Guillermo Camara-Chavez, Jorge Poco, Erick Gomez-Nieto
Publikováno v:
Applied Sciences, Vol 12, Iss 12, p 5785 (2022)
High and persistent dropout rates represent one of the biggest challenges for improving the efficiency of the educational system, particularly in underdeveloped countries. A range of features influence college dropouts, with some belonging to the edu
Externí odkaz:
https://doaj.org/article/37b73ab1fb614937be5d828748239e16
Autor:
Daniel A. Gutierrez-Pachas, Germain Garcia-Zanabria, Alex J. Cuadros-Vargas, Guillermo Camara-Chavez, Jorge Poco, Erick Gomez-Nieto
Publikováno v:
Education Sciences, Vol 12, Iss 4, p 242 (2022)
Computer science is a dynamic field of study that requires constant review and updating of the curricular designs in academic programs—in general, measuring the impact of plan changes has been little explored in the literature. In most cases, it fo
Externí odkaz:
https://doaj.org/article/3ed0115a3d6640458bbfe9db1d93869a
Publikováno v:
Proceeding Series of the Brazilian Society of Computational and Applied Mathematics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfffab2c1200af280dd248850907b9a7
https://doi.org/10.5540/03.2022.009.01.0230
https://doi.org/10.5540/03.2022.009.01.0230
Publikováno v:
2022 XVLIII Latin American Computer Conference (CLEI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8debdcd03f0b91c5ee5735a67d72f9b9
https://doi.org/10.1109/clei56649.2022.9959941
https://doi.org/10.1109/clei56649.2022.9959941
Autor:
Daniel A. Gutierrez Pachas, Germain Garcia-Zanabria, Alex J. Cuadros-Vargas, Guillermo Camara-Chavez, Jorge Poco, Erick Gomez-Nieto
Publikováno v:
2021 XLVII Latin American Computing Conference (CLEI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff2e93892d2b5b0f7926ccea6feaa491
https://doi.org/10.1109/clei53233.2021.9640119
https://doi.org/10.1109/clei53233.2021.9640119
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Neste trabalho estudamos as equações de Riccati para a filtragem de sistemas lineares com saltos Markovianos a tempo discreto. Obtemos uma condição geral para estabilidade do filtro ótimo obtido pela equação algébrica de filtragem, e que tamb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8d73f98d5c474c4c2621a075c4a3a69
https://doi.org/10.11606/t.55.2017.tde-07122017-110356
https://doi.org/10.11606/t.55.2017.tde-07122017-110356
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USPUniversidade de São PauloUSP.
Neste trabalho estudamos as equações de Riccati para a filtragem de sistemas lineares com saltos Markovianos a tempo discreto. Obtemos uma condição geral para estabilidade do filtro ótimo obtido pela equação algébrica de filtragem, e que tamb