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of 738
pro vyhledávání: '"R, Miguel"'
In this paper, we present a deep learning system approach to estimating luminosity, effective temperature, and surface gravity of O-type stars using the optical region of the stellar spectra. In previous work, we compare a set of machine learning and
Externí odkaz:
http://arxiv.org/abs/2210.12791
The growth of sky surveys and the large amount of stellar spectra in the current databases, has generated the necessity of developing new methods to estimate atmospheric parameters, a fundamental task on stellar research. In this work we present a co
Externí odkaz:
http://arxiv.org/abs/2105.07110
Publikováno v:
In Electric Power Systems Research May 2023 218
Autor:
Laís G. Fregolente, João Vitor dos Santos, Felipe S. Mazzati, Thaiz B. A. R. Miguel, Emílio de C. Miguel, Altair B. Moreira, Odair P. Ferreira, Márcia C. Bisinoti
Publikováno v:
Chemical and Biological Technologies in Agriculture, Vol 8, Iss 1, Pp 1-13 (2021)
Abstract Background Hydrothermal carbonization (HTC) is a thermochemical process to convert biomass in carbon-rich materials (hydrochar). The use of sugarcane industry by-products in HTC has been evaluated, generating a hydrochar rich in nutrients, w
Externí odkaz:
https://doaj.org/article/8096f6e5319a4d1e807e87353db608c8
Autor:
Cordero, Gustavo Berrio, Murillo G., Jean F., Ortega López, César, Rodríguez M., Jairo Arbey, Espitia R., Miguel J.
Publikováno v:
In Physica B: Physics of Condensed Matter 15 July 2019 565:44-47
Publikováno v:
In Physica B: Physics of Condensed Matter 1 January 2019 552:84-87
Publikováno v:
ASP Conference Series; 2024, Vol. 535, p83-86, 4p
Autor:
Montcharles S. Pontes, Jaqueline Silva Santos, José Luiz da Silva, Thaiz B. A. R. Miguel, Emilio Castro Miguel, Antonio G. Souza Filho, Flavio Garcia, Sandro Marcio Lima, Luís Humberto da Cunha Andrade, Gilberto J. Arruda, Renato Grillo, Anderson R. L. Caires, Etenaldo Felipe Santiago
Publikováno v:
ACS Nano. 17:7417-7430
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bbf38f36595baa531276ae9ea75bfcb
https://doi.org/10.1021/acsnano.2c11985
https://doi.org/10.1021/acsnano.2c11985
Autor:
Dávila R., Miguel A.1 miadavilar@correo.udistrital.edu.co, Trujillo R., César L.1 cltrujillo@udistrital.edu.co, Jaramillo M., Adolfo A.1 ajaramillom@udistrital.edu.co
Publikováno v:
INGENIARE - Revista Chilena de Ingeniería. Apr-Jun2022, Vol. 30 Issue 2, p353-367. 15p.
Publikováno v:
Entropy, Vol 24, Iss 2, p 225 (2022)
Haphazard intentional sampling is a method developed by our research group for two main purposes: (i) sampling design, where the interest is to select small samples that accurately represent the general population regarding a set of covariates of int
Externí odkaz:
https://doaj.org/article/507d74c3d4f64914b4f627bf8a9af812