Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Janeth Alpala"'
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1973 (2024)
This paper presents a statistical approach to identify the underlying roughness characteristics in synthetic aperture radar (SAR) intensity data. The physical modeling of this kind of data allows the use of the Gamma distribution in the presence of f
Externí odkaz:
https://doaj.org/article/3156e8a5ac4647228b56d58e794b4e35
Autor:
Catalina González-Castaño, Leandro L. Lorente-Leyva, Janeth Alpala, Javier Revelo-Fuelagán, Diego H. Peluffo-Ordóñez, Carlos Restrepo
Publikováno v:
Membranes, Vol 11, Iss 12, p 953 (2021)
This paper proposes a Gaussian approach for the proton-exchange membrane fuel cell (PEMFC) model that estimates its voltage behavior from the operating current value. A multi-parametric Gaussian model and an unconstrained optimization formulation bas
Externí odkaz:
https://doaj.org/article/b32e6621ec9b441fb8a12b46d0299280
Autor:
Javier Revelo-Fuelagán, Carlos Restrepo, Catalina González-Castaño, Diego Hernán Peluffo-Ordóñez, Leandro L. Lorente-Leyva, Janeth Alpala
Publikováno v:
Membranes
Membranes; Volume 11; Issue 12; Pages: 953
Membranes, Vol 11, Iss 953, p 953 (2021)
Membranes; Volume 11; Issue 12; Pages: 953
Membranes, Vol 11, Iss 953, p 953 (2021)
This paper proposes a Gaussian approach for the proton-exchange membrane fuel cell (PEMFC) model that estimates its voltage behavior from the operating current value. A multi-parametric Gaussian model and an unconstrained optimization formulation bas