Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Leandro L Lorente-Leyva"'
Autor:
Raúl Torres-Sainz, Leandro L. Lorente-Leyva, Yorley Arbella-Feliciano, Carlos Alberto Trinchet-Varela, Lidia María Pérez-Vallejo, Roberto Pérez-Rodríguez
Publikováno v:
Data in Brief, Vol 57, Iss , Pp 111058- (2024)
Efficient management of industrial assets and equipment depends heavily on the selection of appropriate maintenance strategies. This research presents a dataset generated through Monte Carlo simulations to evaluate 12 key criteria relevant to mainten
Externí odkaz:
https://doaj.org/article/9730c0f0fc334730bb3677b05989f9d5
Publikováno v:
Revista Cubana de Medicina Militar, Vol 52, Iss 4, Pp e023018125-e023018125 (2023)
Odontology and Artificial Intelligence
Externí odkaz:
https://doaj.org/article/91be4fafe2e7410f84c4c8b13914bcf8
Autor:
Víctor Asanza, Leandro L. Lorente-Leyva, Diego H. Peluffo-Ordóñez, Daniel Montoya, Kleber Gonzalez
Publikováno v:
Data in Brief, Vol 50, Iss , Pp 109540- (2023)
Biomedical Electroencephalography (EEG) signals are the result of measuring the electric potential difference generated on the scalp surface by neural activity corresponding to each brain area. Accurate and automatic detection of neural activity from
Externí odkaz:
https://doaj.org/article/c437648568a44467b38a5af12766e638
Autor:
Mauricio Argotty-Erazo, Antonio Blazquez-Zaballos, Carlos A. Argoty-Eraso, Leandro L. Lorente-Leyva, Nadia N. Sanchez-Pozo, Diego H. Peluffo-Ordonez
Publikováno v:
IEEE Access, Vol 11, Pp 67249-67284 (2023)
Predicting the price and trends of financial instruments is a major challenge in the financial industry, impacting investment decision-making efficiency for various stakeholders. Although numerous and effective artificial intelligence techniques have
Externí odkaz:
https://doaj.org/article/6682fd90bd164adeac05f07b5fb64986
Publikováno v:
Revista Habanera de Ciencias Médicas, Vol 22, Iss 2, Pp e5423-e5423 (2023)
Externí odkaz:
https://doaj.org/article/0bdb81a1b094444483ba97d4c7682265
Autor:
Ulbio Alejandro-Sanjines, Anthony Maisincho-Jivaja, Victor Asanza, Leandro L. Lorente-Leyva, Diego H. Peluffo-Ordóñez
Publikováno v:
Biomimetics, Vol 8, Iss 5, p 434 (2023)
Automated industrial processes require a controller to obtain an output signal similar to the reference indicated by the user. There are controllers such as PIDs, which are efficient if the system does not change its initial conditions. However, if t
Externí odkaz:
https://doaj.org/article/d26df0ca2c544bc887a90ad1c94d2b58
Autor:
Karla Avilés-Mendoza, Neil George Gaibor-León, Víctor Asanza, Leandro L. Lorente-Leyva, Diego H. Peluffo-Ordóñez
Publikováno v:
Biomimetics, Vol 8, Iss 2, p 255 (2023)
About 8% of the Ecuadorian population suffers some type of amputation of upper or lower limbs. Due to the high cost of a prosthesis and the fact that the salary of an average worker in the country reached 248 USD in August 2021, they experience a gre
Externí odkaz:
https://doaj.org/article/af068dc74a4b44d7b2e0317af658e957
Autor:
Yorley Arbella-Feliciano, Carlos A. Trinchet-Varela, Leandro L. Lorente-Leyva, Diego H. Peluffo-Ordóñez
Publikováno v:
Journal Européen des Systèmes Automatisés. 56:329-335
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::226a9168930f3151807bbdd1c43ee599
https://doi.org/10.18280/jesa.560218
https://doi.org/10.18280/jesa.560218
Autor:
Víctor Asanza, Enrique Peláez, Francis Loayza, Leandro L. Lorente-Leyva, Diego H. Peluffo-Ordóñez
Publikováno v:
Sensors, Vol 22, Iss 5, p 2028 (2022)
Recent engineering and neuroscience applications have led to the development of brain–computer interface (BCI) systems that improve the quality of life of people with motor disabilities. In the same area, a significant number of studies have been c
Externí odkaz:
https://doaj.org/article/0d80662b5fb046b2854b22c8e9c0db57
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