Zobrazeno 1 - 10
of 554
pro vyhledávání: '"Lopez-Arevalo"'
Autor:
J. Armando Barron-Lugo, Ivan Lopez-Arevalo, J.L. Gonzalez-Compean, M. Susana Alvarado-Barrientos, Jesus Carretero, Victor J. Sosa-Sosa, Raffaele Montella
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 128, Iss , Pp 103736- (2024)
This paper presents Kawak, a GIS-bigdata model for merging retrospective meteorological data with ground-based observations to achieve comprehensive territorial coverage. This model identifies areas without active ground-based stations and creates vi
Externí odkaz:
https://doaj.org/article/1fa9e8dd11de42e0af23cb003b7880af
Autor:
Jarquin-Yañez, Lizet, Martinez-Acuña, Monica Imelda, Lopez-Arevalo, Ivan, Calderon Hernandez, Jaqueline
Publikováno v:
In Environmental Research 1 July 2024 252 Part 1
Autor:
Barron-Lugo, J. Armando, Lopez-Arevalo, Ivan, Gonzalez-Compean, J.L., Alvarado-Barrientos, M. Susana, Carretero, Jesus, Sosa-Sosa, Victor J., Montella, Raffaele
Publikováno v:
In International Journal of Applied Earth Observation and Geoinformation April 2024 128
Autor:
Nelson E. Ordoñez-Guillen, Jose Luis Gonzalez-Compean, Ivan Lopez-Arevalo, Miguel Contreras-Murillo, Edwin Aldana-Bobadilla
Publikováno v:
BioData Mining, Vol 16, Iss 1, Pp 1-37 (2023)
Abstract Purpose Data-driven diabetes research has increased its interest in exploring the heterogeneity of the disease, aiming to support in the development of more specific prognoses and treatments within the so-called precision medicine. Recently,
Externí odkaz:
https://doaj.org/article/b895f33bf79b4d0f8c3a71d056b27ffc
Autor:
Carrillo-Villamizar, Jennifer Zilenthsjigh, Jiménez-Ramírez, Juan Sebastián, López-Arévalo, Hugo Fernando
Publikováno v:
Caldasia, 2022 May 01. 44(2), 394-407.
Externí odkaz:
https://www.jstor.org/stable/48676834
Autor:
Barron-Lugo, J. Armando, Gonzalez-Compean, J.L., Lopez-Arevalo, Ivan, Carretero, Jesus, Martinez-Rodriguez, Jose L.
Publikováno v:
In Future Generation Computer Systems August 2023 145:87-103
Autor:
Ana B. Rios-Alvarado, Jose L. Martinez-Rodriguez, Andrea G. Garcia-Perez, Tania Y. Guerrero-Melendez, Ivan Lopez-Arevalo, Jose Luis Gonzalez-Compean
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 2, Pp 1281-1297 (2022)
Abstract Knowledge graphs (KGs) are useful data structures for the integration, retrieval, dissemination, and inference of information in various information domains. One of the main challenges in building KGs is the extraction of named entities (nod
Externí odkaz:
https://doaj.org/article/ef8c716bd38c44e694e4b4d0d8a159db
Publikováno v:
Caldasia, 2021 Jul 01. 43(2), 274-285.
Externí odkaz:
https://www.jstor.org/stable/48646914
Publikováno v:
Caldasia, 2021 Jul 01. 43(2), 396-399.
Externí odkaz:
https://www.jstor.org/stable/48646925
Publikováno v:
Caldasia, 2021 Jul 01. 43(2), iv-vi.
Externí odkaz:
https://www.jstor.org/stable/48646907