Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Rodrigo De la Fuente"'
Autor:
Ignacio A. Sepúlveda, Maichel M. Aguayo, Rodrigo De la Fuente, Guillermo Latorre-Núñez, Carlos Obreque, Camila Vásquez Orrego
Publikováno v:
Health Care Management Science.
Mobile dental clinics (MDCs) are suitable solutions for servicing people living in rural and urban areas that require dental healthcare. MDCs can provide dental care to the most vulnerable high-school students. However, scheduling MDCs to visit patie
Publikováno v:
International Journal of Forest Engineering. 32:174-184
This work shows how modern machine learning techniques can be used to solve current problems faced by the forestry industry. More specifically, the focus is on comparing the predictive performance ...
Publikováno v:
Springer Proceedings in Earth and Environmental Sciences ISBN: 9783030889180
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::815d06c7b7810d70af1a0adab2c74cb6
https://doi.org/10.1007/978-3-030-88919-7_15
https://doi.org/10.1007/978-3-030-88919-7_15
Autor:
Ignacio Erazo, Rodrigo De la Fuente
Publikováno v:
2021 Winter Simulation Conference (WSC).
ESCUELA ESPAÑOLA OLEO SOBRE LIENZO. 1585-89. FIRMADO MUSEO DEL PRADO Copia digital. Madrid : Ministerio de Cultura. Subdirección General de Coordinación Bibliotecaria, 2011
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1232::450bb63b97830bce3f2ce6104f570ffe
https://bvpb.mcu.es/es/catalogo_imagenes/grupo.do?path=183572
https://bvpb.mcu.es/es/catalogo_imagenes/grupo.do?path=183572
Publikováno v:
Expert Systems with Applications. 193:116253
Autor:
Rodrigo de la Fuente
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Ingenieria Industrial, Vol 9, Iss 2 (2010)
En el presente trabajo se diseña un modelo de planificación agregada dentro de la unidad de ginecología y obstetricia del Hospital Clínico Herminda Martín. Se comienza investigando los modelos que se han desarrollado para tal propósito dentro d
Externí odkaz:
https://doaj.org/article/3db9252bce5e4ec8badf37ceede6f490
Publikováno v:
Ecological Informatics. 65:101397
Devastating wildfires have increased in frequency and intensity over the last few years, worsened by climate change and prolonged droughts. Wildfire susceptibility mapping with machine learning has been proven useful for fire-prevention plans, turnin