Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Andres Regal"'
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2677:829-842
This paper studies demand for public loading zones in urban environments and seeks to develop a machine learning algorithm to predict their demand. Understanding and predicting demand for public loading zones can: (i) support better management of the
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Andres Regal
Publikováno v:
International Journal of Machine Learning and Computing. 10:207-212
Autor:
Andres Regal, Claudio Ortega, Antonio Vazquez Brust, Michelle Rodriguez, Patricio Zambrano-Barragan
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9783031068614
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66f34ba6553fda4e7564b3c4e263bbbc
https://doi.org/10.1007/978-3-031-06862-1_34
https://doi.org/10.1007/978-3-031-06862-1_34
Publikováno v:
Transportation Research Record; January 2023, Vol. 2677 Issue: 1 p829-842, 14p
Autor:
Carlos Fabbri, Gabriela Yaulli, Andrea Palomino, Juandiego Morzan, Claudia Gil, Gonzalo Herrera, Andres Regal
Publikováno v:
Ingeniare. Revista chilena de ingeniería v.27 n.4 2019
SciELO Chile
CONICYT Chile
instacron:CONICYT
SciELO Chile
CONICYT Chile
instacron:CONICYT
espanolEl modelamiento y prediccion de series temporales constituye una tarea ardua y esencial para los procedimientos de optimizacion financiera. Numerosos estudios han sido elaborados con la finalidad de reducir la incertidumbre del inversor, media
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d84a74ee3e07521ca7a2d5c75d0fd324
http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052019000400696
http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052019000400696
Publikováno v:
2019 International Conference on Control, Automation and Diagnosis (ICCAD).
This paper proposes a framework to define a zoning strategy taking into account both functional and spatial patterns. This partition allows further development of territorial intelligence analytics indicators, mainly in the context of urban logistics
The rapid growth of cities in the 21st century along with the congestion of road infrastructure and high population density makes urban spaces highly vulnerable to disasters. After a disaster occurs, health services infrastructure is critical to supp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0b02fae431279b3e39a60af6b26404f
https://doi.org/10.4018/978-1-5225-8160-4.ch018
https://doi.org/10.4018/978-1-5225-8160-4.ch018
Autor:
Andrés Regalsky
Publikováno v:
Investigaciones y Ensayos, Iss 76 (2023)
Como ya ha señalado Noemí Girbal-Blacha, nuestros comentarios están planteados sobre los tres trabajos de Juan José Llach más comprometidos con el análisis histórico y con el período especifico de que tratan estas Jornadas. En el caso que me
Externí odkaz:
https://doaj.org/article/bbaacdfca2064f02a1f247cf4edd4386
Autor:
Andrés Regal Ludowieg, Claudio Ortega, Andrés Bronfman, Michelle Rodriguez Serra, Mario Chong
Publikováno v:
Journal of Humanitarian Logistics and Supply Chain Management, Vol 12, Iss 2, Pp 157-181 (2022)
Purpose – The purpose of this paper is to present a spatial decision support system (SDSS) to be used by the local authorities of a city in the planning and response phase of a disaster. The SDSS focuses on the management of public spaces as a reso
Externí odkaz:
https://doaj.org/article/feb95aa87453422ba104e9cb304ff1a5