Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Oscar Peredo"'
Publikováno v:
Complexity, Vol 2018 (2018)
The progress of metaheuristic techniques, big data, and the Internet of things generates opportunities to performance improvements in complex industrial systems. This article explores the application of Big Data techniques in the implementation of me
Externí odkaz:
https://doaj.org/article/08fc3521357846e48a8a2a541db3ac04
Publikováno v:
Sensors, Vol 16, Iss 7, p 1098 (2016)
Mobile data has allowed us to sense urban dynamics at scales and granularities not known before, helping urban planners to cope with urban growth. A frequently used kind of dataset are Call Detail Records (CDR), used by telecommunication operators fo
Externí odkaz:
https://doaj.org/article/c867fd35763f49e5810a07ef684ebefd
Autor:
Oscar Peredo, José R. Herrero
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
This paper describes the application of acceleration techniques into existing implementations of Sequential Gaussian Simulation and Sequential Indicator Simulation. These implementations might incorporate Locally Varying Anisotropy (LVA) to capture n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5530b0281bdc2e0a146e9001867646e
https://hdl.handle.net/2117/362994
https://hdl.handle.net/2117/362994
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Sequential Simulation is a well known method in geostatistical modelling. Following the Bayesian approach for simulation of conditionally dependent random events, Sequential Indicator Simulation (SIS) method draws simulated values for K categories (c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6560b7e643735fe1741e4a570d170a2
https://doi.org/10.1016/j.cageo.2017.09.011
https://doi.org/10.1016/j.cageo.2017.09.011
Publikováno v:
WWW (Companion Volume)
People fulfill their informational needs through smartphones, however, little is known regarding how the urban fabric and the activities that take place in it affect the usage of mobile applications. In this regard, starting from an anonymized datase
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6594c46c76fc65ec90f3a1a0bf95e75
https://doi.org/10.1145/3184558.3191561
https://doi.org/10.1145/3184558.3191561
Publikováno v:
Complexity, Vol 2018 (2018)
The progress of metaheuristic techniques, big data, and the Internet of things generates opportunities to performance improvements in complex industrial systems. This article explores the application of Big Data techniques in the implementation of me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6fd42f2402510f29f0ff6b167566d56
Publikováno v:
Mathematical Geosciences. 48:559-579
Moving average simulation can be summarized as a convolution between a spatial kernel and a white noise random field. The kernel can be calculated once the variogram model is known. An inverse approach to moving average simulation is proposed, where
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::058515c1913433232caf60cac3de246c
https://doi.org/10.1007/s11004-015-9606-x
https://doi.org/10.1007/s11004-015-9606-x
Publikováno v:
Geostatistics Valencia 2016 ISBN: 9783319468181
In telecommunications, the billing data of each telephone, denoted call detail records (CDRs), are a large and rich database with information that can be geo-located. By analyzing the events logged in each antenna, a set of time series can be constru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd1b0252b674b70a87dc2f8b26b31696
https://doi.org/10.1007/978-3-319-46819-8_66
https://doi.org/10.1007/978-3-319-46819-8_66
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
One of the main difficulties using multi-point statistical (MPS) simulation based on annealing techniques or genetic algorithms concerns the excessive amount of time and memory that must be spent in order to achieve convergence. In this work we propo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb083e8cfff37fbdee71a931b7b37941
https://doi.org/10.1016/j.parco.2014.04.005
https://doi.org/10.1016/j.parco.2014.04.005
Publikováno v:
Sensors (Basel, Switzerland)
Sensors; Volume 16; Issue 7; Pages: 1098
Sensors, Vol 16, Iss 7, p 1098 (2016)
Sensors; Volume 16; Issue 7; Pages: 1098
Sensors, Vol 16, Iss 7, p 1098 (2016)
Mobile data has allowed us to sense urban dynamics at scales and granularities not known before, helping urban planners to cope with urban growth. A frequently used kind of dataset are Call Detail Records (CDR), used by telecommunication operators fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70b704b2507d482b6f5cd205b84cba4c
https://pubmed.ncbi.nlm.nih.gov/27428979
https://pubmed.ncbi.nlm.nih.gov/27428979