Zobrazeno 1 - 10
of 187
pro vyhledávání: '"Ramón Doallo"'
Autor:
Daniel Barreiro‐Ures, Mario Francisco‐Fernández, Ricardo Cao, Basilio B. Fraguela, Ramón Doallo, José Luis González‐Andújar, Miguel Reyes
Publikováno v:
Ecology and Evolution, Vol 9, Iss 19, Pp 10903-10915 (2019)
Abstract Weed scientists are usually interested in the study of the distribution and density functions of the random variable that relates weed emergence with environmental indices like the hydrothermal time (HTT). However, in many situations, experi
Externí odkaz:
https://doaj.org/article/c846ee26911344138a3695748cd25fc2
Autor:
Vasco Barbosa, Inés Santé-Riveira, Rafael Crecente-Maseda, Carlos Díaz Redondo, Juan Porta Trinidad, Jorge Parapar López, Ramón Doallo Biempica, José Ambrósio Ferreira Neto
Publikováno v:
Land, Vol 11, Iss 6, p 800 (2022)
Rural settlements (RS) are a reality of rural areas. They consist of cluster of buildings and ways of life mainly associated with activities related to agriculture. As economic policies applied in rural development have evolved, the physical delimita
Externí odkaz:
https://doaj.org/article/53d2f5f29ed34e468859e9bc364cc4ad
Publikováno v:
Journal of Computer Science and Technology, Vol 13, Iss 03, Pp 153-159 (2018)
Amazon Web Services (AWS) is a well-known public Infrastructure-as-a-Service (IaaS) provider whose Elastic Computing Cloud (EC2) o ering includes some instances, known as cluster instances, aimed at High-Performance Computing (HPC) applications. In p
Externí odkaz:
https://doaj.org/article/d43450ea06c54e54a4f850bea78dfeda
Publikováno v:
Journal of Computer Science and Technology, Vol 18, Iss 03, Pp e26-e26 (2018)
Metaheuristics are among the most popular methods for solving hard global optimization problems in many areas of science and engineering. Their parallel im- plementation applying HPC techniques is a common approach for efficiently using available res
Externí odkaz:
https://doaj.org/article/db569f69ebc34f7eae7bdd6b87c82d1b
Publikováno v:
Remote Sensing, Vol 12, Iss 4, p 719 (2020)
For years, Light Detection and Ranging (LiDAR) technology has been considered as a challenge when it comes to developing efficient software to handle the extremely large volumes of data this surveying method is able to collect. In contexts such as th
Externí odkaz:
https://doaj.org/article/1701b7b9bf2742198d73500141865a0d
Autor:
David R Penas, David Henriques, Patricia González, Ramón Doallo, Julio Saez-Rodriguez, Julio R Banga
Publikováno v:
PLoS ONE, Vol 12, Iss 8, p e0182186 (2017)
We consider a general class of global optimization problems dealing with nonlinear dynamic models. Although this class is relevant to many areas of science and engineering, here we are interested in applying this framework to the reverse engineering
Externí odkaz:
https://doaj.org/article/bebe59a128fe4251b2a2436fea9c06a1
Publikováno v:
The Journal of Supercomputing. 78:19522-19544
Land consolidation is an essential tool for public administrations to reduce the fragmentation of land ownership. In particular, parcel exchange shows promising potential for restructuring parcel holdings, even more when the number of parcels and own
Publikováno v:
The International Journal of High Performance Computing Applications. 36:356-369
The multiplication of large integers, which has many applications in computer science, is an operation that can be expressed as a polynomial multiplication followed by a carry normalization. This work develops two approaches for efficient polynomial
Publikováno v:
The Computer Journal.
Due to the increasingly large amount of data acquired into point clouds, from LiDAR (Light Detection and Ranging) sensors and 2D/3D sensors, massive point clouds processing has become a topic with high interest for several fields. Current client-serv
Publikováno v:
Future Generation Computer Systems. 106:572-584
Codes written in a naive way seldom effectively exploit the computing resources, while writing optimized codes is usually a complex task that requires certain levels of expertise. This problem is further increased in the presence of heterogeneous dev