Zobrazeno 1 - 10
of 652
pro vyhledávání: '"Moya, Jose"'
Publikováno v:
Journal of Grid Computing, 13(3), pp. 409-423, 2014
This work proposes an automatic methodology for modeling complex systems. Our methodology is based on the combination of Grammatical Evolution and classical regression to obtain an optimal set of features that take part of a linear and convex model.
Externí odkaz:
http://arxiv.org/abs/2407.00001
Publikováno v:
Journal of Biomedical Informatics, 62, 2016
Prediction of symptomatic crises in chronic diseases allows to take decisions before the symptoms occur, such as the intake of drugs to avoid the symptoms or the activation of medical alarms. The prediction horizon is in this case an important parame
Externí odkaz:
http://arxiv.org/abs/2402.10972
Publikováno v:
Software: Practice and Experience, 48(10), 2018
Data centers handle impressive high figures in terms of energy consumption, and the growing popularity of Cloud applications is intensifying their computational demand. Moreover, the cooling needed to keep the servers within reliable thermal operatin
Externí odkaz:
http://arxiv.org/abs/2312.10663
Autor:
Cárdenas, Román, Arroba, Patricia, Blanco, Roberto, Malagón, Pedro, Risco-Martín, José L., Moya, José M.
Publikováno v:
Simulation Modelling Practice and Theory, 101, 2019
The Internet of Things is transforming our society by monitoring users and infrastructures' behavior to enable new services that will improve life quality and resource management. These applications require a vast amount of localized information to b
Externí odkaz:
http://arxiv.org/abs/2312.02172
An increasing amount of data is being injected into the network from IoT (Internet of Things) applications. Many of these applications, developed to improve society's quality of life, are latency-critical and inject large amounts of data into the net
Externí odkaz:
http://arxiv.org/abs/2304.04450
Autor:
Zapater, Marina, Risco-Martín, José L., Arroba, Patricia, Ayala, José L., Moya, José M., Hermida, Román
Data Centers are huge power consumers, both because of the energy required for computation and the cooling needed to keep servers below thermal redlining. The most common technique to minimize cooling costs is increasing data room temperature. Howeve
Externí odkaz:
http://arxiv.org/abs/2211.06329
Publikováno v:
Appl Intell 53, 1469-1486 (2023)
The Cloud paradigm is at a critical point in which the existing energy-efficiency techniques are reaching a plateau, while the computing resources demand at Data Center facilities continues to increase exponentially. The main challenge in achieving a
Externí odkaz:
http://arxiv.org/abs/2201.06147
Autor:
Díaz, Luis Antonio, Suárez, Marta, Bartolomé, Jose Florindo, Lopez-Esteban, Sonia, Cabal, Belén, Moreno, Arnaldo, Bordes, María del Carmen, Fernández, Adolfo, Pecharromán, Carlos, Moya, José Serafin
Publikováno v:
In Boletín de la Sociedad Española de Cerámica y Vidrio March-April 2024 63(2):104-114
Autor:
Berna Moya, Jose Luis1 (AUTHOR) j.berna@sussex.ac.uk, van Oosterhout, Anke2 (AUTHOR) a.v.oosterhout@tue.nl, Marshall, Mark T.3 (AUTHOR) mark.marshall@ul.ie, Martinez Plasencia, Diego4 (AUTHOR) d.plasencia@ucl.ac.uk
Publikováno v:
Sensors (14248220). Feb2024, Vol. 24 Issue 3, p935. 16p.