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Predicting efficiency in master-slave grid computing systems
(Oxford University Press - OUPOxford, 2013-06)
This work reports a quantitative analysis to predicting the efficiency of distributed computing running in three models of complex networks: Barabási-Albert, Erdõs-Rényi and Watts-Strogatz. A master-slave computing model ...
Computational Intelligence Applied to Financial Price Prediction: A State of the Art Review
(Facultad de Finanzas, Gobierno y Relaciones Internacionales, 2011-07-01)
The following work aims to review the most important research from computational intelligence applied to the financial price prediction problem. The article is organized as follows: The first section summarizes the role ...
Evaluation of type-2 diabetes progress in adult patients by using predictive algorithms
(Institute of Electrical and Electronics Engineers Inc., 2016-10)
We used computational simulation inside a teleconsult scheme to predict the levels of diabetes progress of a sample of type-2 diabetes adult patients. Concretely, we have used computational algorithms to estimate the ...
Predictive Control of the mineral particle size with kernel-reduced volterra models in a balls mill grinding circuit
(Institute of Electrical and Electronics Engineers Inc., 2015-06)
We report the results of the application of the Model-based Predictive Control (MPC) algorithm for a 3×3 MIMO balls mill grinding system by using computational simulation and Monte Carlo data generation. For this purpose, ...
Internet of Things Based Smart Grids Supported by Intelligent Edge Computing
(Institute of Electrical and Electronics Engineers Inc., 2019)
In this paper, an edge computing system for IoT-based (Internet of Things) smart grids is proposed to overcome the drawbacks in the current cloud computing paradigm in power systems, where many problems have yet to be ...
Oil reservoir quality assisted by machine learning and evolutionary computation
(2016-08-11)
The main target of oil and gas exploration companies is to identify reservoirs and their location with high accuracy. For this purpose, all efforts are applied to reduce uncertainties and risks of water contamination or ...
Towards integrating mobile devices into dew computing: A model for hour-wise prediction of energy availability
(MDPI AG, 2019-02)
With self-provisioning of resources as premise, dew computing aims at providing computing services by minimizing the dependency over existing internetwork back-haul. Mobile devices have a huge potential to contribute to ...
Contention-sensitive static performance prediction for parallel distributed applications
(Elsevier Science BvAmsterdamHolanda, 2006)