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Predicting optimal solution cost with conditional probabilities
(Annals of Mathematics and Artificial Intelligence, 2018)
Predicting optimal solution costs with bidirectional stratified sampling in regular search spaces
(Artificial Intelligence, 2018)
Predicting the performance of a parallel heuristic solution for the Steiner Tree Problem
(UR. FI – INCO., 2003)
Nowadays, there is an increasing number of computer intensive applications, which exceed the capacity of a standard stand-alone computer. An alternative is to parallelize the application and run it in a cluster; there has ...
Predictive Control of Parallel Three-Phase Grid-Tied Inverters : A Simple and Effective Solution to Mitigate Circulating Current
(Institute of Electrical and Electronics Engineers Inc., 2021)
High power grid-Tied inverters have attracted increasing attentions in energy conversion and electrical drives applications. Parallel configuration is a promising solution to enlarge the total power rating. However, ...
Model predictive control of multi-line metro systems: A distributed approach
(IEEE, 2011)
Metros are the principal means of public transportation in many of the world's cities. Expanding metro infrastructure is costly, however, and at a certain point becomes unsustainable. When this occurs, the only feasible ...
Vapor pressure of aqueous solutions of electrolytes reproduced with coarse-grained models without electrostatics
(American Chemical Society, 2016-05)
The vapor pressure of water is a key property in a large class of applications from the design of membranes for fuel cells and separations to the prediction of the mixing state of atmospheric aerosols. Molecular simulations ...
Prediction of permeate flux in ultrafiltration processes: a review of modeling approaches
(MDPI, 2021)
In any membrane filtration, the prediction of permeate flux is critical to calculate the membrane surface required, which is an essential parameter for scaling-up, equipment sizing, and cost determination. For this reason, ...
Propuesta de diseño de un modelo de machine learning para estimar costos en proyectos de software
(Universidad Peruana de Ciencias Aplicadas (UPC)PE, 2024)
Prognosis and Detection of Experimental Failures in Open Field Diesel Engines Applying Wienerˈs Artificial Immunological Systems
(2021-12-01)
The high costs of open-field diesel engines arise from the lack of maintenance of these systems. Thus, the maintenance of this equipment has been treated as a great challenge, as some methods of data monitoring are not ...