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Metaheuristics for a crop rotation problem
(2014)
This paper presents a mathematical model adapted from literature for the crop rotation problem with demand constraints (CRP-D). The main aim of the present work is to study metaheuristics and their performance in a real ...
Applicability of the LASH model for hydrological simulation of the Grande River Basin, Brazil
(American Society of Civil Engineers, 2017)
Implementation of an Induction Motor Mathematical Model for Stator Winding Fault Analysis
(Ieee, 2018-01-01)
Induction motors are versatile, affordable and highly efficient machines, which makes them the principal source of electromechanical power in industrial application. However, induction motors eventually undergo failures, ...
Implementation of an induction motor mathematical model for stator winding fault analysis
(2019-01-25)
Induction motors are versatile, affordable and highly efficient machines, which makes them the principal source of electromechanical power in industrial application. However, induction motors eventually undergo failures, ...
Mathematical modeling and simulation of soluble protein extraction during leaching process in surimi elaboration
(Elsevier, 2013-10)
This work presents a mathematical model to simulate the extraction process of soluble protein from sábalo (Prochilodus platensis) during the surimi elaboration. The mathematical model consists of both partial differential ...
An alternative process for butanol production: Continuous flash fermentation
(2008-02-04)
The objective of this work is to introduce and demonstrate the technical feasibility of the continuous flash fermentation for the production of butanol. The evaluation was carried out through mathematical modeling and ...
An alternative process for butanol production: Continuous flash fermentation
(2008-02-04)
The objective of this work is to introduce and demonstrate the technical feasibility of the continuous flash fermentation for the production of butanol. The evaluation was carried out through mathematical modeling and ...
Sampling Strategies for Uncertainty Reduction in Categorical Random Fields: Formulation, Mathematical Analysis and Application to Multiple-Point Simulations
(Springer Verlag, 2019)
© 2019, International Association for Mathematical Geosciences.The task of optimal sampling for the statistical simulation of a discrete random field is addressed from the perspective of minimizing the posterior uncertainty ...