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Mostrando ítems 1-10 de 26
An ANN-Based Smart Tomographic Reconstructor in a Dynamic Environment
(MDPI, 2012)
In astronomy, the light emitted by an object travels through the vacuum of space and then the turbulent atmosphere before arriving at a ground based telescope. By passing through the atmosphere a series of turbulent layers ...
Artificial immune systems as a novel soft computing paradigm
(SpringerNew YorkEUA, 2003)
Comparison of Statistical Downscaling Methods for Monthly Total Precipitation: Case Study for the Paute River Basin in Southern Ecuador
(2016)
Downscaling improves considerably the results of General Circulation Models (GCMs). However, little information is available on the performance of downscaling methods in the Andean mountain region. The paper presents the ...
Immunopeptidomic Data Integration to Artificial Neural Networks Enhances Protein-Drug Immunogenicity Prediction
(Frontiers Media S.A., 2020-06)
Recombinant DNA technology has, in the last decades, contributed to a vast expansion of the use of protein drugs as pharmaceutical agents. However, such biological drugs can lead to the formation of anti-drug antibodies ...
ANN-based soft-sensor for real-time process monitoring and control of an industrial polymerization process
(Pergamon-elsevier Science LtdOxfordInglaterra, 2009)
Development of real-time state estimators for reaction-separation processes: A continuous flash fermentation as a study case
(Elsevier Science SaLausanneSuíça, 2010)
Reviving traditional blast furnace models with new mathematical approach
(Maney PublishingLeedsInglaterra, 2007)
Hybrid modeling of inulinase bio-production process
(John Wiley & Sons LtdChichesterInglaterra, 2010)
MODELADO DE LA TENSIÓN SUPERFICIAL DE LÍQUIDOS PUROS MEDIANTE UNA RED NEURONAL ARTIFICIAL
(2011-10-06)
In this work, a modeling approach based on the use of an artificial neural network (ANN) was developed to estimate the surface tension value of pure liquids within a wide temperature range from the triple point up to the ...