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Mostrando ítems 11-20 de 23
Unbalanced data processing using oversampling: machine Learning
(Corporación Universidad de la Costa, 2020)
Nowadays, the DL algorithms show good results when used in the solution of different problems which present similar characteristics as the great amount of data and high dimensionality. However, one of the main challenges ...
Classification of authors for an automatic recommendation process for criminal responsibility
(Corporación Universidad de la Costa, 2020)
One problem in classifying tasks is the handling of features that characterize classes. When the list of features is long, a noise resistant algorithm of irrelevant features can be used, or these features can be reduced. ...
An early warning method for agricultural products price spike based on artificial neural networks prediction
(Universidad de la Costa, 2020)
In general, the agricultural producing sector is affected by the diversity in supply, mostly from small companies, in addition to the rigidity of the demand, the territorial dispersion, the seasonality or the generation ...
Factors that describe the use of digital devices in Latin American universities
(Corporación Universidad de la Costa, 2020)
Mobile digital devices are at the same time a tool for social interaction, an individual learning resource and can be a valuable contribution in the context of higher education to develop and promote new teaching and ...
Analysis of crowd behavior through pattern virtualization
(Corporación Universidad de la Costa, 2020)
The study of the concentration of individuals in public places such as squares, shopping malls, parks, gardens, etc., is an open study field in the different disciplines of science, that leads to the need of having systems ...
Design and implementation of a system to determine tax evasion through de stochastic techniques
(Corporación Universidad de la Costa, 2020)
The dominant view on the study and practice of the tax service, mentions that taxpayers will always seek their own interest, for that reason taxes will be considered costs that could be avoided, unless the probability of ...
Classification of digitized documents applying neural networks
(Universidad de la Costa, 2020-03-05)
The exponential increase of the information available in digital format during the last years and the expectations of future growth make it necessary for the organization of information in order to improve the search and ...
Analytical study of radiative casson nanoliquid flow with heat absorption
(Corporación Universidad de la Costa, 2020)
The divergence of thermally radiative MHD flow of a Casson nanofluid over a stretching paper alongside heat absorption. The governing non linear equations are remodeled into a nonlinear ODE’s. The HAM is adopted to find ...
Computational analysis of third-grade liquid flow with cross diffusion effects: application to entropy modeling
(Corporación Universidad de la Costa, 2020)
The key goal of this current study is to analyze the entropy generation with cross diffusion effects. The third-grade type non-Newtonian fluid model is used in this study. The current flow problem is modelled with stretching ...
Approach for the classification of polliniferous vegetation using multispectral imaging and neural networks
(Corporación Universidad de la Costa, 2020)
Beekeeping has suffered a serious deterioration in the regions of the world. The possibility of nectar-polliniferous resources has decreased and, therefore, the feeding of bees, with the consequent decrease in production. ...