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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 ...
Real road networks on digital maps with applications in the search for optimal routes
(Corporación Universidad de la Costa, 2021)
Google Maps web mapping service allows, through its extensive API development tool, to extract, process and store updated and real-time road information such as the aerial view of a road network, the travel time and distance ...
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. ...
Multiple linear regression analysis of factors affecting the consumption
(Universidad de la Costa, 2019)
Econometrics provides the researchers with methods, theoretical basements, and procedures that allow the formulation and estimation of economic models that explain the study variable during a reference time period, as well ...
Model and simulation of a distribution logistic system for learning
(Procedia Computer Science, 2019)
Computer-based simulation is one of the most extensively used tools of Information and Communication Technologies (ICT). This technique allows to simulate the operation of different kinds of facilities or processes in the ...
Methodology for processing time series using machine learning
(Corporación Universidad de la Costa, 2020)
There are currently countless applications that can be cited in different areas of research and industry, where the data are represented in the form of time series. In the last few years, a dramatic explosion in the amount ...
Learning style preferences of college students using big data
(Procedia Computer Science, 2019)
Learning styles is one of the most studied topics in the field of education and the research results have generated relevant changes in the teaching-learning process. Currently, there are several theoretical models that ...
Improvements for determining the number of clusters in k-means for innovation databases in SMEs
(Procedia Computer Science, 2019)
The Automatic Clustering using Differential Evolution (ACDE) is one of the grouping methods capable of automatically
determining the number of the cluster. However, ACDE continues making use of the strategy manual to ...
Mixture structural equation models for classifying university student dropout in latin america
(Procedia Computer Science, 2019)
This research seeks to develop a model that allows consider the different forms of heterogeneity of international dropout data and also classify students who continue studying and those who drop out. Specifically, through ...
Risk analysis of using big data in computer sciences
(Procedia Computer Science, 2019)
Today, as technologies mature and people are encouraged to contribute data to organizations’ databases, more transactions are being captured than ever before. Meanwhile, improvements in data storage technologies have made ...