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Reinforced concrete deterioration caused by contaminated construction water: an overview
(Corporación Universidad de la Costa, 2020-10)
Over the years, there were cases of building failures in most developing countries of the world that have led to the loss of lives and property. Yet, most investigations conducted on the causes of building failures have ...
Bayesian classifier applied to higher education dropout
(Procedia Computer Science, 2019)
The research proposes a new simple Bayesian classifier (SBND) with Markov from the class variable to a network structure. Experimental tests are carried out by working a dropout analysis on students enrolled in the Faculty ...
Competitiveness indicator in colombia through of multivariable statistics
(Universidad de la Costa, 2019)
The objective of this research is to estimate a competitiveness indicator in Colombia through a factorial methodology of principal components. A competitiveness indicator was estimated presenting significant correlations ...
Web platform for the identification and analysis of events on twitter
(Corporación Universidad de la Costa, 2020)
Due to the great popularity of social networks among people, businesses, public figures, etc., there is a need for automatic methods to facilitate the search, retrieval, and analysis of large amounts of information. Given ...
Texture analysis in skull magnetic resonance imaging
(Corporación Universidad de la Costa, 2020)
raumatic brain injury (TBI) represents a serious public health problem worldwide. It is the most common cause of death and disability in the young population (aged 15–45 years), with major family, social and economic ...
Dropout-permanence analysis of university students using data mining
(Universidad de la Costa, 2019)
Dropout is a rejection method present in every educational system,
related to the various selection processes, academic performance, and the efficiency of the system in general, that is, the result of the combination and ...
Hybrid cloud computing architecture based on open source technology
(Universidad de la Costa, 2019)
The advance of technologies such as distributed computing, Internetand grid computing, have enabled Cloud Computing to become part of a new model of computing and business. Cloud Computing is transforming the traditional ...
Demand forecasting method using artificial neural networks
(Universidad de la Costa, 2019)
Based on a forecast, the decision maker can determine the capacity required to meet a certain forecast demand, as well as carry out in advance the balance of capacities in order to avoid underusing or bottlenecks. This ...
Electrical consumption patterns through machine learning
(Journal of Physics: Conference Series, 2020)
Electricity distribution companies have been incorporating new technologies that allow them to obtain complete information in real time about their customers´ consumption. Thus, a new concept called "Smart Metering" has ...
Neural network configuration for pollen analysis
(Corporación Universidad de la Costa, 2020)
Palynology is a botanical discipline devoted to the study of pollen and spores [1], focusing mainly on the analysis of the external morphology that presents structural patterns different from those of the variations in the ...