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Psychosocial analysis of policy confidence through multifactorial statistics
(Universidad de la Costa, 2020-12-07)
Trust is defined as widespread belief or rooted value orientation in evaluative standards of technical and ethical competence, and in the future actions of a person (interpersonal trust) or an institution (institutional ...
Sentiment analysis in twitter: Impact of morphological characteristics
(Corporación Universidad de la Costa, 2020)
This paper presents a series of experiments aimed at the sentiment analysis on texts posted in Twitter. In particular, several morphological characteristics are studied for the representation of texts in order to determine ...
Engineering teaching: simulation, industry 4.0 and big data
(Universidad de la Costa, 2020-02-07)
In the educational field, there is a paradigm shift, where the focus is on the student and his active role in the training process, and where there is a turn that involves moving from content teaching to the training of ...
Prediction of academic dropout in university students using data mining: Engineering case
(Corporación Universidad de la Costa, 2020)
Student dropout is considered an important indicator for measuring social mobility and reflecting the social contribution that universities offer. In economic terms, there is evidence that students attribute their decision ...
CTR prediction of internet ads using artificial organic networks
(Corporación Universidad de la Costa, 2020)
For advertising networks to increase their revenues, priority must be given to the most profitable ads. The most important factor in the profitability of an ad is the click-through-rate (CTR) which is the probability that ...
Study of the principal component analysis in air quality databases
(Corporación Universidad de la Costa, 2020-09-15)
Technological development has facilitated daily habits, business, the manufacture
of large quantities of products, among other types of industrial activities; however, these
advances have caused environmental deterioration ...
Prediction of electric consumption using multiple linear regression methods
(Corporación Universidad de la Costa, 2020)
In the new global and local scenario, the advent of intelligent distribution networks, or Smart Grids, allows the collection of data about the operational state of the electric network in real time. Based on this data ...
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 ...
Optimization of driving efficiency for pre-determined routes: proactive vehicle traffic control
(Corporación Universidad de la Costa, 2020-07-19)
With the excessive growth of modern cities, great problems are generated in citizen administration. One of these problems is the control of vehicle flow during peak hours. This paper proposes a solution to the problem of ...
Virtual reality tool for learning sign language in spanish
(Corporación Universidad de la Costa, 2020)
Language is the means of human access to the world. Languages have the virtue of opening up alternative ways of thinking and understanding the place people inhabit, relating to it, expanding it and modifying it. As a ...