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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 ...
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 ...
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 ...
Method for estimating height in people using multivariable statistics
(Procedia Computer Science, 2019)
Determining the sex, age, height, and race of the subject is the initial phase in the identification of bone remains, as a background, it allows to build a biological profile of an individual, which is the first step for ...
Vanet heterogeneous networks with wireless technology variation according to the capacity of users in urban areas
(Corporación Universidad de la Costa, 2020)
As of late, traffic blockage, street mishaps, and ecological contamination brought about by traffic, alongside the need to associate and utilize constant applications, have become issues of worldwide intrigue. Different ...
Methodology for the reduction and integration of data in the performance measurement of industries cement plants
(Springer Verlag, 2018)
The investigation responded to the need outlined by directive and interested parts, in relation to the lack of mechanisms for the administration control and the need to reduce the amount of data when making measurements ...
Comparative analysis between different automatic learning environments for sentiment analysis
(Corporación Universidad de la Costa, 2020)
Sentiment Analysis is a branch of Natural Language Processing in which an emotion is identified through a sentence, phrase or written expression on the Internet, allowing the monitoring of opinions on different topics ...
Design of a network with VANET sporadic cloud computing applied to traffic accident prevention
(Corporación Universidad de la Costa, 2020-07-19)
The study analyzes the bandwidth available in a segment of route in the VANET network, since this value directly affects sporadic cloud computing. For this purpose, the bandwidth was tested on a highly complex urban scenario, ...
Method for the recovery of indexed images in databases from visual content
(Corporación Universidad de la Costa, 2020)
The techniques of content-based image recovery (CBIR) provide a solution to a problem of information retrieval that may arise as follows: from an image of interest to recover or obtain similar images from among those present ...
Geosimulation as a tool for the prevention of traffic accidents
(Corporación Universidad de la Costa, 2021)
Traffic accidents represent a never-ending tragedy, and according to the World Health Organization (2018), 1.33 million people die in the world every year [1]. Most efforts in modeling phenomena of a dynamic nature have ...