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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 ...
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 ...
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 ...
Vehicle flow prediction through probabilistic modeling
(Corporación Universidad de la Costa, 2020)
Within the area of wireless and mobile communications, ad hoc vehicular networks have generated the interest of different organizations, which has generated a topic of study and analysis for the increase of applications, ...
Recommendation of energy ffficiency indexes for the coffee sector in Honduras using multivariate statistics
(Corporación Universidad de la Costa, 2020-09-08)
The objectives of this study were to define and determine the energy efficiency indexes that should be considered to measure and analyze the energy performance in enterprises engaged in processing green coffee for export. ...
Predicting short-term electricity demand through artificial neural network
(Corporación Universidad de la Costa, 2020)
Forecasting the consumption of electric power on a daily basis allows considerable money savings for the supplying companies, by reducing the expenses in generation and operation. Therefore, the cost of forecasting errors ...
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 ...
Thermographic imaging for use in artificial intelligence and vision algorithms
(Corporación Universidad de la Costa, 2020-09-15)
The constant technological innovation in devices for the acquisition of digital images such as: energy-efficient and high-pixel sensors, memories with greater storage capacity and processors capable of sampling digital ...
Management system for optimizing public transport networks: GPS record
(Corporación Universidad de la Costa, 2020-07-19)
As cities continue to grow in size and population, the design of public transport networks becomes complicated, given the wide diversity in the origins and destinations of users [1], as well as the saturation of vehicle ...