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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 ...
Recognition of handwritten digits by image processing methods and classification models
(Corporación Universidad de la Costa, 2020)
OCR (Optical Character Recognition) is a line of research within image processing for which many techniques and methodologies have been developed. Set of pixels recognized based on the digitalized image and this study ...
Coupling architecture between INS/GPS for precise navigation on set paths
(Corporación Universidad de la Costa, 2020)
GPS offers the advantage of providing high long-term position accuracy with residual errors that affect the final positioning solution to a few meters with a sampling frequency of 1 Hz (Marston et al. in Decis Support Syst ...
Software project planning through comparison of Bio-inspired algorithms
(Corporación Universidad de la Costa, 2020-07-19)
Currently many organizations have adopted the development of software projects with agile methodologies, particularly Scrum, which has more than 20 years of development. In these methodologies, software is developed ...
Identification of patterns of fatal injuries in humans through big data
(Corporación Universidad de la Costa, 2020)
External cause injuries are defined as intentionally or unintentionally harm or injury to a person, which may be caused by trauma, poisoning, assault, accidents, etc., being fatal (fatal injury) or not leading to death ...
Bayesian networks applied to climate conditions inside a naturally ventilated greenhouse
(Corporación Universidad de la Costa, 2020)
The prediction of gradients in a naturally ventilated greenhouse is difficult to achieve, due to the inherently stochastic nature of the airflow. Bayesian networks are numerical uncertainty techniques that can be used to ...
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, ...
Morphometric characteristics in discrete domain for brain tumor recognition
(Corporación Universidad de la Costa, 2020)
World Health Organization (WHO) classifies brain tumors by their level of aggressiveness into four grades depending on their aggressiveness or malignancy as I to IV respectively [1]. From this classification of primary ...
Solving the problem of optimizing wind farm design using genetic algorithms
(Corporación Universidad de la Costa, 2020-09-15)
Renewable energies have become a topic of great interest in recent years
because the natural sources used for the generation of these energies are inexhaustible
and non-polluting. In fact, environmental sustainability ...
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 ...