Buscar
Mostrando ítems 1-10 de 21
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 ...
Competitions of multi-agent systems for teaching artificial intelligence
(Universidad de la Costa, 2019)
This paper presents an approach based on competitions of multiagent systems as the basis for teaching advanced topics in Artificial Intelligence.
The method was applied in the Cognitive Robotics course with students of ...
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 ...
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 ...
Classification of mitochondrial network images associated with the study of breast cancer
(Corporación Universidad de la Costa, 2020)
Within various cellular processes, an increase in fission (a division of a single organelle into two or more independent structures) causes mitochondrial fragmentation and an increase in fusion (the opposite reaction of ...
Convolutional neural network with multi-column characteristics extraction for image classification
(Corporación Universidad de la Costa, 2020)
In the last few decades, the constant growth of digital images, as the main source of information representation for scientific applications, has made image classification a challenging task. To achieve high classification ...
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 ...
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 ...
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 ...