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Silva, Jesús (21)
Varela Izquierdo, Noel (21)
Pineda, Omar (18)Pineda Lezama, Omar Bonerge (2)Zilberman, Jack (2)Bravo Núñez, Narledis (1)Cabrera, Danelys (1)Cueto, Eduardo Nicolas (1)de la Hoz, Boris (1)Diaz Arroyo, Esperanza (1)... View MoreSubjectDeep learning (2)Genetic algorithm (2)Image classification (2)Agile software projects (1)Analysis of correlation matrix (1)Arboles de decisión (1)Artificial Intelligence (1)Artificial neural networks (1)Artificial organic networks in advertising (1)Bank credit (1)... View MoreDate Issued2020 (19)2019 (2)Has File(s)Yes (21)

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Engineering teaching: simulation, industry 4.0 and big data 

Silva, Jesús; Gaitán, Mercedes; Varela Izquierdo, Noel; Pineda, Omar (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 ...
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CTR prediction of internet ads using artificial organic networks 

Silva, Jesús; Varela Izquierdo, Noel; Cabrera, Danelys; Pineda, Omar (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 ...
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Study of the principal component analysis in air quality databases 

Silva, Jesús; Londoño, Luz Adriana; Varela Izquierdo, Noel; Pineda, Omar (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 ...
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Competitions of multi-agent systems for teaching artificial intelligence 

Silva, Jesús; Pineda Lezama, Omar Bonerge; Varela Izquierdo, Noel (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 ...
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Vehicle flow prediction through probabilistic modeling 

Silva, Jesús; Varela Izquierdo, Noel; Pineda, Omar; Álvarez, Vladimir; de la Hoz, Boris (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, ...
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Thermographic imaging for use in artificial intelligence and vision algorithms 

Silva, Jesús; Echeverría, Ana María; Varela Izquierdo, Noel; Pineda, Omar (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 ...
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Management system for optimizing public transport networks: GPS record 

Silva, Jesús; GUERRA ALEMAN, ERICK; Varela Izquierdo, Noel; Pineda, Omar (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 ...
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Performance evaluation of a hybrid vehicle and sensor network to prevent traffic accidents 

Silva, Jesús; Varela Izquierdo, Noel; Pineda, Omar (Corporación Universidad de la Costa, 2020)
In recent years, wireless networks have become a widespread communication technology as well as a research challenge. Many contributions have been made on ad hoc networks, such as wireless sensor networks (WSNs) and vehicular ...
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Deep learning of robust representations for multi-instance and multi-label image classification 

Silva, Jesús; Varela Izquierdo, Noel; Mendoza Palechor, Fabio; Pineda, Omar (Corporación Universidad de la Costa, 2020)
In multi-instance problems (MIL), an arbitrary number of instances is associated with a class label. Therefore, the labeling of training data becomes simpler (since it is done together, instead of individually) with the ...
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Convolutional neural network with multi-column characteristics extraction for image classification 

Silva, Jesús; Varela Izquierdo, Noel; Patiño-Saucedo, Janns A.; Pineda, Omar (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 ...
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