Zobrazeno 1 - 10
of 32
pro vyhledávání: '"J. M. Ramos-Arreguin."'
Autor:
J. M. Ramos-Arreguin, Julio Alberto Ramirez-Montanez, David Barrero-González, Marco Antonio Aceves-Fernandez
Publikováno v:
Earth Science Informatics. 15:125-135
In this work an Elman Recurrent Neural Network (a type of Simple Recurrent Neural Network) is used for predicting the concentration of airborne pollutants O3, PM2.5 and PM10, which have a non-linear behavior, using data from Red Auto´ma´tica de Mon
Akademický článek
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Autor:
V. M. Martínez-Suárez, J. C. Pedraza-Ortega, S. Salazar-Colores, O. A. Espinosa-Bernal, J. M. Ramos-Arreguin
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031180811
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc3ac1cb8c5fae311b42865eaced1dd4
https://doi.org/10.1007/978-3-031-18082-8_8
https://doi.org/10.1007/978-3-031-18082-8_8
Publikováno v:
Computational and Mathematical Methods in Medicine, Vol 2019 (2019)
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine
Dealing with electromyography (EMG) signals is often not simple. The nature of these signals is nonstationary, noisy, and high dimensional. These EMG characteristics make their predictability even more challenging. Cross recurrence plots (CRPs) have
Autor:
B. Ordóñez-De León, S. M. Fernandez-Fraga, J. M. Ramos-Arreguin, Efren Gorrostieta-Hurtado, M. A. Aceves-Fernandez
Publikováno v:
Evolving Systems. 11:615-624
Nowadays, it is of paramount importance for human health the monitoring and modelling of air quality. Among the different pollutants, there are some that are considerable more difficult to model due to their chemical composition. Some of these are pa
Autor:
Marco-Antonio Aceves, Rene de Jesus Romero-Troncoso, Jesus Carlos Pedraza-Ortega, Efren Gorrostieta-Hurtado, Sandra Canchola, J. M. Ramos-Arreguin
Publikováno v:
Robot Manipulators Trends and Development
The manipulator robots have many applications, such as industrial process, objects translation, process automation, medicine process, etc. Therefore, these kind of robots are studied in many ways. However, most of the reported works use electrical or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fb77719c755a619e1acc6ddc2c010ac
http://www.intechopen.com/articles/show/title/dynamic-behavior-of-a-pneumatic-manipulator-with-two-degrees-of-freedom
http://www.intechopen.com/articles/show/title/dynamic-behavior-of-a-pneumatic-manipulator-with-two-degrees-of-freedom
Akademický článek
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Autor:
S. M. Fernandez-Fraga, M. A. Aceves-Fernandez, J.C. Pedraza-Ortega, J. M. Ramos-Arreguin, Juvenal Rodríguez-Reséndiz
Publikováno v:
Evolving Systems. 10:97-109
Dealing with electroencephalography (EEG) signals is often not simple. Steady-state visual evoked potentials (SSVEP) are signals even more difficult to determine or detect accurately. Given their non-stationary, lack of predictability, quality of rec
Publikováno v:
2019 IEEE Colombian Conference on Applications in Computational Intelligence (ColCACI).
Diabetic retinopathy (DR) is a disease with different degrees of severity. The patterns that denote the presence of the disease are varied; when the disease is in low level severity it’s hard to find the features that represent the presence of DR.
Autor:
Eduardo Cabal-Yepez, Sergio Ledesma, Luis M. Ledesma-Carrillo, J. M. Ramos-Arreguin, Guillermo Botella, Sebastián Salazar-Colores
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society.
Outdoor images are used in a vast number of applications, such as surveillance, remote sensing, and autonomous navigation. The greatest issue with these types of images is the effect of environmental pollution: haze, smog, and fog originating from su