Zobrazeno 1 - 10
of 24
pro vyhledávání: '"M. A. Aceves-Fernandez"'
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2018 (2018)
This work presents the use of swarm intelligence algorithms as a reliable method for the optimization of electroencephalogram signals for the improvement of the performance of the brain interfaces based on stable states visual events. The preprocessi
Externí odkaz:
https://doaj.org/article/c2a3642027e8498ea3875188fc8085c6
Akademický článek
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Autor:
M. A. Aceves-Fernandez
Publikováno v:
Nonlinear Dynamics. 104:1491-1505
Dealing with electroencephalogram signals (EEG) is often not easy. The lack of predicability and complexity of such non-stationary, noisy and high-dimensional signals is challenging. Cross recurrence plots (CRP) have been used extensively to deal wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6af401087fa6927cc6d292528c2c660
https://doi.org/10.1007/s11071-021-06336-z
https://doi.org/10.1007/s11071-021-06336-z
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a0b4736932ac34ab71c377f92030adf
https://doi.org/10.1155/2019/6408941
https://doi.org/10.1155/2019/6408941
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bba495a9ad963f9faa797238655f05b6
https://doi.org/10.1007/s12530-019-09263-y
https://doi.org/10.1007/s12530-019-09263-y
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2018 (2018)
This work presents the use of swarm intelligence algorithms as a reliable method for the optimization of electroencephalogram signals for the improvement of the performance of the brain interfaces based on stable states visual events. The preprocessi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af113df7dc7fb74c9f92d146f7b0aeb7
https://doi.org/10.1155/2018/2143873
https://doi.org/10.1155/2018/2143873
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0dbd6d786d194e80ca81aa2c5158c98b
https://doi.org/10.1007/s12530-017-9213-9
https://doi.org/10.1007/s12530-017-9213-9
Publikováno v:
Data in Brief, Vol 25, Iss, Pp-(2019)
A set of electroencephalogram (EEG) data from 29 subjects obtained from a study, in which the subjects performed a set of tests based on visual stimuli and motor images of the hands is presented. Three types of data are provided in this article: (1)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55a942a86ba41669a24a92133347632c
http://www.sciencedirect.com/science/article/pii/S2352340919302227
http://www.sciencedirect.com/science/article/pii/S2352340919302227
Development BCI system based stay state visual evoked potential (SSVEP), require establish the characteristics of the stimuli presented the user for optimal development of the extraction of signal characteristics; for it is necessary to determine the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ff04c4049e9fea912c02bd8ed1885fd
Autor:
M. A. Aceves-Fernandez, J.C. Pedraza-Ortega, Saul Tovar-Arriaga, Efren Gorrostieta-Hurtado, Juan-Manuel Ramos-Arreguin, L. A. Zúñiga-Avilés, Jose Emilio Vargas-Soto
Publikováno v:
Journal of Intelligent & Robotic Systems. 76:267-282
This paper presents a novel methodology for positioning an explosive ordnance device (EOD) which consists of a mobile manipulator with 12° of freedom. The approach uses an extension of a homogeneus transformation graph (HTG) which can be used in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18177fbd5eeb001c4cad4d2d97539867
https://doi.org/10.1007/s10846-014-0032-y
https://doi.org/10.1007/s10846-014-0032-y