Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Adán Hernández-Nolasco"'
Autor:
Carlos Javier Ronquillo-Cana, Pablo Pancardo, Martha Silva, José Adán Hernández-Nolasco, Matias Garcia-Constantino
Publikováno v:
Sensors, Vol 22, Iss 10, p 3655 (2022)
Dangerous driving can cause accidents, injuries and loss of life. An efficient assessment helps to identify the absence or degree of dangerous driving to take the appropriate decisions while driving. Previous studies assess dangerous driving through
Externí odkaz:
https://doaj.org/article/1429ae7687b14bddbb443453bb130cd1
Publikováno v:
Applied Intelligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::121aacbcc510826627f1d3e969de1e70
https://doi.org/10.1007/s10489-023-04571-y
https://doi.org/10.1007/s10489-023-04571-y
Autor:
Noel Zacarias-Morales, Pablo Pancardo, José Adán Hernández-Nolasco, Matias Garcia-Constantino
Publikováno v:
Symmetry, Vol 13, Iss 2, p 214 (2021)
Artificial Neural Networks (ANNs) were created inspired by the neural networks in the human brain and have been widely applied in speech processing. The application areas of ANN include: Speech recognition, speech emotion recognition, language identi
Externí odkaz:
https://doaj.org/article/6814efd9a8004b0dbc905ba0ca266898
Autor:
Pablo Pancardo, Francisco D. Acosta, José Adán Hernández-Nolasco, Miguel A. Wister, Diego López-de-Ipiña
Publikováno v:
Sensors, Vol 15, Iss 7, Pp 16956-16980 (2015)
Ambient Assisted Working (AAW) is a discipline aiming to provide comfort and safety in the workplace through customization and technology. Workers’ comfort may be compromised in many labor situations, including those depending on environmental cond
Externí odkaz:
https://doaj.org/article/8ad9581781ff4916a3ad633d6e9a23ad
Publikováno v:
IEEE Access, Vol 9, Pp 29665-29676 (2021)
In fuzzy systems, membership functions determine the groups to which a variable can belong to, and these groups are static or only have one setting in some aspect. However, fuzzy systems typically require to model the dynamic environment they represe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bbc6460e1b4344275e6af91a5a483d5
https://ieeexplore.ieee.org/document/9353484/
https://ieeexplore.ieee.org/document/9353484/
Autor:
Elías Beltrán-Naturi, José Adán Hernández Nolasco, Marie Catherine Boll, Francisco Acosta-Escalante
Publikováno v:
Tecnología Educativa Revista CONAIC. 7:45-52
Las enfermedades de Huntington y Ataxias hereditarias afectan las habilidades motoras de manera progresiva conforme avanza la enfermedad; lo que implica alteraciones en los patrones de marcha y como consecuencia la pérdida del equilibrio y la falta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d456cba97a0655201927f0bf4c1c93bf
https://doi.org/10.32671/terc.v7i1.15
https://doi.org/10.32671/terc.v7i1.15
Akademický článek
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Autor:
Matias Garcia-Constantino, Pablo Pancardo, José Adán Hernández-Nolasco, Noel Zacarias-Morales
Publikováno v:
Symmetry, Vol 13, Iss 214, p 214 (2021)
Artificial Neural Networks (ANNs) were created inspired by the neural networks in the human brain and have been widely applied in speech processing. The application areas of ANN include: Speech recognition, speech emotion recognition, language identi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cdab97fa747d622707ed8cd177a1871
https://www.mdpi.com/2073-8994/13/2/214
https://www.mdpi.com/2073-8994/13/2/214
Autor:
Francisco Acosta-Escalante, Elías Beltrán-Naturi, Marie Catherine Boll, José Adán Hernández-Nolasco
The progressive impairment analysis in gait from neurological diseases patients such as Hereditary Ataxias (HA) has been carried out using gait data collected with movement sensors. This research is focused on finding the minimum amount required of g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19d823d9f883cbec5caadb5af2c18718
https://doi.org/10.20944/preprints202012.0054.v1
https://doi.org/10.20944/preprints202012.0054.v1
Publikováno v:
Mobile Information Systems, Vol 2018 (2018)
Knowing the perceived exertion of workers during their physical activities facilitates the decision-making of supervisors regarding the worker allocation in the appropriate job, actions to prevent accidents, and reassignment of tasks, among others. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dbf1a042acf8bf00a48e2191b4aa9c0
https://doi.org/10.1155/2018/4216172
https://doi.org/10.1155/2018/4216172