Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ofelia Begovich-Mendoza"'
Publikováno v:
Algorithms, Vol 17, Iss 6, p 243 (2024)
First-order algorithms have long dominated the training of deep neural networks, excelling in tasks like image classification and natural language processing. Now there is a compelling opportunity to explore alternatives that could outperform current
Externí odkaz:
https://doaj.org/article/f0c38b6074354ed6a75a4b5d2206db9f
Autor:
Carlos Andrés Rodríguez-Argote, Ofelia Begovich-Mendoza, Adrián Navarro-Díaz, Ildeberto Santos-Ruiz, Vicenç Puig, Jorge Alejandro Delgado-Aguiñaga
Publikováno v:
Water, Vol 15, Iss 17, p 3090 (2023)
In this paper, the two-simultaneous-leak isolation problem in water distribution networks is addressed. This methodology relies on optimal sensor placement together with a leak location strategy using two well-known classifiers: k-NN and discriminant
Externí odkaz:
https://doaj.org/article/7abb049cd80f490f9a38185f4d4bacfe
Publikováno v:
International Journal of Control, Automation and Systems. 19:3588-3597
This work is concerned with a structural characterization of the diagnosability property in Timed Continuous Petri Nets (TCPNs) systems under infinite server semantics. Regarding this problem, three novel results are presented. The first one is the i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a56bfefb1a90031732053ebe083ec814
https://doi.org/10.1007/s12555-020-0447-0
https://doi.org/10.1007/s12555-020-0447-0
Publikováno v:
2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60571e35d48e8cb11936ff67fc880732
https://doi.org/10.1109/ropec53248.2021.9668013
https://doi.org/10.1109/ropec53248.2021.9668013
Publikováno v:
Applied Soft Computing. 62:86-100
In general, to obtain an adequate mathematical model of a greenhouse is a difficult task due to the complexity of the involved equations that describe the dynamics of the system, and the required high number of physical parameters, which are complica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5981e78d5f8dc9fb777c3bd74287e710
https://doi.org/10.1016/j.asoc.2017.10.023
https://doi.org/10.1016/j.asoc.2017.10.023
Autor:
Alan Christian López Fraga, Marco Antonio Ramos Corchado, Ofelia Begovich Mendoza, Felix Francisco. Ramos Corchado, Rafael Salazar Salazar
Publikováno v:
Applied Sciences
Volume 11
Issue 4
Applied Sciences, Vol 11, Iss 1803, p 1803 (2021)
Volume 11
Issue 4
Applied Sciences, Vol 11, Iss 1803, p 1803 (2021)
Pervasive service composition is useful in many scenarios, for instance, in urban planning or controlled harvest. Currently, there is no standard to develop solutions using pervasive service composition. However, big companies propose their framework
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff744a3e6ba4c10d27e39a064e287d01
https://doi.org/10.3390/app11041803
https://doi.org/10.3390/app11041803
Publikováno v:
CCE
The leak location based on Negative Pressure Wave (NPW) is widely used but it is difficult to know which of the variants of this method is better for a real application. This is why, in this paper, a comparison between three NPW based methods to loca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5c472c58d712b13378123d5fd0f62c6
https://doi.org/10.1109/iceee.2017.8108841
https://doi.org/10.1109/iceee.2017.8108841
Autor:
Félix Francisco Ramos Corchado, Alan Christian López Fraga, Rafael Salazar Salazar, Marco Antonio Ramos Corchado, Ofelia Begovich Mendoza
Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1803 (2021)
Pervasive service composition is useful in many scenarios, for instance, in urban planning or controlled harvest. Currently, there is no standard to develop solutions using pervasive service composition. However, big companies propose their framework
Externí odkaz:
https://doaj.org/article/9ec85d7a23c848fabde75073545e0ea8