Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Daniel Zurita"'
Publikováno v:
Antropología Cuadernos de Investigación, Iss 27 (2023)
Este estudio trata sobre los procesos históricos de racionalización de las interacciones humano-mastodonte en Ecuador, siendo el enfoque principal el mastodonte de Alangasí. Esta investigación también examina la documentación colonial española
Externí odkaz:
https://doaj.org/article/0a420148de2b4a8fbb6db3d151942b69
Autor:
Christian David Alcívar León, Jonathan Buenaño-Peñafiel, Pablo Bonilla-Valladares, Trosky Yánez-Darquea, Daniel Zurita-Saltos, Sonia Ulic, Luis Ramos-Guerrero
Publikováno v:
infoANALITÍCA, Vol 10, Iss 2 (2022)
Se estudió por métodos teóricos la naturaleza de las principales interacciones intermoleculares, a partir del análisis de archivos de información cristalográfica (CIF) de moléculas pseudohalogenadas CCl2FSCN*, CCl3SCN*, ClC(O)SCN*, FC(O)NCS*,
Externí odkaz:
https://doaj.org/article/1d684ea341ab4f2690a1d91aac610655
Publikováno v:
infoANALITÍCA (2021)
Las celdas de combustible microbianas son dispositivos que permiten transformar energía química almacenada en compuestos orgánicos en energía eléctrica, utilizando microrganismos depositados sobre un electrodo. Entre las ventajas que posee esta
Externí odkaz:
https://doaj.org/article/4f3abca4171e4c7cae13a73624e19b24
Publikováno v:
IEEE Access, Vol 7, Pp 64127-64135 (2019)
Artificial intelligence has bounced into industrial applications contributing several advantages to the field and have led to the possibility to open new ways to solve many actual problems. In this paper, a data-driven performance evaluation methodol
Externí odkaz:
https://doaj.org/article/3f9de6fcf887466f91193e4ba1607389
Autor:
Jesus A. Carino, Miguel Delgado-Prieto, Jose Antonio Iglesias, Araceli Sanchis, Daniel Zurita, Marta Millan, Juan Antonio Ortega Redondo, Rene Romero-Troncoso
Publikováno v:
IEEE Access, Vol 6, Pp 49755-49766 (2018)
An industrial machinery condition monitoring methodology based on ensemble novelty detection and evolving classification is proposed in this study. The methodology contributes to solve current challenges dealing with classical electromechanical syste
Externí odkaz:
https://doaj.org/article/8a74db3aacde448a940a78f7939009d1
Autor:
Jesus A. Carino, Miguel Delgado-Prieto, Daniel Zurita, Marta Millan, Juan Antonio Ortega Redondo, Rene Romero-Troncoso
Publikováno v:
IEEE Access, Vol 4, Pp 7594-7604 (2016)
This paper presents a condition-based monitoring methodology based on novelty detection applied to industrial machinery. The proposed approach includes both the classical classification of multiple a priori known scenarios, and the innovative detecti
Externí odkaz:
https://doaj.org/article/b3df522828884477a1514f6ca6613a16
Publikováno v:
IEEE Access, Vol 4, Pp 6151-6160 (2016)
Industrial process monitoring and modeling represent a critical step in order to achieve the paradigm of zero defect manufacturing. The aim of this paper is to introduce the neo-fuzzy neuron method to be applied in industrial time series modeling. It
Externí odkaz:
https://doaj.org/article/063570599338465a82c7d58bcbdda4fe
Autor:
Jesus Adolfo Cariño-Corrales, Juan Jose Saucedo-Dorantes, Daniel Zurita-Millán, Miguel Delgado-Prieto, Juan Antonio Ortega-Redondo, Roque Alfredo Osornio-Rios, Rene de Jesus Romero-Troncoso
Publikováno v:
Shock and Vibration, Vol 2016 (2016)
This paper presents an adaptive novelty detection methodology applied to a kinematic chain for the monitoring of faults. The proposed approach has the premise that only information of the healthy operation of the machine is initially available and fa
Externí odkaz:
https://doaj.org/article/3b8a8c3aef014ff6b1dece0f5922b77b
Autor:
Daniel Zurita-Millán, Miguel Delgado-Prieto, Juan José Saucedo-Dorantes, Jesus Adolfo Cariño-Corrales, Roque A. Osornio-Rios, Juan Antonio Ortega-Redondo, Rene de J. Romero-Troncoso
Publikováno v:
Shock and Vibration, Vol 2016 (2016)
Vibration monitoring plays a key role in the industrial machinery reliability since it allows enhancing the performance of the machinery under supervision through the detection of failure modes. Thus, vibration monitoring schemes that give informatio
Externí odkaz:
https://doaj.org/article/024ecdf0c4524b9e9a3a9b44700329e6
Autor:
Elizabeth Chacon-Baca, Karen Moreno, Juliana Sterli, Karina E. Buldrini, César Augusto Chacaltana Budiel, Javier Echevarría, Hermínio Ismael de Araújo Júnior, Renato Pirani Ghilardi, Luz Marina Tejada-Medina, Daniel Zurita-Altamirano
Publikováno v:
PaleoAmerica. 9:1-6
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::842d4a9f96b27bf25e911b9f2320ef04
https://doi.org/10.1080/20555563.2023.2174829
https://doi.org/10.1080/20555563.2023.2174829