Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Angel Mur"'
Publikováno v:
Sensors, Vol 24, Iss 20, p 6608 (2024)
An image is a visual representation that can be used to obtain information. A camera on a moving vector (e.g., on a rover, drone, quad, etc.) may acquire images along a controlled trajectory. The maximum visual information is captured during a fixed
Externí odkaz:
https://doaj.org/article/137dafc6f5784a829c0205c5837a1296
Publikováno v:
Sensors, Vol 22, Iss 6, p 2334 (2022)
The location of the plane is key during the landing operation. A set of sensors provides data to get the best estimation of plane localization. However, data can contain anomalies. To guarantee correct behavior of the sensors, anomalies must be detec
Externí odkaz:
https://doaj.org/article/5c10dc884e614a45bc91aa731b16edf9
Publikováno v:
Sensors, Vol 19, Iss 10, p 2302 (2019)
Objective: The activity of the brain can be recorded by means of an electroencephalogram (EEG). An EEG is a multichannel signal related to brain activity. However, EEG presents a wide variety of undesired artefacts. Removal of these artefacts is ofte
Externí odkaz:
https://doaj.org/article/5bb370ff21204346a4627ad809c85abf
Publikováno v:
Sensors, Vol 16, Iss 4, p 590 (2016)
In this paper, we propose a new unsupervised method to automatically characterize and detect events in multichannel signals. This method is used to identify artifacts in electroencephalogram (EEG) recordings of brain activity. The proposed algorithm
Externí odkaz:
https://doaj.org/article/4f37df2d2b0f49ae829ab2235630edb7
Publikováno v:
Expert Systems with Applications. 75:56-62
In this paper, we present a new method to determine the optimal number of independent components after applying an Independent Component Analysis (ICA) to a set of mixed signals. The proposed method, called Linear Correlations between Components (LCC
Publikováno v:
Expert Systems with Applications. 54:294-303
An unsupervised method to classify MC signals with unknown events is presented.An optimal detection and characterization of events is found.Hand movements are classified using EMG recordings. In this paper, we present a new unsupervised method to cla
Autor:
Nayarit A. Mata, Marcela Arango-Ospina, Pablo Velasquez, Angel Murciano, Piedad N. De Aza, Aldo R. Boccaccini
Publikováno v:
Boletín de la Sociedad Española de Cerámica y Vidrio, Vol 62, Iss 2, Pp 145-159 (2023)
In this work, a new combination of ceramic materials is proposed for bone tissue engineering applications. Multilayer scaffolds consisting of a core composed mainly of calcium pyrophosphate and external coatings of silica and calcium doped with Fe3+,
Externí odkaz:
https://doaj.org/article/cf0b6d50b09f42d4879234a38335fb60
Publikováno v:
Boletín de la Sociedad Española de Cerámica y Vidrio, Vol 61, Iss 5, Pp 384-396 (2022)
In this work it is demonstrated the capacity of the sol–gel process to obtain materials with different phases, using the same chemical composition, and modifying only the conditions of hydrolysis and condensation. This method combined with the poly
Externí odkaz:
https://doaj.org/article/6afcf57ff5824a91993180fac5e6fc5a
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 16, Iss 4, p 590 (2016)
Sensors; Volume 16; Issue 4; Pages: 590
Sensors, Vol 16, Iss 4, p 590 (2016)
Sensors; Volume 16; Issue 4; Pages: 590
In this paper, we propose a new unsupervised method to automatically characterize and detect events in multichannel signals. This method is used to identify artifacts in electroencephalogram (EEG) recordings of brain activity. The proposed algorithm
Autor:
Diego Rodríguez-Ortega, José Luis Zambrano, Santiago Pereira-Lorenzo, Andrés Torres, Ángel Murillo
Publikováno v:
Agronomy, Vol 14, Iss 1, p 94 (2023)
Lupinus mutabilis, also known as tarwi or chocho, is an important agricultural species that has been cultivated in South America since ancient times. Tarwi is native to the Andean regions of Peru, Bolivia, and Ecuador and has very high protein conten
Externí odkaz:
https://doaj.org/article/3efccc7373554c4baed3b30c6bd611f5