Zobrazeno 1 - 10
of 89
pro vyhledávání: '"David Munoz-Rodriguez"'
Publikováno v:
Sensors, Vol 23, Iss 13, p 5987 (2023)
The current trends in 5G and 6G systems anticipate vast communication capabilities and the deployment of massive heterogeneous connectivity with more than a million internet of things (IoT) and other devices per square kilometer and up to ten million
Externí odkaz:
https://doaj.org/article/ebbae3c2f8d4417e9fd100cc9af6d2b8
Publikováno v:
Sensors, Vol 21, Iss 22, p 7626 (2021)
Location-based applications for security and assisted living, such as human location tracking, pet tracking and others, have increased considerably in the last few years, enabled by the fast growth of sensor networks. Sensor location information is e
Externí odkaz:
https://doaj.org/article/47c48945fe604c549defba33cca6471a
Publikováno v:
Applied Sciences, Vol 11, Iss 19, p 8907 (2021)
Industry 4.0, or smart factory, refers to the fourth industrial revolution, as a result of which it is expected that massive sensor deployment, high device connectivity, automation, and real-time data acquisition support improve industrial processes.
Externí odkaz:
https://doaj.org/article/a548a1ba65b44a048ed696b9b0018621
Autor:
Melody Patricia Rodrigues Méndez, David Muñoz-Rodríguez, Rosendo Arturo de Jesús Aragón-Pech, José Octavio Macías Macías, José Javier G. Quezada-Euán
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Cuticular hydrocarbon (CHCs) variation has been detected in various insect taxa, but the potential contribution of cuticular compounds for analyzing intraspecific diversity at the population level has been little explored. Here we assess for
Externí odkaz:
https://doaj.org/article/4d835333c99142e1939dba9ef9f74dfe
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 22
Sensors, Vol 21, Iss 7626, p 7626 (2021)
Sensors
Volume 21
Issue 22
Sensors, Vol 21, Iss 7626, p 7626 (2021)
Location-based applications for security and assisted living, such as human location tracking, pet tracking and others, have increased considerably in the last few years, enabled by the fast growth of sensor networks. Sensor location information is e
Autor:
Jordan Abarca-Albores, Danna Cristina Gutiérrez Cabrera, Luis Antonio Salazar-Licea, Dante Ruiz-Robles, Jesus Alejandro Franco, Alberto-Jesus Perea-Moreno, David Muñoz-Rodríguez, Quetzalcoatl Hernandez-Escobedo
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 8090 (2024)
This paper presents a novel methodology for detecting faults in wind turbine blades using computational learning techniques. The study evaluates two models: the first employs logistic regression, which outperformed neural networks, decision trees, an
Externí odkaz:
https://doaj.org/article/dd77e3773b4f49a28ca0cb415872056f
Publikováno v:
Wireless Personal Communications. 96:1245-1263
A low-complexity vertex-projection method based on a pyramidal trilateration technique suitable for node position estimation in ad-hoc/sensor network scenarios is presented. Also a maximum likelihood position location is introduced to compare positio
Autor:
Rafaela Villalpando-Hernandez, Luis Rizo-Dominguez, Cesar Vargas-Rosales, David Munoz-Rodriguez
Publikováno v:
IEEE Communications Letters. 21:124-127
Position location information (PLI) has become a crucial requirement for the provision of multiple location-based services in cellular and wireless ad hoc networks. As sensor networks and Internet of Things scenarios proliferate, 3-D position locatio
Autor:
Marwane Bourqqia-Ramzi, Jesús Mansilla-Guardiola, David Muñoz-Rodriguez, Elisa Quarta, Juan Lombardo-Hernandez, Antonio Murciano-Cespedosa, Francisco José Conejero-Meca, Álvaro Mateos González, Stefano Geuna, María Teresa Garcia-Esteban, Celia Herrera-Rincon
Publikováno v:
International Journal of Molecular Sciences, Vol 25, Iss 11, p 6233 (2024)
The gut microbiome plays a fundamental role in metabolism, as well as the immune and nervous systems. Microbial imbalance (dysbiosis) can contribute to subsequent physical and mental pathologies. As such, interest has been growing in the microbiota
Externí odkaz:
https://doaj.org/article/a1056615e71546b3a828ee839f28c1af
Autor:
Juan Lombardo-Hernández, David Muñoz-Rodríguez, Marwane Bourqqia-Ramzi, Pablo Garcia-Pérez, Antonio Murciano, Stefano Geuna, Francisco Conejero, Alvaro Mateos González, M.T Garcia-Esteban, Celia Herrera-Rincón
Publikováno v:
IBRO Neuroscience Reports, Vol 15, Iss , Pp S227-S228 (2023)
Externí odkaz:
https://doaj.org/article/ad5e5ed244c9445aa5d5d947a3504964