Zobrazeno 1 - 10
of 73
pro vyhledávání: '"César Asensio"'
Autor:
Carlos Polvorinos-Fernández, Luis Sigcha, Luigi Borzì, Gabriella Olmo, César Asensio, Juan Manuel López, Guillermo de Arcas, Ignacio Pavón
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10189 (2024)
Parkinson’s disease (PD) is the second most common neurodegenerative disorder, entailing several motor-related symptoms that contribute to a reduced quality of life in affected subjects. Recent advances in wearable technologies and computing resour
Externí odkaz:
https://doaj.org/article/fdce76cfc76a46a2a1401989cac1e824
Publikováno v:
Sensors, Vol 22, Iss 24, p 9686 (2022)
The surface condition of roadways has direct consequences on a wide range of processes related to the transportation technology, quality of road facilities, road safety, and traffic noise emissions. Methods developed for detection of road surface con
Externí odkaz:
https://doaj.org/article/ab434a2dea1d425c9e1790b642c9d729
Autor:
Vicente Hernández Franco, Isabel Muñoz San Roque, Silvia Giménez Rodríguez, César Asensio Fuentes
Publikováno v:
Miscelánea Comillas, Vol 63, Iss 122, Pp 73-92 (2019)
This work takes as theoretical background Bandura 's social cognitive theory, and more specifically the concept of self-efficacy, and the sociological status theory. From this background a new construct called self-perceived academic status is sugges
Externí odkaz:
https://doaj.org/article/f92a7a1d63ac4e31a6f3ca9a186d2563
Autor:
Andrés Sio-Sever, Juan Manuel Lopez, César Asensio-Rivera, Antonio Vizan-Idoipe, Guillermo de Arcas
Publikováno v:
Sensors, Vol 22, Iss 10, p 3807 (2022)
This paper presents the implementation of a measurement system that uses a four microphone array and a data-driven algorithm to estimate depth of cut during end milling operations. The audible range acoustic emission signals captured with the microph
Externí odkaz:
https://doaj.org/article/99165230e96d46f48a7c8481e996fd99
Autor:
Javier Esteban-Escaño, Berta Castán, Sergio Castán, Marta Chóliz-Ezquerro, César Asensio, Antonio R. Laliena, Gerardo Sanz-Enguita, Gerardo Sanz, Luis Mariano Esteban, Ricardo Savirón
Publikováno v:
Entropy, Vol 24, Iss 1, p 68 (2021)
Background: Electronic fetal monitoring (EFM) is the universal method for the surveillance of fetal well-being in intrapartum. Our objective was to predict acidemia from fetal heart signal features using machine learning algorithms. Methods: A case
Externí odkaz:
https://doaj.org/article/00bd7923531141429a1e526ae56d0185
Autor:
Juan Manuel López, Jesús Alonso, César Asensio, Ignacio Pavón, Luis Gascó, Guillermo de Arcas
Publikováno v:
Sensors, Vol 20, Iss 3, p 605 (2020)
Presently, large cities have significant problems with noise pollution due to human activity. Transportation, economic activities, and leisure activities have an important impact on noise pollution. Acoustic noise monitoring must be done with equipme
Externí odkaz:
https://doaj.org/article/334c0165e55d47d3817c32246cdf8212
Publikováno v:
In Applied Acoustics October 2016 111:106-115
Publikováno v:
Current pollution reports. 8(4)
This review aims to analyze the effects of the pandemic on the world's sound environment.The confinements associated with the pandemic led to a reduction in sound levels worldwide and a change in the perception of soundscapes in the absence of traffi
Publikováno v:
The Journal of the Acoustical Society of America
The lockdown that Madrid has suffered during the months of March to June 2020 to try to control and minimize the spread of COVID-19 has significantly altered the acoustic environment of the city. The absence of vehicles and people on the streets has
Publikováno v:
Applied Acoustics. 145:399-407
Nowadays, society has the need for air transportation all around the world. The yearly increase in the number of passengers forces airports to operate to a maximum of their capacity. This leads to an augmentation of the fleet of each airline and cons