Zobrazeno 1 - 10
of 22
pro vyhledávání: '"L P, Marin"'
Autor:
Dame Seck Diop, Samuel Yanes Luis, Manuel Perales Esteve, Sergio L. Toral Marin, Daniel Gutierrez Reina
Publikováno v:
IEEE Access, Vol 12, Pp 75559-75576 (2024)
This study proposes the use of an Autonomous Surface Vehicle (ASV) fleet with water quality sensors for efficient patrolling to monitor water resource pollution. This is formulated as a Patrolling Problem, which consists of planning and executing eff
Externí odkaz:
https://doaj.org/article/56b3d4f0b8d84c3dabd5c5976a94eea1
Autor:
Alejandro Mendoza Barrionuevo, Samuel Yanes Luis, Daniel Gutierrez Reina, Sergio L. Toral Marin
Publikováno v:
IEEE Access, Vol 12, Pp 71835-71852 (2024)
Water contamination in extensive aquatic resources is a pressing issue, especially during current drought conditions across the world. To adress this, a novel approach involving a heterogeneous sensing capabilities fleet of four autonomous surface ve
Externí odkaz:
https://doaj.org/article/396e4665dc9349c8a9b2b99db101c30d
Autor:
Antonio L. Avila-Marin, Angel Morales, Meryem Farchado, Gema San Vicente, Maria Elena Carra, Jose Antonio Carballo, Daniel Sanchez-Señoran
Publikováno v:
SolarPACES Conference Proceedings, Vol 1 (2024)
Two different wire mesh open volumetric receivers (OVRs) are studied together with six different coatings and two different working conditions in order to assess their effect on the performance of the OVR comparing them to the two baseline OVRs, unco
Externí odkaz:
https://doaj.org/article/15fe3db9a20c458aaae410a56a8dabaf
Autor:
D. Basualto, A. Tassara, J. Lazo-Gil, L. Franco-Marin, C. Cardona, J. San Martín, F. Gil-Cruz, M. Calabi-Floddy, C. Farías
Publikováno v:
Solid Earth, Vol 14, Pp 69-87 (2023)
High-silica explosive eruptions are one of the most dangerous natural phenomena, yet it is unclear which processes are involved in this infrequent kind of event. We present the first systematic characterization of near-field seismicity associated wit
Externí odkaz:
https://doaj.org/article/2a298a51067c43f3a9c2dc4a6b9bb0a6
Autor:
M. Ciaurriz Gortari, S. Aragón Sánchez, M.C. Sanz Fernandez, M. Gallego Alvarez, B. Garcia Chapinal, G. Fernandez Lizana, L. López Marin, A. Conde Adán
Publikováno v:
Breast, Vol 68, Iss , Pp S24- (2023)
Externí odkaz:
https://doaj.org/article/6f5e09ecf1c246009bdf52c322940e1d
Autor:
M. Ciaurriz Gortari, A. Conde Adán, M. Gallego Alvarez, L. Lopez Marin, C. Fernandez Cuesta- Amorin
Publikováno v:
Breast, Vol 68, Iss , Pp S107- (2023)
Externí odkaz:
https://doaj.org/article/78e72ef04e1c4d8494d76b41e06d1b96
Autor:
M. Ciaurriz Gortari, E.V. Powell Martinez, L. Lopez Marin, R. Oliver, M.L. Arroyo, S. Aragón Sanz, G. Fernandez Lizana, A. Conde Adan, L. Alvaro Valiente
Publikováno v:
Breast, Vol 68, Iss , Pp S130- (2023)
Externí odkaz:
https://doaj.org/article/31cd373a732e40868edf3a6e9b00250b
Autor:
Daniel Sanchez-Señoran, Miguel A. Reyes-Belmonte, Jesus Fernandez-Reche, Antonio L. Avila-Marin
Publikováno v:
Results in Engineering, Vol 17, Iss , Pp 100830- (2023)
Convective heat transfer is one of the main thermal mechanisms in volumetric absorbers technology. There is a lack of literature on the behaviour of convective heat transfer in dense wire meshes. In this research, numerical simulations are used to de
Externí odkaz:
https://doaj.org/article/c5e002e2a9c447bc937a9bdd2422fca9
Publikováno v:
Frontiers in Physics, Vol 10 (2022)
We present a method to compress the 2D transverse phase space projections from a hadron accelerator and use that information to predict the beam transmission. This method assumes that obtaining at least three projections of the 4D transverse phase sp
Externí odkaz:
https://doaj.org/article/85ea7e3e2371413886acfdb4a88633f9
Publikováno v:
IEEE Access, Vol 9, Pp 17084-17099 (2021)
Autonomous surfaces vehicles (ASVs) excel at monitoring and measuring aquatic nutrients due to their autonomy, mobility, and relatively low cost. When planning paths for such vehicles, the task of patrolling with multiple agents is usually addressed
Externí odkaz:
https://doaj.org/article/701164caec1843988573ccdff89f81c3