Zobrazeno 1 - 10
of 2 977
pro vyhledávání: '"A. Canadas"'
Studying the reliability of complex systems using machine learning techniques involves facing a series of technical and practical challenges, ranging from the intrinsic nature of the system and data to the difficulties in modeling and effectively dep
Externí odkaz:
http://arxiv.org/abs/2410.04238
Autor:
Cañadas, Agustín Moreno, Espinosa, Pedro Fernando Fernández, Nieto, José Gregorio Rodríguez, Mendez, Odette M., Arteaga-Bastidas, Ricardo Hugo
Since their introduction, Brauer configuration algebras (BCAs) and their specialized messages have helped research in several fields of mathematics and sciences. This paper deals with a new perspective on using such algebras as a theoretical framewor
Externí odkaz:
http://arxiv.org/abs/2404.07240
Autor:
Cañadas, Ole, Friesen, Martin
In this work, we establish a comparison principle for stochastic Volterra equations with respect to the initial condition and the drift $b$ applicable to a wide class of Volterra kernels and driving forces $g$ that may be singular in zero. For comple
Externí odkaz:
http://arxiv.org/abs/2403.15801
Autor:
Cañadas-Aránega, Fernando, Blanco-Claraco, Jose Luis, Moreno, Jose Carlos, Rodriguez, Francisco
Publikováno v:
Sensors 2024, 24, 1874
This paper introduces an innovative dataset specifically crafted for challenging agricultural settings (a greenhouse), where achieving precise localization is of paramount importance. The dataset was gathered using a mobile platform equipped with a s
Externí odkaz:
http://arxiv.org/abs/2402.00438
Publikováno v:
PRX Quantum 5, 020340 (2024)
We explore superconducting quantum circuits where several leads are simultaneously connected beyond the tunneling regime, such that the fermionic structure of Andreev bound states in the resulting multiterminal Josephson junction influences the state
Externí odkaz:
http://arxiv.org/abs/2312.17305
Autor:
Sahu, M. R., Matute-Cañadas, F. J., Benito, M., Krogstrup, P., Nygård, J., Goffman, M. F., Urbina, C., Yeyati, A. Levy, Pothier, H.
Publikováno v:
Phys. Rev. B 109, 134506 (2024)
We probed a gate-tunable InAs nanowire Josephson weak link by coupling it to a microwave resonator. Tracking the resonator frequency shift when the weak link is close to pinch-off, we observe that the ground state of the latter alternates between a s
Externí odkaz:
http://arxiv.org/abs/2312.12914
Autor:
Cañadas, J. C., Diego, J. A., Diez-Berart, S., López, D. O., Mudarra, M., Salud, J., Sellarès, J.
In this work, we present an experimental study of the primary and secondary relaxations of the semi-crystalline polymer polyethylene naphthalate (PEN), by Modulated Differential Scanning Calorimetry (MDSC), Thermally Stimulated Depolarization Current
Externí odkaz:
http://arxiv.org/abs/2307.11537
Autor:
Blanco-Claraco, José-Luis, Tymchenko, Borys, Mañas-Alvarez, Francisco José, Cañadas-Aránega, Fernando, López-Gázquez, Ángel, Moreno, José Carlos
Development of applications related to closed-loop control requires either testing on the field or on a realistic simulator, with the latter being more convenient, inexpensive, safe, and leading to shorter development cycles. To address that need, th
Externí odkaz:
http://arxiv.org/abs/2302.11033
Autor:
Catarina Bessa-Andrês, Rui Pinto-Cardoso, Karyna Tarasova, Ana Luísa Pereira-Gonçalves, Joana Maria Gaio-Ferreira-Castro, Liliana S. Carvalho, Maria Adelina Costa, Fátima Ferreirinha, Ana Canadas-Sousa, José Marinhas, Rolando Freitas, Rui Lemos, Adélio Vilaça, António Oliveira, Paulo Correia-de-Sá, José Bernardo Noronha-Matos
Publikováno v:
Stem Cell Research & Therapy, Vol 15, Iss 1, Pp 1-22 (2024)
Abstract Background Mechanical stimulation (MS) significantly increases the release of adenine and uracil nucleotides from bone marrow-derived mesenchymal stem cells (BM-MSCs) undergoing osteogenic differentiation. Released nucleotides acting via ion
Externí odkaz:
https://doaj.org/article/b4b4090c36a44529acbce7c308244895
Autor:
Budd, Jobie, Baker, Kieran, Karoune, Emma, Coppock, Harry, Patel, Selina, Cañadas, Ana Tendero, Titcomb, Alexander, Payne, Richard, Hurley, David, Egglestone, Sabrina, Butler, Lorraine, Mellor, Jonathon, Nicholson, George, Kiskin, Ivan, Koutra, Vasiliki, Jersakova, Radka, McKendry, Rachel A., Diggle, Peter, Richardson, Sylvia, Schuller, Björn W., Gilmour, Steven, Pigoli, Davide, Roberts, Stephen, Packham, Josef, Thornley, Tracey, Holmes, Chris
The UK COVID-19 Vocal Audio Dataset is designed for the training and evaluation of machine learning models that classify SARS-CoV-2 infection status or associated respiratory symptoms using vocal audio. The UK Health Security Agency recruited volunta
Externí odkaz:
http://arxiv.org/abs/2212.07738