Zobrazeno 1 - 10
of 17 135
pro vyhledávání: '"Aviles A"'
Autor:
Zamora-Aviles, Manuel, Camacho, Vianey, Ballesteros-Paredes, Javier, Vázquez-Semadeni, Enrique, Palau, Aina, Román-Zúñiga, Carlos, Hernández-Cruz, Andrés, Gómez, Gilberto C., Quesada-Zúñiga, Fabián, Naranjo-Romero, Raúl
We explore the Schmidt-Kennicutt (SK) relations and the star formation efficiency per free-fall time ($\eff$), mirroring observational studies, in numerical simulations of filamentary molecular clouds undergoing gravitational contraction. We find tha
Externí odkaz:
http://arxiv.org/abs/2409.11588
Reaction-Diffusion systems arise in diverse areas of science and engineering. Due to the peculiar characteristics of such equations, analytic solutions are usually not available and numerical methods are the main tools for approximating the solutions
Externí odkaz:
http://arxiv.org/abs/2409.08941
This paper proposes an algorithm for synthesis of clock-follow-data designs that provides robustness against timing violations for RSFQ circuits while maintaining high performance and minimizing area costs. Since superconducting logic gates must be c
Externí odkaz:
http://arxiv.org/abs/2409.04944
Imaging tasks are typically tackled using a structured optimization framework. This paper delves into a class of algorithms for difference-of-convex (DC) structured optimization, focusing on minimizing a DC function along with a possibly nonconvex fu
Externí odkaz:
http://arxiv.org/abs/2409.03262
Autor:
Yang, Liutao, Huang, Jiahao, Fang, Yingying, Aviles-Rivero, Angelica I, Schonlieb, Carola-Bibiane, Zhang, Daoqiang, Yang, Guang
Sparse-View Computed Tomography (SVCT) offers low-dose and fast imaging but suffers from severe artifacts. Optimizing the sampling strategy is an essential approach to improving the imaging quality of SVCT. However, current methods typically optimize
Externí odkaz:
http://arxiv.org/abs/2409.01544
Autor:
Arvizu, Abraham, Aviles, Alejandro, Hidalgo, Juan Carlos, Moreno, Eladio, Niz, Gustavo, Rodriguez-Meza, Mario A., Samario, Sofía, Collaboration, The LSST Dark Energy Science
One of the main obstacles for the signal extraction of the three point correlation function using photometric surveys, such as the Rubin Observatory Legacy Survey of Space and Time (LSST), will be the prohibitive computation time required for dealing
Externí odkaz:
http://arxiv.org/abs/2408.16847
Autor:
Ballesteros-Paredes, Javier, Zamora-Avilés, Manuel, Román-Zúñiga, Carlos, Palau, Aina, Cervantes-Sodi, Bernardo, Gutiérrez-Dávila, Karla, Camacho, Vianey, Jiménez-Andrade, Eric, Gazol, Adriana
We explain the large variety of star formation laws in terms of one single, simple law that can be inferred from the definition of the star formation rate and basic algebra. The resulting equation, $\SFR = \eff\ \Mcollapsing/\tauff$, although it has
Externí odkaz:
http://arxiv.org/abs/2408.13636
Autor:
Silva, Sara Neves, Woodgate, Tomas, McElroy, Sarah, Cleri, Michela, Clair, Kamilah St, Verdera, Jordina Aviles, Payette, Kelly, Uus, Alena, Story, Lisa, Lloyd, David, Rutherford, Mary A, Hajnal, Joseph V, Pushparajah, Kuberan, Hutter, Jana
Two subsequent deep learning networks, one localizing the fetal chest and one identifying a set of landmarks on a coronal whole-uterus balanced steady-state free precession scan, were trained on 167 and 71 fetal datasets across field strengths, acqui
Externí odkaz:
http://arxiv.org/abs/2408.06326
Autor:
Träuble, Jakob, Hiscox, Lucy, Johnson, Curtis, Schönlieb, Carola-Bibiane, Schierle, Gabriele Kaminski, Aviles-Rivero, Angelica
In the field of neuroimaging, accurate brain age prediction is pivotal for uncovering the complexities of brain aging and pinpointing early indicators of neurodegenerative conditions. Recent advancements in self-supervised learning, particularly in c
Externí odkaz:
http://arxiv.org/abs/2408.00527
Autor:
Schnur, Jennifer J., Garcia-Martínez, Angélica, Soga, Patrick, Badillo-Urquiola, Karla, Botello, Alejandra J., Raisbeck, Ana Calderon, Chawla, Sugana, Ernst, Josef, Gentry, William, Johnson, Richard P., Kennel, Michael, Robles, Jesús, Wagner, Madison, Medina, Elizabeth, Espinosa, Juan Garduño, Márquez-González, Horacio, Olivar-López, Victor, Juárez-Villegas, Luis E., Avilés-Robles, Martha, Dorantes-Acosta, Elisa, Avila, Viridia, Chapa-Koloffon, Gina, Cruz, Elizabeth, Luis, Leticia, Quezada, Clara, Orozco, Emanuel, Serván-Mori, Edson, Cordero, Martha, Payo, Rubén Martín, Chawla, Nitesh V.
We developed SaludConectaMX as a comprehensive system to track and understand the determinants of complications throughout chemotherapy treatment for children with cancer in Mexico. SaludConectaMX is unique in that it integrates patient clinical indi
Externí odkaz:
http://arxiv.org/abs/2408.00881