Zobrazeno 1 - 10
of 12 105
pro vyhledávání: '"A Barco"'
Autor:
del Barco, Oscar
Publikováno v:
Monthly Notices of the Royal Astronomical Society, October 3, 2024
An exact analytical expression for the bending angle of light due to a non-rotating massive object, considering the actual distances from source and observer to the gravitational mass, is derived. Our novel formula generalizes Darwin well-known equat
Externí odkaz:
http://arxiv.org/abs/2410.03949
Autor:
Barco, Gabriel Missael, Adam, Alexandre, Stone, Connor, Hezaveh, Yashar, Perreault-Levasseur, Laurence
Bayesian inference for inverse problems hinges critically on the choice of priors. In the absence of specific prior information, population-level distributions can serve as effective priors for parameters of interest. With the advent of machine learn
Externí odkaz:
http://arxiv.org/abs/2407.17667
Autor:
Stone, Connor, Adam, Alexandre, Coogan, Adam, Yantovski-Barth, M. J., Filipp, Andreas, Setiawan, Landung, Core, Cordero, Legin, Ronan, Wilson, Charles, Barco, Gabriel Missael, Hezaveh, Yashar, Perreault-Levasseur, Laurence
Gravitational lensing is the deflection of light rays due to the gravity of intervening masses. This phenomenon is observed in a variety of scales and configurations, involving any non-uniform mass such as planets, stars, galaxies, clusters of galaxi
Externí odkaz:
http://arxiv.org/abs/2406.15542
Urban heat islands, defined as specific zones exhibiting substantially higher temperatures than their immediate environs, pose significant threats to environmental sustainability and public health. This study introduces a novel machine-learning model
Externí odkaz:
http://arxiv.org/abs/2405.20731
Autor:
Arnaudo, Edoardo, Vaschetti, Jacopo Lungo, Innocenti, Lorenzo, Barco, Luca, Lisi, Davide, Fissore, Vanina, Rossi, Claudio
Very-High Resolution (VHR) remote sensing imagery is increasingly accessible, but often lacks annotations for effective machine learning applications. Recent foundation models like GroundingDINO and Segment Anything (SAM) provide opportunities to aut
Externí odkaz:
http://arxiv.org/abs/2405.20109
Rapid detection and well-timed intervention are essential to mitigate the impacts of wildfires. Leveraging remote sensed data from satellite networks and advanced AI models to automatically detect hotspots (i.e., thermal anomalies caused by active fi
Externí odkaz:
http://arxiv.org/abs/2405.20093
Air pollution poses a significant threat to public health and well-being, particularly in urban areas. This study introduces a series of machine-learning models that integrate data from the Sentinel-5P satellite, meteorological conditions, and topolo
Externí odkaz:
http://arxiv.org/abs/2405.19901
Autor:
del Barco, Viviana, Moroianu, Andrei
A locally conformally product (LCP) structure on a compact conformal manifold is a closed non-exact Weyl connection (i.e.~a linear connection which is locally but not globally the Levi-Civita connection of Riemannian metrics in the conformal class),
Externí odkaz:
http://arxiv.org/abs/2404.17956
Publikováno v:
IEEE Access, vol. 12, pp. 10281-10295, 2024
Deep learning based approaches have been used to improve image quality in cone-beam computed tomography (CBCT), a medical imaging technique often used in applications such as image-guided radiation therapy, implant dentistry or orthopaedics. In parti
Externí odkaz:
http://arxiv.org/abs/2403.18565
Autor:
Herrera-Garcia, Ana, Fortes, Sergio, Baena, Eduardo, Mendoza, Jessica, Baena, Carlos, Barco, Raquel
Publikováno v:
IEEE Vehicular Technology Magazine, vol. 14, no. 4, pp. 76-84, Dec. 2019
Thanks to evolving cellular telecommunication networks, providers can deploy a wide range of services. Soon, 5G mobile networks will be available to handle all types of services and applications for vast numbers of users through their mobile equipmen
Externí odkaz:
http://arxiv.org/abs/2402.07071