Zobrazeno 1 - 10
of 1 966
pro vyhledávání: '"P Martínez-Sanchez"'
We obtain approximation results for general positive linear operators satisfying mild conditions, when acting on discontinuous functions and absolutely continuous functions having discontinuous derivatives. The upper bounds, given in terms of a local
Externí odkaz:
http://arxiv.org/abs/2410.19893
Object detection is a main task in computer vision. Template matching is the reference method for detecting objects with arbitrary templates. However, template matching computational complexity depends on the rotation accuracy, being a limiting facto
Externí odkaz:
http://arxiv.org/abs/2408.02398
Causality lies at the heart of scientific inquiry, serving as the fundamental basis for understanding interactions among variables in physical systems. Despite its central role, current methods for causal inference face significant challenges due to
Externí odkaz:
http://arxiv.org/abs/2405.12411
Publikováno v:
Journal of Applied Mathematics and Computing (2024)
Normalized cross-correlation is the reference approach to carry out template matching on images. When it is computed in Fourier space, it can handle efficiently template translations but it cannot do so with template rotations. Including rotations re
Externí odkaz:
http://arxiv.org/abs/2311.07561
Autor:
Burlak, Gennadiy, Díaz-de-Anda, A., Malomed, Boris A., Martinez-Sánchez, E., Medina-Ángel, G., Morales-Nava, R., Martínez-Ocampo, J. J., de-Anda-Reyes, M. E., Romero-López, A.
We systematically study the optical field localization in an active three-dimensional (3D) disordered percolating system with light nanoemitters incorporated in percolating clusters. An essential feature of such a hybrid medium is that the clusters a
Externí odkaz:
http://arxiv.org/abs/2306.11857
Autor:
Yordanov, Momchil, d'Andrimont, Raphael, Martinez-Sanchez, Laura, Lemoine, Guido, Fasbender, Dominique, van der Velde, Marijn
Crop classification via deep learning on ground imagery can deliver timely and accurate crop-specific information to various stakeholders. Dedicated ground-based image acquisition exercises can help to collect data in data scarce regions, improve con
Externí odkaz:
http://arxiv.org/abs/2305.04994
Autor:
Martínez-Sánchez, Álvaro, López, Esteban, Clainche, Soledad Le, Lozano-Durán, Adrián, Srivastava, Ankit, Vinuesa, Ricardo
The aim of this work is to analyse the formation mechanisms of large-scale coherent structures in the flow around a wall-mounted square cylinder, due to their impact on pollutant transport within cities. To this end, we assess causal relations betwee
Externí odkaz:
http://arxiv.org/abs/2209.15356
Autor:
Ricardo Larrainzar-Garijo, Esther Fernández-Tormos, Carlos Alberto Collado-Escudero, María Alcantud Ibáñez, Fernando Oñorbe-San Francisco, Judith Marin-Corral, David Casadevall, David Donaire-Gonzalez, Luisa Martínez-Sanchez, Lucia Cabal-Hierro, Diego Benavent, Fátima Brañas
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Hip fractures (HFx) are associated with a higher morbidity and mortality rates, leading to a significant reduction in life quality and in limitation of patient´s mobility. The present study aimed to obtain real-world evidence on the clinica
Externí odkaz:
https://doaj.org/article/72a4b825900347b28f139e6d05187f37
Autor:
Lazpita, Eneko, Martínez-Sánchez, Álvaro, Corrochano, Adrián, Hoyas, Sergio, Clainche, Soledad Le, Vinuesa, Ricardo
Studying and interpreting the different flow patterns present in urban areas is becoming essential since they help develop new approaches to fight climate change through an improved understanding of the dynamics of the pollutants in urban environment
Externí odkaz:
http://arxiv.org/abs/2202.02047
Autor:
Martínez-Sánchez, Álvaro, Lazpita, Eneko, Corrochano, Adrián, Clainche, Soledad Le, Hoyas, Sergio, Vinuesa, Ricardo
Understanding flow structures in urban areas is widely recognized as a challenging concern due to its effect on urban development, air quality, and pollutant dispersion. In this study, state-of-the-art data-driven methods for modal analysis of simpli
Externí odkaz:
http://arxiv.org/abs/2202.01667