Zobrazeno 1 - 10
of 3 272
pro vyhledávání: '"Martínez Sánchez P"'
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
Publikováno v:
Anais Brasileiros de Dermatologia, Vol 99, Iss 4, Pp 621-624 (2024)
Externí odkaz:
https://doaj.org/article/9980347d7f874ee981fae507aa1e2659
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:
Jonathan Hopkins, Margaret Currie, Nicholas Schurch, Graciela Martínez-Sánchez, Valentina Farinelli
Publikováno v:
Regional Studies, Regional Science, Vol 11, Iss 1, Pp 324-350 (2024)
ABSTRACTThis article applies a modified perspective of inclusive growth in order to understand the diversity of communities within a remote and predominantly rural region of northern Europe. A transdisciplinary process co-constructed an enhanced and
Externí odkaz:
https://doaj.org/article/b76f0617b16e405a817ad81b36bfc66b
Machine learning classification of intertidal macroalgae using UAV imagery and topographical indexes
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W11-2024, Pp 73-80 (2024)
Intertidal macroalgae play a vital role in marine ecosystems, necessitating effective monitoring of their coverage and diversity. Traditional monitoring methods are labour-intensive and costly, prompting exploration of the use of unmanned aerial vehi
Externí odkaz:
https://doaj.org/article/6f706eea1fc44888ac41976a30760516
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W11-2024, Pp 121-128 (2024)
Transport infrastructures (TIs) play a crucial role for facilitating transportation and enhancing mobility. Nevertheless, they face significant risks from forest fires mainly due to climate change. Developing accurate fire risk maps is essential for
Externí odkaz:
https://doaj.org/article/7e3a23fe555e4d159b93ab0342a5fb4f
Autor:
Jonatan R Ruiz, Francisco J Amaro-Gahete, Patricia Martínez-Sánchez, Silvia Gómez-García, Pablo Jorge Marcos-Pardo, Alberto Soriano-Maldonado, David Ruiz-González, Alba Hernández-Martínez, Manuel Fernandez-Escabias, Laura Amaya-Pascasio, Sofia Carrilho-Candeias, Máriam Ramos-Teodoro, Mercedes Gil-Rodríguez, Andrea Orellana-Jaen, Elena Martínez-Rosales, Alba Esteban-Simón, Belén Castro-Ropero, Laura del-Olmo-Iruela, María Isabel López-López, Ana Isabel Ramos-Herrera, Manuel F. Fajardo-Rodríguez, Marta Rodríguez-Camacho, Elena Conde-Negri, Mónica Rodríguez-Pérez, Inmaculada Villegas-Rodríguez
Publikováno v:
BMJ Open Sport & Exercise Medicine, Vol 10, Iss 3 (2024)
Stroke is the leading cause of disability and the second cause of death worldwide. The increasing burden of stroke underscores the importance of optimising rehabilitation protocols. Virtual reality (VR) can improve poststroke prognosis. A VR software
Externí odkaz:
https://doaj.org/article/457fc4f422664428afb64c8232206557