Zobrazeno 1 - 10
of 1 248
pro vyhledávání: '"Alvaro, F."'
Autor:
Ribeiro, Haroldo V., Lopes, Diego D., Pessa, Arthur A. B., Martins, Alvaro F., da Cunha, Bruno R., Goncalves, Sebastian, Lenzi, Ervin K., Hanley, Quentin S., Perc, Matjaz
Publikováno v:
Chaos, Solitons & Fractals 172, 113579 (2023)
Recent advances in deep learning methods have enabled researchers to develop and apply algorithms for the analysis and modeling of complex networks. These advances have sparked a surge of interest at the interface between network science and machine
Externí odkaz:
http://arxiv.org/abs/2304.08457
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-29 (2024)
Abstract This paper introduces a new latent variable probabilistic framework for representing spectral data of high spatial and spectral dimensionality, such as hyperspectral images. We use a generative Bayesian model to represent the image formation
Externí odkaz:
https://doaj.org/article/1b5285902e744f3bab103cc8f3a6311a
Publikováno v:
Conservation Science and Practice, Vol 6, Iss 12, Pp n/a-n/a (2024)
Abstract Species extinction rates have accelerated despite the global growth of the protected area estate, and maintaining or restoring ecological connectivity across landscapes is a major challenge in conservation. To address shortfalls in statutory
Externí odkaz:
https://doaj.org/article/d3338946479b42dc9d9a547998d1e5d8
Autor:
Lopes, Diego D., da Cunha, Bruno R., Martins, Alvaro F., Goncalves, Sebastian, Lenzi, Ervin K., Hanley, Quentin S., Perc, Matjaz, Ribeiro, Haroldo V.
Publikováno v:
Sci. Rep. 12, 15746 (2022)
Recent research has shown that criminal networks have complex organizational structures, but whether this can be used to predict static and dynamic properties of criminal networks remains little explored. Here, by combining graph representation learn
Externí odkaz:
http://arxiv.org/abs/2209.03171
Autor:
Martins, Alvaro F., da Cunha, Bruno R., Hanley, Quentin S., Goncalves, Sebastian, Perc, Matjaz, Ribeiro, Haroldo V.
Publikováno v:
Sci. Rep. 12, 6858 (2022)
Corruption crimes demand highly coordinated actions among criminal agents to succeed. But research dedicated to corruption networks is still in its infancy and indeed little is known about the properties of these networks. Here we present a comprehen
Externí odkaz:
http://arxiv.org/abs/2204.05097
Autor:
Montejo-Alvaro, F., Navarro-Ibarra, D.C., Franco-Luján, V.A., Alfaro-López, H.M., Vásquez-García, A., Medina, D.I., Cruz-Martínez, H.
Publikováno v:
In Inorganica Chimica Acta 1 December 2024 573
Autor:
Bonafé Allende, Juan Cruz, Ambrosioni, Franco, Ruiz Moreno, Federico N., Marin, Constanza, Romero, Verónica L., Virgolini, Miriam B., Maletto, Belkys A., Jimenez Kairuz, Alvaro F., Alvarez Igarzabal, Cecilia I., Picchio, Matías L.
Publikováno v:
In Biomaterials Advances January 2025 166
Publikováno v:
IEEE Open Journal of Antennas and Propagation, Vol 5, Iss 4, Pp 1095-1107 (2024)
In this article, two multibeam reflectarray antennas are presented for Ka-band in a multi-feed configuration. Both feature a wide-angle scanning range with very low scan losses. They are designed using an iterative optimization process based on a pha
Externí odkaz:
https://doaj.org/article/75387dd960fd42b9a6faaba95218db6a
Publikováno v:
IEEE Open Journal of Antennas and Propagation, Vol 5, Iss 2, Pp 507-515 (2024)
This work presents a reflectarray-based base station antenna to integrate both backhaul (BH) and fronthaul (FH). The reflectarray operates at 28 GHz in dual linear polarization, using one polarization for the BH and another for the FH. The BH is a pe
Externí odkaz:
https://doaj.org/article/b8f6eea1305841d0926c976f6ab98c2f
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