Zobrazeno 1 - 10
of 397
pro vyhledávání: '"Alber, H."'
Autor:
Wagner, Fabien H., Dalagnol, Ricardo, Sánchez, Alber H., Hirye, Mayumi C. M., Favrichon, Samuel, Lee, Jake H., Mauceri, Steffen, Yang, Yan, Saatchi, Sassan
Deep learning self-supervised algorithms that can segment an image in a fixed number of hard labels such as the k-means algorithm and relying only on deep learning techniques are still lacking. Here, we introduce the k-textures algorithm which provid
Externí odkaz:
http://arxiv.org/abs/2205.08671
Autor:
van den Broek, W.W.A., Gimbel, M.E., Hermanides, R.S., Runnett, C., Storey, R.F., Knaapen, P., Emans, M.E., Oemrawsingh, R.M., Cooke, J., Galasko, G., Walhout, R., Stoel, M.G., von Birgelen, C., van Bergen, Paul F.M.M., Brinckman, S.L., Aksoy, I., Liem, A., van't Hof, A.W.J., Jukema, J.W., Heestermans, A.A.C.M., Nicastia, D., Alber, H., Austin, D., Nasser, A., Deneer, V., ten Berg, J.M.
Publikováno v:
In International Journal of Cardiology 15 June 2024 405
Autor:
Michel E. D. Chaves, Anderson R. Soares, Guilherme A. V. Mataveli, Alber H. Sánchez, Ieda D. Sanches
Publikováno v:
Automation, Vol 4, Iss 1, Pp 94-109 (2023)
Land use and land cover (LULC) mapping initiatives are essential to support decision making related to the implementation of different policies. There is a need for timely and accurate LULC maps. However, building them is challenging. LULC changes af
Externí odkaz:
https://doaj.org/article/fcb398ae7df1475889c9d80c55bdbf16
Autor:
Luana S. Basso, Luciano Marani, Luciana V. Gatti, John B. Miller, Manuel Gloor, John Melack, Henrique L. G. Cassol, Graciela Tejada, Lucas G. Domingues, Egidio Arai, Alber H. Sanchez, Sergio M. Corrêa, Liana Anderson, Luiz E. O. C. Aragão, Caio S. C. Correia, Stephane P. Crispim, Raiane A. L. Neves
Publikováno v:
Communications Earth & Environment, Vol 2, Iss 1, Pp 1-13 (2021)
Wetlands dominate methane emissions in Amazonia, with the largest emissions in the east but no discernible temporal trend, according to nine years of atmospheric methane observations across Amazonia.
Externí odkaz:
https://doaj.org/article/9f690077e17e4b91928d33f785735ea0
Autor:
Conceição, Katyanne V., Chaves, Michel E.D., Picoli, Michelle C.A., Sánchez, Alber H., Soares, Anderson R., Mataveli, Guilherme A.V., Silva, Daniel E., Costa, Joelma S., Camara, Gilberto
Publikováno v:
In Land Use Policy September 2021 108
Autor:
Guilherme Mataveli, Gabriel de Oliveira, Michel E. D. Chaves, Ricardo Dalagnol, Fabien H. Wagner, Alber H. S. Ipia, Celso H. L. Silva‐Junior, Luiz E. O. C. Aragão
Publikováno v:
Conservation Letters, Vol 15, Iss 6, Pp n/a-n/a (2022)
Abstract While Brazil publicly committed to reduce deforestation in Amazonia at the 26th Conference of the Parties (COP26), the Brazilian parliament is moving toward weakening environmental laws. Deforestation rates continue ascending, reaching in 20
Externí odkaz:
https://doaj.org/article/a1b7a32f764e406682aada190e536d67
Autor:
Fabien H. Wagner, Ricardo Dalagnol, Alber H. Sánchez, Mayumi C. M. Hirye, Samuel Favrichon, Jake H. Lee, Steffen Mauceri, Yan Yang, Sassan Saatchi
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
Deep learning self-supervised algorithms that can segment an image in a fixed number of hard clusters such as the k-means algorithm and with an end-to-end deep learning approach are still lacking. Here, we introduce the k-textures algorithm which pro
Externí odkaz:
https://doaj.org/article/ed0fedee47964307a9693c96ee1a8733
Akademický článek
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Autor:
Karine R. Ferreira, Gilberto R. Queiroz, Lubia Vinhas, Rennan F. B. Marujo, Rolf E. O. Simoes, Michelle C. A. Picoli, Gilberto Camara, Ricardo Cartaxo, Vitor C. F. Gomes, Lorena A. Santos, Alber H. Sanchez, Jeferson S. Arcanjo, José Guilherme Fronza, Carlos Alberto Noronha, Raphael W. Costa, Matheus C. Zaglia, Fabiana Zioti, Thales S. Korting, Anderson R. Soares, Michel E. D. Chaves, Leila M. G. Fonseca
Publikováno v:
Remote Sensing, Vol 12, Iss 24, p 4033 (2020)
Recently, remote sensing image time series analysis has being widely used to investigate the dynamics of environments over time. Many studies have combined image time series analysis with machine learning methods to improve land use and cover change
Externí odkaz:
https://doaj.org/article/aea3e037496347fa836f2a93ba4c1304
Autor:
Henrique L. G. Cassol, Lucas G. Domingues, Alber H. Sanchez, Luana S. Basso, Luciano Marani, Graciela Tejada, Egidio Arai, Caio Correia, Caroline B. Alden, John B. Miller, Manuel Gloor, Liana O. Anderson, Luiz E. O. C. Aragão, Luciana V. Gatti
Publikováno v:
Atmosphere, Vol 11, Iss 10, p 1073 (2020)
Aircraft atmospheric profiling is a valuable technique for determining greenhouse gas fluxes at regional scales (104–106 km2). Here, we describe a new, simple method for estimating the surface influence of air samples that uses backward trajectorie
Externí odkaz:
https://doaj.org/article/faa9f01291084a138bf512a17660655a