Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mauricio R. Veronez"'
Autor:
Taina T. Guimaraes, Lucas S. Kupssinsku, Milena B. Cardoso, Leonardo Bachi, Alysson S. Aires, Emilie C. Koste, Andre L. D. Spigolon, Luiz Gonzaga, Mauricio R. Veronez
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 6418-6431 (2022)
In petroleum geology, to assess the hydrocarbon generation potential in source rocks involves the determination of the kerogen type by some destructive method. The usage of such methods is a bottleneck in the process because it is time-consuming, req
Externí odkaz:
https://doaj.org/article/ac90f13435704a4fb1ea83135aed9d45
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract The prevalence of mental health disorders, a key disability cause, is linked to demographic and socioeconomic factors. However, limited data exists on mental health and the urban environment. Urbanization exposes populations to environmental
Externí odkaz:
https://doaj.org/article/5fe7f652a95841f3ae4bbbd306676f8d
Autor:
Marcelo Zagonel, De Oliveira, Lavínia, Schüler-Faccini, Dario A, Demarchi, Emma L, Alfaro, José E, Dipierri, Mauricio R, Veronez, Marlise, Colling Cassel, Alice, Tagliani-Ribeiro, Ursula, Silveira Matte, Virginia, Ramallo
Publikováno v:
Annals of human genetics. 77(2)
Cândido Godói is a small Brazilian town known for high rates of twin birth. In 2011, a genetic study showed that this localized high rate of twin births could be explained by a genetic founder effect. Here we used isonymic analysis and surname dist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::7ee9fbc2c0608a64d07cb6293f260d3a
https://pubmed.ncbi.nlm.nih.gov/23369099
https://pubmed.ncbi.nlm.nih.gov/23369099
Autor:
Maurício R. Veronez, Lucas S. Kupssinskü, Tainá T. Guimarães, Emilie C. Koste, Juarez M. da Silva, Laís V. de Souza, William F. M. Oliverio, Rogélio S. Jardim, Ismael É. Koch, Jonas G. de Souza, Luiz Gonzaga, Frederico F. Mauad, Leonardo C. Inocencio, Fabiane Bordin
Publikováno v:
Sensors, Vol 18, Iss 1, p 159 (2018)
Water quality monitoring through remote sensing with UAVs is best conducted using multispectral sensors; however, these sensors are expensive. We aimed to predict multispectral bands from a low-cost sensor (R, G, B bands) using artificial neural netw
Externí odkaz:
https://doaj.org/article/ada9d10f67cc47689aae0bbc64fc1efe