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Mostrando ítems 71-80 de 7060
Say2me - um modelo de reconhecimento de imagens para deficientes visuais
(Universidade do Vale do Rio dos Sinos, 2017)
This article introduces the development of the Say2me application which, through an informed image, queries a remote image description service and returns its description. The objective of this work is, using the model, ...
Análise do impacto do trabalho remoto na percepção da situação socioorganizacional de uma equipe
(Universidade Estadual Paulista (Unesp), 2021-11-09)
A análise sociológica das organizações, também chamada de análise estratégica das organizações, é uma teoria baseada nos trabalhos dos sociólogos Michel Crozier e Erhard Friedberg. Ela tem como objetivo destacar a natureza ...
A review of regional science applications of satellite remote sensing in urban settingsA review of regional science applications of satellite remote sensing in urban settings
(Elsevier Sci Ltd, 2013-01)
This paper reviews the potential applications of satellite remote sensing to regional science research in urban settings. Regional science is the study of social problems that have a spatial dimension. The availability of ...
Detecting spatiotemporal variability in the physicochemical properties of water in the Lower Mearim using remote sensing data
(Universidade Federal de Santa Maria, 2020)
Secretariado remoto : experiências no BrasilRemote secretariat : experiences in Brazil
(DSE - Departamento de Secretariado Executivo – São Cristóvão - PresencialUniversidade Federal de Sergipe, 2019)
Possibilidades e desafios do ensino de ciências por investigação no modelo remoto
(Universidade Federal de São CarlosUFSCarCâmpus ArarasQuímica - QL-Ar, 2022-04-13)
Science teaching in Brazil is in an unfavorable situation in relation to what would be ideal, mainly in the remote format that the pandemic has subjected all those involved in the educational process in the years 2020 and ...
Hierarchical clustering and stochastic distance for indirect semi-supervised remote sensing image classification
(Springer, 2019-03-01)
Usually, image classification methods have supervised or unsupervised learning paradigms. While unsupervised methods do not need training data, the meanings behind the classified elements are not explicitly know. Conversely, ...