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Predicción de correlación de variables basado en el análisis dimensional
(Campus, 2016-06)
El objetivo del trabajo fue demostrar el uso del Análisis
Dimensional como herramienta para predecir variables
relevantes de correlación de un fenómeno para llevar a
cabo una investigación experimental. Se presenta ...
The Representation of Labor in the One-Dimensional Society: an analysis of “We’re All Samarco” on a social network
(Universidade de Brasília, 2019)
Fabricação e análise dimensional de gabaritos de controle produzidos por manufatura adiviva
(BrasilUFSMUFSM Cachoeira do Sul, 2023)
Jigs that help in the production process, whether assembly or calibration, are present in most of the matelwoking industry. This work aims to develop a methodology for manufacturing and dimensional analysis os control jiggs ...
Comprehensive two-dimensional gas chromatography combined to multivariate data analysis for detection of disease-resistant clones of Eucalyptus
(Elsevier B.V., 2013-11-15)
In this paper it is reported the use of the chromatographic profiles from volatile fractions of plant clones - in this case, hybrids of Eucalyptus grandis x Eucalyptus urophylla - to determine specimens susceptible to rust ...
A local-global scheme for tracking crack path in three-dimensional solids
(Techno-press, 2014)
A local-global scheme for tracking crack path in three-dimensional solids
(Techno-press, 2014)
Influência da severidade de têmpera no comportamento dimensional e metalúrgico após processo de têmpera no aço ETN 25 cementado
(Universidade Tecnológica Federal do ParanáLondrinaBrasilEngenharia de MateriaisUTFPR, 2021-05-07)
Shafts are mechanical components of great importance within the automotive transmission sector. They are responsible for transmitting the rotation and torque movement from one point to another. One of the problems that ...
Deep variational auto-encoders: A promising tool for dimensionality reduction and ball bearing elements fault diagnosis
(SAGE Publications Ltd, 2019)
© The Author(s) 2018.One of the main challenges that the industry faces when dealing with massive data for failure diagnosis is high dimensionality of such data. This can be tackled by dimensionality reduction method such ...