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Deviations from the covered interest parity: The role of fundamentals, financial and political turmoil, and market frictions
(Lociedade Brasileira de Finanças, 2021)
Advanced signal recognition methods applied to seismo-volcanic events from Planchon Peteroa Volcanic Complex: deep neural network classifier
(Elsevier, 2021-04)
Advanced techniques in the recognition and classification of seismo-volcanic events are transcendental when studying active volcanoes, not only for their importance as an accurate real time seismic monitoring procedure but ...
Study of polluting emissions produced by an MEP engine with automatic transmission and manual transmissionEstudio de emisiones contaminantes producidas por un motor MEP con transmisión automática y transmisión manual
(Universidad Internacional del Ecuador, extensión Guayaquil, 2018)
Automatic catalog of RR Lyrae from ∼14 million VVV light curves: How far can we go with traditional machine-learning?
(EDP Sciences, 2020-10)
Context. The creation of a 3D map of the bulge using RR Lyrae (RRL) is one of the main goals of the VISTA Variables in the Via Lactea Survey (VVV) and VVV(X) surveys. The overwhelming number of sources undergoing analysis ...
Automatic generation of photochemically induced excitation-emission-kinetic four-way data for the highly selective determination of azinphos-methyl in fruit juices
(Elsevier Science Sa, 2017-02)
An application of four-way multivariate calibration for the quantitation of azinphos-methyl (AZM) in fruits is presented. The known photochemically induced degradation of AZM into a highly fluorescent product was exploited ...
Systems for automatic indexing by assignment: a comparative analysisSistemas de Indexação automática por atribuição: uma análise comparativa
(Departamento de Ciência da Informação – UFSC, 2020)
On the use of satellite Sentinel 2 data for automatic mapping of burnt areas and burn severity
(MDPI AG, 2018-10)
In this paper, we present and discuss the preliminary tools we devised for the automatic recognition of burnt areas and burn severity developed in the framework of the EU-funded SERV_FORFIRE project. The project is focused ...
Artemisia: Validation of a deep learning model for automatic breast density categorization
(AME Publishing Company, 2021-06)
Background: The aim of this study is to validate a deep learning model for the classification of breast density according to American College of Radiology’s breast density patterns. Methods: A convolutional neural network ...
Modeling variability of the lactation curves of cows in automated milking systems
(American Dairy Science Association, 2020-09)
Historically, cow selection criteria were developed for conventional milking systems that have regular milking intervals (MI). However, in automatic milking systems (AMS), there is variability in MI within and between cows. ...