Search Results - "Augusto, Karen"

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    Porosity Characterization of Iron Ore Pellets by X-Ray Microtomography by Augusto, Karen Soares, Paciornik, Sidnei

    “…This work proposes a three-dimensional methodology to characterize porosity in iron ore pellets by X-ray Microtomography (microCT). An image analysis routine…”
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    Spectrophotometric Determination of Allura Red AC and Tartrazine in Food Products Using Hydrophobic Deep Eutectic Solvents as an Environmentally Sustainable Micro-Extractor by Piton, Gabriela, Augusto, Karen, Santos, Daniel, Fatibello‑Filho, Orlando

    Published in Journal of the Brazilian Chemical Society (01-03-2021)
    “…This paper reports the application of hydrophobic deep eutectic solvents (HDES) as an environmentally friendly alternative for liquid-phase microextraction…”
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    Voltammetric determination of uric acid using a miniaturized platform based on screen-printed electrodes modified with platinum nanoparticles by Cardoso Gomes-Junior, Paulo, Dias Nascimento, Evair, Kenlderi de Lima Augusto, Karen, Patelli Longatto, Gustavo, Censi Faria, Ronaldo, Piccin, Evandro, Fatibello-Filho, Orlando

    Published in Microchemical journal (01-12-2024)
    “…[Display omitted] •Disposable and sensitive SPCE based on PtNPs and MWCNT was designed to detect uric acid in biological fluids.•The approach has potential for…”
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    Instance segmentation of quartz in iron ore optical microscopy images by deep learning by Amaral Pascarelli Ferreira, Bernardo, Soares Augusto, Karen, César Álvarez Iglesias, Julio, Dias Pinheiro Caldas, Thalita, Bryan Magalhães Santos, Richard, Paciornik, Sidnei

    Published in Minerals engineering (01-07-2024)
    “…•Iron ore composition is vital for steelmaking and improving mineral processing.•Accurate segmentation of quartz particles is difficult.•Deep Learning methods…”
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    Discrimination of pores and cracks in iron ore pellets using deep learning neural networks by Bezerra, Emanuella Tarciana Vicente, Augusto, Karen Soares, Paciornik, Sidnei

    Published in REM - International Engineering Journal (01-06-2020)
    “…Abstract The discrimination between pores and cracks is an important step in the microstructural analysis of iron ore pellets. While the porosity is…”
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    Analysis of cracks and coating in iron ore pellets by digital image processing by Caldas, Thalita Dias Pinheiro, Augusto, Karen Soares, Iglesias, Julio César Álvarez, Paciornik, Sidnei, Domingues, Alei Leite Alcântara

    Published in REM - International Engineering Journal (01-09-2020)
    “…Abstract The pelletizing process agglomerates ore fines previously considered as tailings and makes its application possible in the form of pellets. During the…”
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    Automatic characterization of iron ore by digital microscopy and image analysis by Iglesias, Julio César Álvarez, Augusto, Karen Soares, da Fonseca Martins Gomes, Otávio, Domingues, Alei Leite Alcântara, Vieira, Maria Beatriz, Casagrande, Catia, Paciornik, Sidnei

    “…This paper presents an automatic system for mineralogical and textural characterization of iron ores based on digital microscopy and image analysis. It employs…”
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    Characterization of iron ore pellets by multimodal microscopy and image analysis by Castellanos, Reynel Martinez, Iglesias, Julio César Álvarez, Gomes, Otávio da Fonseca Martins, Augusto, Karen Soares, Paciornik, Sidnei

    Published in REM - International Engineering Journal (01-04-2018)
    “…Abstract A correlative approach employing optical microscopy and scanning electron microscopy is proposed for the quantification of phases and pores in iron…”
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    Enhancing the electrochemical sensitivity of hydroquinone using a hydrophobic deep eutectic solvent-based carbon paste electrode by Augusto, Karen Kenlderi de Lima, Piton, Gabriela Rizzo, Gomes-Júnior, Paulo Cardoso, Longatto, Gustavo Patelli, de Moraes, Fernando Cruz, Fatibello-Filho, Orlando

    Published in Analytical methods (27-05-2022)
    “…The present study reports the synthesis and characterization of hydrophobic deep eutectic solvents (HDES) based on fatty acids and tetrabutylammonium bromide…”
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    A methodology for phase characterization in pellet feed using digital microscopy and deep learning by Caldas, Thalita Dias Pinheiro, Augusto, Karen Soares, Iglesias, Julio Cesar Alvarez, Ferreira, Bernardo Amaral Pascarelli, Santos, Richard Bryan Magalhães, Paciornik, Sidnei, Domingues, Alei Leite Alcantara

    Published in Minerals engineering (15-07-2024)
    “…•Recognition of iron minerals in optical microscopy images by Deep Learning;•Use of the Mask R-CNN algorithm for instance segmentation;•Training two models to…”
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    A deep learning system for collotelinite segmentation and coal reflectance determination by Santos, Richard Bryan Magalhães, Augusto, Karen Soares, Iglesias, Julio César Álvarez, Rodrigues, Sandra, Paciornik, Sidnei, Esterle, Joan S., Domingues, Alei Leite Alcantara

    Published in International journal of coal geology (01-11-2022)
    “…Coal is widely used in industrial applications such as carbonization and coke production for steel making, combustion, or gasification to generate electricity,…”
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