Prediction
Mostrando 1-12 de 3735 artigos, teses e dissertações.
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1. Encoding of Luminescent Ink Markers Using Low-Level Data Fusion and Chemometrics
The identification and analysis of documentary fraud is always a challenge for forensic science. Document analysis has proven to be an important branch of forensics in elucidating the authenticity of documents. The development and incorporation of luminescent inks in authentic documents have proved to be an excellent security feature. This paper purposes the
Journal of the Brazilian Chemical Society. Publicado em: 2023
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2. Growth phenotypes of very low birth weight infants for prediction of neonatal outcomes from a Brazilian cohort: comparison with INTERGROWTH
Abstract Objective: To assess the predictive value of selected growth phenotypes for neonatal morbidity and mortality in preterm infants < 30 weeks and to compare them with INTERGROWTH-21st (IG21). Methods: Retrospective analysis of data from the Brazilian Neonatal Research Network (BNRN) database for very low birth weight (VLBW) at 20 public tertiary-care
Jornal de Pediatria. Publicado em: 2023
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3. Comment on “Prediction of impacts on liver enzymes from the exposure of low-dose medical radiations through artificial intelligence algorithms”
Revista da Associação Médica Brasileira. Publicado em: 2022
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4. Reply to Letter to the Editor Regarding the Article: “Preoperative Prediction of Gartland IV Supracondylar Fractures of the Humerus: Is it Possible?”
Revista Brasileira de Ortopedia. Publicado em: 2022
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5. Letter to the Editor regarding: “Preoperative Prediction of Gartland IV Supracondylar Fractures of Humerus: Is it Possible?” Barik S, Singh G, Maji S, Azam Q, Singh V. Rev Bras Ortop 2021;56(2):230-234.
Revista Brasileira de Ortopedia. Publicado em: 2022
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6. Rapid Recognizing the Producing Area of a Tobacco Leaf Using Near-Infrared Technology and a Multi-Layer Extreme Learning Machine Algorithm
A novel recognition method was put forward to identify the producing areas of the flue-cured tobacco leaves rapidly and non-destructively by using a near-infrared (NIR) spectrometer and a multi-layer-extreme learning machine (ML-ELM) algorithm. In contrast to traditional linear discriminant analysis (LDA) and extreme learning machine (ELM) algorithms, the ac
Journal of the Brazilian Chemical Society. Publicado em: 2022
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7. FUZZY MODELING FOR RAPID COOLING OF TABLE GRAPES IN DIFFERENT PLASTIC FILM BAGS
ABSTRACT Rapid cooling is necessary to remove heat from fruit; however, it directly affects the water loss of grapes under certain conditions. Fuzzy logic is an important theory for analyzing results as it simplifies the assimilation of the phenomena through refined adjustments, allowing the prediction of the weight loss of fruits in relation to rapid coolin
Engenharia Agrícola. Publicado em: 2022
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8. Temporal progression of sepsis on critical care COVID-19 patients: a retrospective cohort study
SUMMARY OBJECTIVE: This study aimed to describe sepsis progression in critical COVID-19 patients using the SOFA score and investigate its relationship with mortality. METHODS: Three researchers collected and analyzed retrospective clinical and laboratory data found in electronic health records from all patients admitted to a severe COVID-19 exclusive inten
Revista da Associação Médica Brasileira. Publicado em: 2022
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9. Quantification of Carbon Dioxide (CO2), Methane (CH4), and Nitrous Oxide (N2O) Using Near Infrared Spectroscopy and Multivariate Calibration in High Humidity Levels
In this work we developed a promising analytical method combining Fourier transform near-infrared (FT-NIR) spectroscopic technique and first-order multivariate calibration using partial least-squares (PLS) model to simultaneously quantify the main greenhouse gases (GHG’s): methane (CH4), carbon dioxide (CO2), nitrous oxide (N2O) and water vapor (H2O). The
Journal of the Brazilian Chemical Society. Publicado em: 2022
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10. Comparison of arterial stiffness and ultrasound indices in patients with and without chronic obstructive pulmonary disease
SUMMARY OBJECTIVE: The purpose of this study was to compare arterial stiffness and ultrasound indices in patients with and without chronic obstructive pulmonary disease. METHODS: In our retrospective study, 83 chronic obstructive pulmonary disease patients were assigned to the chronic obstructive pulmonary disease group and 80 healthy controls were enrolle
Revista da Associação Médica Brasileira. Publicado em: 2022
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11. Contribution to the forecast of horizontal displacements in continuous fight auger piles in granular soil profile
Abstract This article presents a series of propositions for the prediction of horizontal displacements for continuous fight auger piles in granular soil profiles through modifying the parameters Ay and By from the method proposed by Matlock and Reese (1961). Empirical proposals were also presented for calculating the horizontal soil reaction coefficient (nh)
REM - International Engineering Journal. Publicado em: 2022
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12. Bayesian modeling of the maximum streamflows from the Furnas reservoir
ABSTRACT The objective of this work was to predict the maximum flow of the Furnas reservoir in the dry and wet periods. The generalized distribution of extreme values (GEV) was used with parameter estimation via Bayesian inference. Data on average daily streamflows corresponding to the years 1965 to 2017 were obtained from Hidroweb, by the National Agency fo
Engenharia Sanitaria e Ambiental. Publicado em: 2022