Estimation Process
Mostrando 1-12 de 335 artigos, teses e dissertações.
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1. Facial processing in bipolar disorder is mediated by clinical and biological aspects
Objective: The process of detecting faces can be considered one of the initial steps in face recognition, which is essential for human interaction. We sought to investigate whether a face perception task reliably detects subtle perceptual disturbances between patients with bipolar disorder (BD) and healthy controls. Methods: In this multisite study, we exam
Brazilian Journal of Psychiatry. Publicado em: 2022
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2. Estimation and Mapping of the Received Power Level of Digital Signals TV Using Spatial Interpolation Methods
Abstract The signal digitization process of the open television system is still in progress, therefore, the study of the digital signal propagation has great importance so that broadcasters can develop and improve the transmission service. The field measurement of digital signal parameters is one of the most reliable means to analyze the signal propagation i
Journal of Microwaves, Optoelectronics and Electromagnetic Applications. Publicado em: 2022
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3. MULTILEVEL NONLINEAR MIXED-EFFECTS MODEL AND MACHINE LEARNING FOR PREDICTING THE VOLUME OF Eucalyptus SPP. TREES
ABSTRACT Volumetric equations is one of the main tools for quantifying forest stand production, and is the basis for sustainable management of forest plantations. This study aimed to assess the quality of the volumetric estimation of Eucalyptus spp. trees using a mixed-effects model, artificial neural network (ANN) and support-vector machine (SVM). The datab
CERNE. Publicado em: 2020-03
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4. Bayesian factor analysis for mixed data on management studies
Abstract Purpose Factor analysis is the most used tool in organizational research and its widespread use in scale validations contribute to decision-making in management. However, standard factor analysis is not always applied correctly mainly due to the misuse of ordinal data as interval data and the inadequacy of the former for classical factor analysis.
RAUSP Manag. J.. Publicado em: 13/12/2019
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5. ESTIMATION OF PARAMETERS AND STATES USING A BAYESIAN PARTICLE FILTER FOR THE SULFATE ION ADSORPTION PROCESS IN A FIXED BED COLUMN
Abstract Ensuring that industrial effluents meet quality standards to be released into water bodies is still one of the major environmental concerns. Liquid phase adsoption in fixed bed collumns is one of the most known treatments. Measurements are needed to monitor the process. However, as they are often corrupted by noise from the measuring equipment, perf
Braz. J. Chem. Eng.. Publicado em: 09/12/2019
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6. Uncertainty estimation in hydrodynamic modeling using Bayesian techniques
RESUMO A avaliação de incertezas tem emergido como estudo primordial para se conhecerem os efeitos dos erros inerentes aos processos de modelagem de perfis de escoamento de vazões de cheia, de natureza aleatória e epistêmica, presentes em dados de entrada como vazões e topobatimetria, na estrutura e parametrização dos modelos matemáticos utilizados
RBRH. Publicado em: 17/10/2019
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7. Methodology for minimum nitrogen compounds removal efficiencies estimation and wastewater treatment systems pre-selection: a watershed approach
RESUMO O nitrogênio constitui importante parâmetro para o controle da poluição hídrica, uma vez que a nitrificação produz consumo de oxigênio do ambiente aquático, além da toxicidade associada à algumas formas de nitrogênio. Este estudo estabeleceu e empregou modelo de otimização visando a determinação simultânea de eficiências mínimas de
RBRH. Publicado em: 17/10/2019
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8. A statistical solution for cost estimation in oil well drilling
Abstract Drilling operations must be preceded by adequate planning, fulfilling the path to produce hydrocarbons at low and competitive costs. Conventional well planning is based on the personal experience of project engineers, which use information from offset wells to estimate the performances in future wells. This article reviews and discusses a published
REM, Int. Eng. J.. Publicado em: 16/09/2019
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9. REDUCTION OF SAMPLE SIZE IN THE ANALYSIS OF SPATIAL VARIABILITY OF NONSTATIONARY SOIL CHEMICAL ATTRIBUTES
ABSTRACT In the study of spatial variability of soil attributes, it is essential to define a sampling plan with adequate sample size. This study aimed to evaluate, through simulated data, the influence of parameters of the geostatistical model and sampling configuration on the optimization process, and resize and reduce the sample size of a sampling configur
Eng. Agríc.. Publicado em: 09/09/2019
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10. STATE ESTIMATION AND TRAJECTORY TRACKING CONTROL FOR A NONLINEAR AND MULTIVARIABLE BIOETHANOL PRODUCTION SYSTEM
ABSTRACT In this paper a controller is proposed based on linear algebra for a fed-batch bioethanol production process. It involves finding feed rate profiles (control actions obtained as a solution of a linear equations system) in order to make the system follow predefined concentration profiles. A neural network states estimation is designed in order to kno
Braz. J. Chem. Eng.. Publicado em: 15/07/2019
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11. Mathematical Modeling and Parameter Estimation of Battery Lifetime using a Combined Electrical Model and a Genetic Algorithm
RESUMO Neste artigo é proposta uma metodologia baseada na meta-heurística Algoritmo Genético para estimar os parâmetros no modelo Chen e Rincón-Mora, sendo este aplicado na modelagem matemática do tempo de vida de baterias de Lítio-íon Polímero. O modelo também é parametrizado a partir da metodologia convencional, que necessita de dados obtidos po
TEMA (São Carlos). Publicado em: 06/06/2019
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12. A Takagi-Sugeno fuzzy model for predicting the clean rock joints shear strength
Abstract It is well known that learning about the mechanical behavior of a fractured rock mass depends on the shear behavior of its discontinuities. Several studies have shown that the shear behavior of unfilled rock discontinuities depends on their boundary conditions, roughness characteristics and the properties of the joints walls. Currently, there are se
REM, Int. Eng. J.. Publicado em: 2019-06