Prediction Functions
Mostrando 1-12 de 173 artigos, teses e dissertações.
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1. ARTIFICIAL NEURAL NETWORKS FOR PREDICTION OF PHYSIOLOGICAL AND PRODUCTIVE VARIABLES OF BROILERS
ABSTRACT Due to a number of factors involving the thermal environment of a broiler cutting installation and its interaction with the physiological and productive responses of birds, artificial intelligence has been shown to be an interesting methodology to assist in the decision-making process. For this reason, the main aim of this work was to develop an art
Eng. Agríc.. Publicado em: 2020-02
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2. Modeling hourly air temperature based on internationally agreed times and the daily minimum temperature
RESUMO Existem áreas que exigem conhecimento da variação da temperatura do ar ao longo do dia, como previsão de doenças ou cálculo de horas de frio. Porém, nem sempre há estações meteorológicas automáticas próximas para observar esta variável. Nesse sentido, modelos que descrevem a variação temporal diária da temperatura do ar podem ser util
Rev. bras. eng. agríc. ambient.. Publicado em: 14/10/2019
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3. DELIMITATION OF HOMOGENEOUS ZONES IN VINEYARDS USING GEOSTATISTICS AND MULTIVARIATE ANALYSIS OF DIFFERENT VEGETATION INDICES
ABSTRACT Vegetation indices (VIs) are quantitative measures used to describe the distribution and spatial variability of the vegetation cover of natural or cultivated areas. The aim of this study was to delimit homogeneous zones (HZs) of different VIs using geostatistics and multivariate analysis in order to identify vegetation patterns in Cabernet Franc and
Eng. Agríc.. Publicado em: 09/09/2019
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4. A GENERALIZED ABOVEGROUND BIOMASS MODEL FOR JUVENILE INDIVIDUALS OF Rhododendron arboreum (SM.) IN NEPAL
ABSTRACT Carbon in the juvenile plants contribute significant share to the total carbon stock in forests. A precise estimate of aboveground biomass of the juvenile stages of trees is therefore very important. We developed a generalized allometric biomass model for the prediction of aboveground biomass of the juvenile individuals of Rhododendron arboreum (Sm.
CERNE. Publicado em: 09/09/2019
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5. In Silico Characterization of Meloidogyne Genus Nematode Cellulose Binding Proteins
Abstract Root-knot nematodes are a group of endoparasites species that induce the formation of giant cells in the hosts, by which they guarantee their feeding and development. Meloidogyne species infect over 2000 plant species, and are highly destructive, causing damage to many crops around the world. M. enterolobii is considered the most aggressive species
Braz. arch. biol. technol.. Publicado em: 13/05/2019
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6. Fuzzy logic and hospital admission due to respiratory diseases using estimated values by mathematical model
Resumo Internações por doenças respiratórias geram custos financeiros para o Sistema de Saúde além de custos sociais. O objetivo deste estudo foi elaborar e validar um modelo linguístico “fuzzy” para previsão do número de internações por doenças respiratórias. Foi construído um modelo “fuzzy” para predição de internações por pneumon
Ciênc. saúde coletiva. Publicado em: 2019-03
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7. Performance evaluation of different soil water retention functions for modeling of water flow under transient condition
ABSTRACT ABSTRACT: Description and prediction of water flow through unsaturated soils is necessary to understand their hydraulic properties, including soil water retention curve (SWRC). Many models have been developed for estimation of SWRC and many researchers compared water retention curve derived from these models with the measured values. In this paper,
Bragantia. Publicado em: 17/01/2019
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8. Wall function treatment for bubbly boundary layers at low void fractions
Abstract The present work investigates the role of different treatments of the lower boundary condition on the numerical prediction of bubbly flows. Two different wall function formulations are tested against experimental data obtained for bubbly boundary layers: (i) a new analytical solution derived through asymptotic techniques and (ii) the previous formul
An. Acad. Bras. Ciênc.. Publicado em: 2018-03
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9. THE USE OF ARTIFICIAL INTELLIGENCE FOR ESTIMATING SOIL RESISTANCE TO PENETRATION
ABSTRACT The aim of this study was to present and to evaluate methodologies for the estimation of soil resistance to penetration (RP) using artificial intelligence prediction techniques. In order to do so, a data base with values of physical-water characteristics of the soils available in the literature was used, and the performances of Artificial Neural Net
Eng. Agríc.. Publicado em: 2018-01
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10. Study of Continuous Rheological Measurements in Drilling Fluids
Abstract Drilling an oil well involves using drilling fluids that perform cleaning and cooling functions, but that most importantly maintain the fluids of the geological formation contained by hydraulic pressure. A fundamental role in predicting the hydraulic pressure of the well consists of monitoring the fluid’s rheological behavior. This paper summarize
Braz. J. Chem. Eng.. Publicado em: 2017-07
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11. Bulk Density Prediction for Histosols and Soil Horizons with High Organic Matter Content
ABSTRACT Bulk density (Bd) can easily be predicted from other data using pedotransfer functions (PTF). The present study developed two PTFs (PTF1 and PTF2) for Bd prediction in Brazilian organic soils and horizons and compared their performance with nine previously published equations. Samples of 280 organic soil horizons used to develop PTFs and containing
Rev. Bras. Ciênc. Solo. Publicado em: 27/03/2017
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12. Prediction of Modal Damping of FRP-Honeycomb Sandwich Panels with Arbitrary Geometries
Abstract In this work, the modal characteristics, including modal damping, of FRP composite skin, honeycomb core sandwich panels with arbitrary geometries are computed using a mixed finite element-meshless method. By using the meshless node distribution scheme in conjunction with the lagrangian quadrilateral interpolating functions, the continuity of inter-e
Lat. Am. j. solids struct.. Publicado em: 2017-01