Automatic Classification
Mostrando 1-12 de 140 artigos, teses e dissertações.
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1. CLASSIFICATION OF ROBUSTA COFFEE FRUITS AT DIFFERENT MATURATION STAGES USING COLORIMETRIC CHARACTERISTICS
ABSTRACT Coffee growers who produce the robusta species (Conilon) have sought to increase productivity and drink quality by improving production techniques. Artificial vision systems can assist in increasing the efficiency of operations associated with crop management. This study aimed to obtain colorimetric characteristics of robusta coffee fruits at differ
Eng. Agríc.. Publicado em: 2020-08
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2. Determination of factors affecting dairy cattle: a case study of Ardahan province using data mining algorithms
ABSTRACT This study was conducted to compare predictive performances of different data-mining algorithms for determining factors influencing the average daily milk yield at dairy cattle enterprises of Ardahan province, located in the Eastern Anatolia region of Turkey. The algorithms employed in the present study were Classification and Regression Tree (CART)
R. Bras. Zootec.. Publicado em: 28/11/2019
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3. Rapid and Automatic Classification of Tobacco Leaves Using a Hand-Held DLP-Based NIR Spectroscopy Device
A hand-held near infrared (NIR) spectroscopy device is much more convenient than a traditional desktop NIR instrument. Thus, it is more suitable for the practical application. An automatic and rapid tool for grading tobacco leaves on the spot using a hand-held digital light processing (DLP)-based NIR spectroscopy device is proposed in this paper. Firstly, th
J. Braz. Chem. Soc.. Publicado em: 16/09/2019
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4. Proposal of automated computational method to support Virginia tobacco classification
RESUMO Este artigo propõe um método automático para classificação de folhas de tabaco curado. Tipicamente este processo é realizado de modo manual, possibilitando erros humanos. Aliado a isso, a existência de um procedimento comparativo automatizado, auxiliando na realização da classificação, poderá tornar tal processo mais rápido e transparente
Rev. bras. eng. agríc. ambient.. Publicado em: 09/09/2019
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5. Using UAV for automatic lithological classification of open pit mining front
Abstract Mine planning is dependent on the natural lithologic features and on the definition of their limits. The geological model is constantly updated during the life of the mine, based on all the information collected so far, plus the knowledge developed from the exploration stage up to the mine closure. As the mine progresses, the amount of available dat
REM, Int. Eng. J.. Publicado em: 2019-03
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6. Visual and automatic classification of the cyclic alternating pattern in electroencephalography during sleep
Cyclic alternating pattern (CAP) is a neurophysiological pattern that can be visually scored by international criteria. The aim of this study was to verify the feasibility of visual CAP scoring using only one channel of sleep electroencephalogram (EEG) to evaluate the inter-scorer agreement in a variety of recordings, and to compare agreement between visual
Braz J Med Biol Res. Publicado em: 25/02/2019
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7. USE OF COMPUTATIONAL TOOLS AS SUPPORT TO THE CROSS-MAPPING METHOD BETWEEN CLINICAL TERMINOLOGIES
RESUMO Objetivo: refletir sobre o uso de ferramentas computacionais no método de mapeamento cruzado entre terminologias clínicas. Método: estudo de reflexão. Resultados: o método de mapeamento cruzado consiste na obtenção de listagem de termos, por meio de extração e normalização; ligação entre os termos da listagem e os da base de referên
Texto contexto - enferm.. Publicado em: 14/02/2019
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8. Automatic Identification of Cigarette Brand Using Near-Infrared Spectroscopy and Sparse Representation Classification Algorithm
A cigarette brand automatic classification method using near-infrared (NIR) spectroscopy and sparse representation classification (SRC) algorithm is put forward by the paper. Comparing with the traditional methods, it is more robust to redundancy because it uses non-negative least squares (NNLS) sparse coding instead of principal component analysis (PCA) for
J. Braz. Chem. Soc.. Publicado em: 2018-07
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9. Algorithm for predicting macular dysfunction based on moment invariants classification of the foveal avascular zone in functional retinal images
Abstract Introduction A new method for segmenting and quantifying the macular area based on morphological alternating sequential filtering (ASF) is proposed. Previous studies show that persons with diabetes present alterations in the foveal avascular zone (FAZ) prior to the appearance of retinopathy. Thus, a proper characterization of FAZ using a method of
Res. Biomed. Eng.. Publicado em: 21/12/2017
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10. Yeast fermentation of sugarcane for ethanol production: Can it be monitored by using in situ microscopy?
ABSTRACT This paper addresses some key issues related to the automation of fermentation process analysis in the context of industrial-scale ethanol production from sugarcane substrates. As the current methods for the determination of cell density and viability are time consuming and laborious, high resolution in situ microscopy (0.5µm) is proposed as a prom
Braz. J. Chem. Eng.. Publicado em: 2017-10
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11. A System Based on Artificial Neural Networks for Automatic Classification of Hydro-generator Stator Windings Partial Discharges
Abstract Partial discharge (PD) monitoring is widely used in rotating machines to evaluate the condition of stator winding insulation, but its practice on a large scale requires the development of intelligent systems that automatically process these measurement data. In this paper, it is proposed a methodology of automatic PD classification in hydro-generato
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2017-09
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12. A fully automatic method for recognizing hand configurations of Brazilian sign language
Abstract Introduction Sign language is a collection of gestures, postures, movements, and facial expressions used by deaf people. The Brazilian sign language is Libras. The use of Libras has been increased among the deaf communities, but is still not disseminated outside this community. Sign language recognition is a field of research, which intends to help
Res. Biomed. Eng.. Publicado em: 2017-03