Network Architecture
Mostrando 1-12 de 305 artigos, teses e dissertações.
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1. Discrimination of pores and cracks in iron ore pellets using deep learning neural networks
Abstract The discrimination between pores and cracks is an important step in the microstructural analysis of iron ore pellets. While the porosity is fundamental during the reduction process in blast furnaces, cracks are strongly detrimental to the mechanical strength. The usual image processing tools cannot automatically discriminate between these two types
REM, Int. Eng. J.. Publicado em: 2020-06
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2. Hierarchical Facility Location Model for allocating cancer treatment units in interior of Rio de Janeiro
Abstract Paper aims This work aims at proposing a mathematical model for allocation of oncological treatment units of SUS. Originality A model of the same architecture was not found in the literature for the delimited problem. Research method The mathematical models of location in the literature were reviewed and based the choice by the two-level hierarch
Prod.. Publicado em: 04/11/2019
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3. Performações e múltiplas realidades do Porto Maravilha: entre consensos, resistências e controvérsias na zona portuária do Rio de Janeiro
Resumo O artigo visa explorar a atuação e os efeitos produzidos pela Operação Urbana Consorciada Porto Maravilha, instituída pela Lei Municipal nº 101 de 23 de novembro de 2009, que tem por objetivo recuperar a situação socioeconômica e urbanística da Zona Portuária da cidade do Rio de Janeiro. Com base nos estudos do campo Ciência, Tecnologia e
urbe, Rev. Bras. Gest. Urbana. Publicado em: 09/09/2019
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4. Preliminary investigation of Terahertz spectroscopy to predict pork freshness non-destructively
Abstract Freshness, a very important criterion for pork quality control, is normally assessed by the index of K value. In this paper, Terahertz (THz) spectroscopy was employed to predict K value of pork nondestructively. The THz spectra (0.2~2.0THz) of 80 pork samples with different freshness in the attenuated total reflectance (ATR) mode were acquired. Simu
Food Sci. Technol. Publicado em: 22/07/2019
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5. Predicting breeding value of body weight at 6-month age using Artificial Neural Networks in Kermani sheep breed
ABSTRACT. The present study aimed to apply artificial neural networks to predict the breeding values of body weight in 6-month age of Kermani sheep. For this purpose, records of 867 lambs including lamb sex, dam age, birth weight, weaning weight, age at 3-month (3 months old), age at 6-month (6 months old) and body weight at 3 months of age were used. Firstl
Acta Sci., Anim. Sci.. Publicado em: 04/07/2019
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6. Two-Level Allocation for H-CRAN Architecture Based in Offloading
Abstract The accelerated data and apps growth represents significant challenges to the next generation of mobile networks. Amongst them, it is highlighted the necessity for a co-existence of new and old patterns during the transition of architectures. Thus, this paper has investigated solutions for offloading into a hybrid architecture, also known as H-CRAN
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 19/06/2019
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7. Automation in accession classification of Brazilian Capsicum germplasm through artificial neural networks
ABSTRACT Germplasm classification by species requires specific knowledge on/of the culture of interest. Therefore, efforts aimed at automation of this process are necessary for the efficient management of collections. Automation of germplasm classification through artificial neural networks may be a viable and less laborious strategy. The aims of this study
Sci. agric. (Piracicaba, Braz.). Publicado em: 2017-06
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8. Estimation of fatigue lives of fly ash modified dense bituminous mixtures based on artificial neural networks
This study deals with estimation of fatigue lives of bituminous mixtures using artificial neural networks. Different types of fly ash were used as filler replacing agents in a dense bituminous mixture. Fatigue tests were performed using repeated load indirect tensile test apparatus under controlled stress conditions. For determination of fatigue life, the in
Mat. Res.. Publicado em: 01/04/2014
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9. Migración indígena, procesos de territorialización y análisis de redes sociales
This paper discusses the scopes and limitations of social network analysis in the study of indigenous migration and consequent territorialization processes. From the data obtained in a study on the formation of called "toba neighborhoods" in the peripheries of large cities, we describe and analyze the social network that connects, through kinship, the inhabi
REMHU, Rev. Interdiscip. Mobil. Hum.. Publicado em: 2013-12
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10. Editorial
The objective of this study was to predict by means of Artificial Neural Network (ANN), multilayer perceptrons, the texture attributes of light cheesecurds perceived by trained judges based on instrumental texture measurements. Inputs to the network were the instrumental texture measurements of light cheesecurd (imitative and fundamental parameters). Output
Food Sci. Technol. Publicado em: 2013-12
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11. Time-series forecasting of pollutant concentration levels using particle swarm optimization and artificial neural networks
This study evaluates the application of an intelligent hybrid system for time-series forecasting of atmospheric pollutant concentration levels. The proposed method consists of an artificial neural network combined with a particle swarm optimization algorithm. The method not only searches relevant time lags for the correct characterization of the time series,
Quím. Nova. Publicado em: 2013
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12. Arte/Arquitetura/Design: tecnologias atuais nas estações do metrô de São Paulo / Art/Architecture/Design: current technologies in the metro of São Paulo
This thesis investigates the art in the stations of the Metro Company of São Paulo and assesses the possibilities of using current technologies and their constraints, in proposals for permanent and temporary environmental intervention in the public space in question. Beginning with a conceptual, historical and technical repertoire, surveys in the field and
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 22/11/2012