Random Networks
Mostrando 1-12 de 102 artigos, teses e dissertações.
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1. OUTLIER=GROSS ERROR? DO ONLY GROSS ERRORS CAUSE OUTLIERS IN GEODETIC NETWORKS? ADDRESSING THESE AND OTHER QUESTIONS
Abstract This article has theoretically discussed some points regarding outliers caused by errors in geodetic observations (see consideration made). Comments have also been made on the usual 3σ-rule to identify outliers and its common approachs in the simulation of outliers in geodetic networks. Three simulated experiments have been conducted to verify the
Bol. Ciênc. Geod.. Publicado em: 14/10/2019
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2. Adaptive Filtration of Parameters of the UAV Movement Based on the TDOA-Measurement Sensor Networks
ABSTRACT: In modern conditions unmanned aerial vehicles (UAVs) generate new classes of threats, including their use for terrorist purposes. A feature of modern UAVs is the ability to perform sudden maneuvers and to keep the same position in the point in space. For the description of the UAV movement with various types of maneuver it is used a rectangular coo
J. Aerosp. Technol. Manag.. Publicado em: 26/08/2019
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3. Machine learning para análises preditivas em saúde: exemplo de aplicação para predizer óbito em idosos de São Paulo, Brasil
Este estudo objetiva apresentar as etapas relacionadas à utilização de algoritmos de machine learning para análises preditivas em saúde. Para isso, foi realizada uma aplicação com base em dados de idosos residentes no Município de São Paulo, Brasil, participantes do estudo Saúde Bem-estar e Envelhecimento (SABE) (n = 2.808). A variável resposta fo
Cad. Saúde Pública. Publicado em: 29/07/2019
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4. Genotyping of Leptospira interrogans isolates from Mexican patients
ABSTRACT The aim of this study was genotypically characterize Leptospira sp. clinical isolates from Mexico which were previously identified as Leptospira interrogans serovar Pomona (POM) by phenotypic methods. The Random Amplified Polymorphic DNA (RAPD) method was used for DNA amplification with five oligonucleotides. A dendrogram was constructed using the U
Rev. Inst. Med. trop. S. Paulo. Publicado em: 06/05/2019
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5. Modeling of stem form and volume through machine learning
Abstract Taper functions and volume equations are essential for estimation of the individual volume, which have consolidated theory. On the other hand, mathematical innovation is dynamic, and may improve the forestry modeling. The objective was analyzing the accuracy of machine learning (ML) techniques in relation to a volumetric model and a taper function f
An. Acad. Bras. Ciênc.. Publicado em: 18/10/2018
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6. MACHINE LEARNING TECHNIQUES APPLIED TO LIGNOCELLULOSIC ETHANOL IN SIMULTANEOUS HYDROLYSIS AND FERMENTATION
Abstract This paper investigates the use of machine learning (ML) techniques to study the effect of different process conditions on ethanol production from lignocellulosic sugarcane bagasse biomass using S. cerevisiae in a simultaneous hydrolysis and fermentation (SHF) process. The effects of temperature, enzyme concentration, biomass load, inoculum size and
Braz. J. Chem. Eng.. Publicado em: 2017-01
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7. A hybrid model of uniform design and artificial neural network for the optimization of dietary metabolizable energy, digestible lysine, and methionine in quail chicks
A uniform design (UD) was used to construct models to explain the growth response of Japanese quails to dietary metabolizable energy (ME), and digestible methionine (dMet) and lysine (dLys) under tropical condition. In total, 100 floor pens with seven birds each were fed 25 UD different diets containing 25 ME (2808-3092 kcal/kg), dMet (0.31-0.49% of diet), a
Rev. Bras. Cienc. Avic.. Publicado em: 2014-09
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8. Algoritmo de escalonamento DRR com quantum adaptativo para o tráfego downlink de redes IEEE 802.16j / DRR adaptive quantum scheduling algorithm for downlink traffic of IEEE 802.16j networks
IEEE 802.16j networks provide, through the Relay Station (RS), improvements with regard to previous specifications of WiMAX in terms of increased coverage area, reduction of deployment costs due to low cost of RS compared to a Base Station (BS) and system average throughput increase. Its main purpose is to meet demands for wireless broadband access at lower
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 05/10/2012
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9. Avalanches e redes complexas no modelo Kinouchi-Copelli / Avalanches and complex networks in Kinouchi-Copelli model
The capacity of a sensory system in efficiently detecting stimuli is usually given by the dynamic range, a simple measure of the range of stimulus intensity over which the network is sensible enough. Many times biological systems exhibit large dynamic ranges, covering many orders of magnitude. There is no easy explanation for that, since individual neurons p
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 02/08/2012
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10. Modelo distribuído para agregação de armazenamento em redes de sensores sem fio=Distributed model for storage aggregation in wireless sensor networks / Distributed model for storage aggregation in wireless sensor networks
Storage management of Wireless Sensor Networks (WSN) is a very critical issue in terms of system s lifetime. While WSNs host a vast storage capacity on the aggregate, that capacity cannot be used entirely. Eventually, the entire network may fail when the first sensor has its own storage capacity depleted, leaving behind a large amount of unutilized storage c
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 14/12/2011
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11. Relações da estrutura de redes complexas com as dinâmicas do passeio aleatório, de transporte e de sincronização / Relationships between the structure of complex networks and the random walk, transport and synchronization dynamics
O relacionamento entre estrutura e dinâmica em redes complexas foi considerado utilizando-se uma ampla gama de diferentes técnicas. Diversas redes reais foram estudadas em termos das correlações entre grau e atividade. A medida de atividade é definida como a proporção de visitas por vértice no regime estacionário do passeio aleatório simples. O est
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 13/12/2011
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12. PROPOSTA DE UM SISTEMA HÍBRIDO COMPOSTO POR REDES NEURAIS ARTIFICIAIS E ALGORÍTMOS GENÉTICOS PARA O TRATAMENTO DE ALARMES E O DIAGNÓSTICO DE FALTAS EM SISTEMAS ELÉTRICOS DE POTÊNCIA / PROPOSAL OF A HYBRID SYSTEM COMPOSED OF ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHMS FOR THE TREATMENT OF ALARMS, AND FAULT DIAGNOSIS IN ELECTRICAL POWER SYSTEM
This work proposes a hybrid system for alarm processing and fault diagnosis in electrical networks which use two methods of computational intelligence: Generalized Regression Neural Network and Genetic Algorithms. The neural network has the function of processing the set of received alarms and present as a response the characteristic(s) event(s), using for t
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 18/02/2011