Network Modeling
Mostrando 13-24 de 297 artigos, teses e dissertações.
-
13. Modeling of tree recruitment by artificial neural networks after wood harvesting in a forest in eastern Amazon rain forest
Resumo A modelagem do recrutamento em florestais tropicais é importante para estudos de sustentabilidade do manejo florestal, por dar subsídio adequado à recuperação do estoque de madeira. O objetivo do trabalho foi estimar o recrutamento após a colheita de madeira, empregando um modelo de rede neural artificial (RNA). A área de estudo está localizad
Ciênc. Florest.. Publicado em: 30/09/2019
-
14. MODELING AND SIMULATING LAND USE/COVER CHANGE USING ARTIFICIAL NEURAL NETWORK FROM REMOTELY SENSING DATA
ABSTRACT Increasing population, mobility and requirements of human beings have significant effects on the dynamics of land use and land cover. Today, these impacts need to be understood and analyzed for the applicability of decision support systems, which are an important tool in the management of natural resources, urban and rural areas. The aim of this stu
CERNE. Publicado em: 09/09/2019
-
15. ARTIFICIAL NEURAL NETWORKS APPLIED IN FOREST BIOMETRICS AND MODELING: STATE OF THE ART (JANUARY/2007 TO JULY/2018)
ABSTRACT Artificial Intelligence has been an important support tool in different spheres of activity, enabling knowledge aggregation, process optimization and the application of methodologies capable of solving complex real problems. Despite focusing on a wide range of successful metrics, the Artificial Neural Network (ANN) approach, a technique similar to t
CERNE. Publicado em: 09/09/2019
-
16. 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
-
17. Modeling and hydraulic performance evaluation of a dripper device coupled to a branched water distribution network
Resumo A irrigação é responsável por aproximadamente 70% do consumo de água doce do mundo e é um dos principais fatores por trás da crescente escassez de água global. As técnicas e sistemas de irrigação são extremamente diferenciadas e complexas. Neste contexto, as ferramentas de dinâmica de fluidos computacional (CFD) ganham relevância, permit
Rev. Ambient. Água. Publicado em: 03/06/2019
-
18. Estimates of reference evapotranspiration in the municipality of Ariquemes (RO) using neural networks GMDH-type
RESUMO A evapotranspiração de referência é uma variável climatológica de suma importância para o dimensionamento do uso da água nos métodos de irrigação. Neste sentido, com o intuito de contribuir para o entendimento climático de Ariquemes, RO, o estudo tem como objetivo modelar o comportamento da série temporal da evapotranspiração de referê
Rev. bras. eng. agríc. ambient.. Publicado em: 06/05/2019
-
19. Sports Mega-Event Sponsorship: The Impact of FIFA Reputation and World Cup Image on Sponsor Brand Equity
Abstract The present study investigates the influence the organizing body’s reputation has on the image of a sports mega-event and on the mega-event sponsors’ consumer-based brand equities. The study's main theoretical references are Associative Network Theory (Collins & Loftus, 1975) and Schema Theory (Axelrod, 1973), both about the functioning of the h
BAR, Braz. Adm. Rev.. Publicado em: 02/05/2019
-
20. Credibility, audacity and joy: Brand personalities that connect users to social media
Abstract The main purpose of this article is to evaluate the influence brand personality has on customer loyalty in the context of social networks as brands. We conducted a survey of 268 social networks users in Brazil and analyzed data through Structural Equation Modeling. As a result, brand personality dimensions Credibility, Audacity and Joy were found to
BAR, Braz. Adm. Rev.. Publicado em: 21/01/2019
-
21. Application of artificial neural networks in the prediction of sugarcane juice Pol
RESUMO Técnicas inovadoras que busquem minimizar os custos de produção e a onerosidade de determinadas operações são um dos grandes desafios atualmente no setor sucroenergético. Nesse sentido, objetivou-se estimar os valores do Pol do caldo da cana-de-açúcar, em função do °Brix e do peso do bolo úmido (PBU), utilizando modelagem por redes neurai
Rev. bras. eng. agríc. ambient.. Publicado em: 2019-01
-
22. Value-based medicine in oncology: the importance of perspective in the emerging value frameworks
Recently, professional and healthcare-related entities have launched frameworks designed to assess the value of cancer innovations in multistakeholder decision processes. Among the most visible entities that propose and implement value frameworks in oncology are the European Society of Medical Oncology (ESMO), the American Society of Clinical Oncology (ASCO)
Clinics. Publicado em: 10/12/2018
-
23. Computational Model for Microgeneration Simulation, From Solar and Wind Renewable Sources, With Optimal Allocation of Loads, Electric Vehicle and Energy Storage, In a Residential Electrical Micro Network
Abstract The electrical sector is under constant evolution. One of the areas refers to the consumers that come to be generators, implementing distributed generation, interconnected to a smart grid. This article discusses the improvement of an algorithm, already presented in the literature, to make the best temporal allocation of loads, electric vehicle, stor
Braz. arch. biol. technol.. Publicado em: 29/10/2018
-
24. Artificial neural networks modeling of kinetic curves of celeriac (Apium graveolens L.) in vacuum drying
Abstract The objective of this study was to predict celeriac drying curves using artificial neural networks (ANNs). The experimental data for vacuum drying kinetics of celeriac slices reported by other researcher in the previously published article was used. The air temperature, chamber pressure and time values were used as ANN inputs. To predict the moistu
Food Sci. Technol. Publicado em: 30/07/2018