Search Results - "Duarte Dória Neto, Adrião"

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  1. 1

    Face Representation for Online Interactions Using Bidirectional Generative Adversarial Networks (BiGANs) by Eyglys Araujo Dos Santos, Keylly, Duarte Doria Neto, Adriao, de Medeiros Martins, Allan

    Published in IEEE access (2024)
    “…In this research, a new method for face representation is presented, which utilizes Bidirectional Generative Adversarial Networks (BiGANs), showing significant…”
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    Journal Article
  2. 2

    New developmental stages for common marmosets ( Callithrix jacchus ) using mass and age variables obtained by K-means algorithm and self-organizing maps (SOM) by de Castro Leão, Adriano, Duarte Dória Neto, Adrião, Bernardete Cordeiro de Sousa, Maria

    Published in Computers in biology and medicine (01-10-2009)
    “…Abstract This study proposes new developmental stages for Callithrix jacchus , using K-Means algorithm and an artificial neural network–self-organising maps…”
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    Journal Article
  3. 3

    Deep reinforcement learning applied to the k-server problem by Lins, Ramon Augusto Sousa, Dória, Adrião Duarte Neto, Melo, Jorge Dantas de

    Published in Expert systems with applications (30-11-2019)
    “…•A novel algorithm for the k-server problem.•The algorithm is less susceptible to the curse of dimensionality problem.•A new perspective on intelligent…”
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    Journal Article
  4. 4
  5. 5

    BR-PlantExpert: A rule-based expert system for operation support in industrial processes by de Souza, Danilo Curvelo, Duarte Doria Neto, Adriao, Guedes, Luiz Affonso

    “…This paper presents a tool that integrates techniques and features to improve the efficiency and effectiveness of the diagnosis and its consequent decision…”
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    Conference Proceeding
  6. 6

    Velocity Prediction of a Pipeline Inspection Gauge (PIG) with Machine Learning by Freitas, Victor Carvalho Galvão De, Araujo, Valbério Gonzaga De, Crisóstomo, Daniel Carlos de Carvalho, Lima, Gustavo Fernandes De, Neto, Adrião Duarte Dória, Salazar, Andrés Ortiz

    Published in Sensors (Basel, Switzerland) (25-11-2022)
    “…A device known as a pipeline inspection gauge (PIG) runs through oil and gas pipelines which performs various maintenance operations in the oil and gas…”
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    Journal Article
  7. 7

    Reactive Search strategies using Reinforcement Learning, local search algorithms and Variable Neighborhood Search by Queiroz dos Santos, João Paulo, de Melo, Jorge Dantas, Duarte Neto, Adrião Dória, Aloise, Daniel

    Published in Expert systems with applications (01-08-2014)
    “…•The proposed algorithm has a stable behavior with standard deviation lesser than 0.5%.•Two instances from the TSPLIB are 100% optimal, 3 are over 99%, 4 are…”
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    Journal Article
  8. 8

    Rats hippocampal field potentials feature extraction of wake and sleep stages in Euclidean space by Lopes dos Santos, Vitor, da Costa Souza, B, Belchior, H A, Neto, Adrião Dória Duarte

    “…This paper presents a new methodology of feature extraction of sleep and wake stages of a freely behaving rat based on Continuous Wavelet Transform (CWT). The…”
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    Conference Proceeding Journal Article
  9. 9

    An efficient approach to the travelling salesman problem using self-organizing maps by Vieira, Frederico Carvalho, Dória Neto, Adrião Duarte, Costa, José Alfredo Ferreira

    Published in International journal of neural systems (01-04-2003)
    “…This paper presents an approach to the well-known Travelling Salesman Problem (TSP) using Self-Organizing Maps (SOM). The SOM algorithm has interesting…”
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    Journal Article
  10. 10

    Deep semi‐supervised classification based in deep clustering and cross‐entropy by Lima, Bruno Vicente Alves, Neto, Adrião Duarte Dória, Silva, Lúcia Emília Soares, Machado, Vinicius Ponte

    “…Self‐labeled techniques, a semi‐supervised classification paradigm (SSC), are highly effective in alleviating the scarcity of labeled data used in…”
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    Journal Article
  11. 11

    Pipeline Inspection Gauge's Velocity Simulation Based on Pressure Differential Using Artificial Neural Networks by de Araújo, Renan Pires, de Freitas, Victor Carvalho Galvão, de Lima, Gustavo Fernandes, Salazar, Andrés Ortiz, Neto, Adrião Duarte Dória, Maitelli, André Laurindo

    Published in Sensors (Basel, Switzerland) (13-09-2018)
    “…Industrial pipelines must be inspected to detect typical failures, such as obstructions and deformations, during their lifetime. In the petroleum industry, the…”
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    Journal Article
  12. 12

    Use of modular networks in the building of constant life diagrams by Freire, Raimundo Carlos Silverio, Neto, Adrião Duarte Dória, de Aquino, Eve Maria Freire

    Published in International journal of fatigue (01-03-2007)
    “…The objective of this paper is to assess the use of new network architectures in modelling and building of constant life diagrams, using a small number of S– N…”
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    Journal Article
  13. 13

    Relating De Morgan triples with Atanassov’s intuitionistic De Morgan triples via automorphisms by da Costa, Claudilene Gomes, Bedregal, Benjamín Callejas, Dória Neto, Adrião Duarte

    “…In this paper the relation between De Morgan triples on the unit interval and Atanassov’s intuitionistic De Morgan triples is presented, showing how to obtain,…”
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    Journal Article
  14. 14

    A Neural Network Multiagent Architecture Applied to Industrial Networks for Dynamic Allocation of Control Strategies Using Standard Function Blocks by Machado, Vinicius, Neto, Adriao, de Melo, Jorge Dantas

    “…This paper presents a multiagent architecture applied to factory automation. These agents detect faults in automated processes and allocate intelligent…”
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    Journal Article
  15. 15

    Comparative study between ANN models and conventional equations in the analysis of fatigue failure of GFRP by Silverio Freire, Raimundo Carlos, Dória Neto, Adrião Duarte, De Aquino, Eve Maria Freire

    Published in International journal of fatigue (01-05-2009)
    “…The purpose of this paper is to assess the applicability of two artificial neural networks (ANN) architecture, perceptron ANN, modular ANN, and Adam’s equation…”
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    Journal Article
  16. 16

    An Adaptive Learning Approach for 3-D Surface Reconstruction From Point Clouds by de Medeiros Brito Junior, A., Doria Neto, A.D., Dantas de Melo, J., Garcia Goncalves, L.M.

    Published in IEEE transactions on neural networks (01-06-2008)
    “…In this paper, we propose a multiresolution approach for surface reconstruction from clouds of unorganized points representing an object surface in 3-D space…”
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    Journal Article
  17. 17

    Q-Managed: A new algorithm for a multiobjective reinforcement learning by Oliveira, Thiago Henrique Freire de, Medeiros, Luiz Paulo de Souza, Neto, Adrião Duarte Dória, Melo, Jorge Dantas

    Published in Expert systems with applications (15-04-2021)
    “…Multi-objective reinforcement learning (MORL) involves the use of reinforcement learning techniques to address problems with multiple objectives, conflicting…”
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    Journal Article
  18. 18

    Fuzzy pay-off method for real options: The center of gravity approach with application in oilfield abandonment by Borges, Roberto Evelim Penha, Dias, Marco Antonio Guimarães, Dória Neto, Adrião Duarte, Meier, Andreas

    Published in Fuzzy sets and systems (15-12-2018)
    “…This paper presents the CoG-FPOM, an adaptation of the Fuzzy Pay-Off Method (FPOM). The FPOM is a scenario-based real option valuation method that uses fuzzy…”
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    Journal Article
  19. 19

    CONCEITOS DE ERGODICIDADE E AUTOCORREÇÃO APLICADOS AO FILTRO DE WIENER by Costa, Roberto Douglas, Doria Neto, Adrião Duarte, Valentim, Ricardo Alexsandro de Medeiros, Castro, Hilário Jose Silveira, Silva, José Wanderson Oliveira

    Published in Holos (Natal, RN) (29-08-2017)
    “…Atualmente, diferentes técnicas têm sido desenvolvidas para tratamento de sinais com o objetivo da remoção de ruídos existentes, principalmente em sinais de…”
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    Journal Article
  20. 20

    An genetic approach to Support Vector Machines in classification problems by de A Padilha, Carlos Alberto, Lima, Naiyan Hari C, Neto, Adrião Duarte Dória, de Melo, Jorge Dantas

    “…There are a lot of different methods in pattern classification, in which one of the most popular is the Support Vector Machine. Lots of tools have been…”
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    Conference Proceeding