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Helon V. H. Ayala

Helon Vicente Hultmann Ayala

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Journal Articles

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2022
[j11]
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Lucas Castro Sousa, Helon Vicente Hultmann Ayala:
Nonlinear Tire Model Approximation Using Machine Learning for Efficient Model Predictive Control. IEEE Access 10: 107549-107562 (2022)
[j10]
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Thaynã França, Arthur Martins Barbosa Braga, Helon Vicente Hultmann Ayala:
Feature engineering to cope with noisy data in sparse identification. Expert Syst. Appl. 188: 115995 (2022)
[j9]
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Sergio Andres Pertuz Mendez, Marta Gherardini, Gabriel Vidigal de Paula Santos, Daniel M. Muñoz, Helon Vicente Hultmann Ayala, Christian Cipriani:
Data-Driven Real-Time Magnetic Tracking Applied to Myokinetic Interfaces. IEEE Trans. Biomed. Circuits Syst. 16(2): 266-274 (2022)
2021
[j8]
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Mateus Gheorghe de Castro Ribeiro, Alan Conci Kubrusly, Helon Vicente Hultmann Ayala, Steve Dixon:
Machine Learning-Based Corrosion-Like Defect Estimation With Shear-Horizontal Guided Waves Improved by Mode Separation. IEEE Access 9: 40836-40849 (2021)
2020
[j7]
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Eduardo De Mendonça Mesquita, Renato Coral Sampaio, Helon Vicente Hultmann Ayala, Carlos H. Llanos:
Recent Meta-Heuristics Improved by Self-Adaptation Applied to Nonlinear Model-Based Predictive Control. IEEE Access 8: 118841-118852 (2020)
[j6]
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Helon Vicente Hultmann Ayala, Didace Habineza, Micky Rakotondrabe, Leandro dos Santos Coelho:
Nonlinear black-box system identification through coevolutionary algorithms and radial basis function artificial neural networks. Appl. Soft Comput. 87: 105990 (2020)
[j5]
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Helon Vicente Hultmann Ayala, Marcos Cesar Gritti, Leandro dos Santos Coelho:
An R library for nonlinear black-box system identification. SoftwareX 11: 100495 (2020)
2019
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Camilo Sánchez-Ferreira, Leandro dos Santos Coelho, Helon V. H. Ayala, Mylène C. Q. Farias, Carlos H. Llanos:
Bio-inspired optimization algorithms for real underwater image restoration. Signal Process. Image Commun. 77: 49-65 (2019)
2015
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Helon Vicente Hultmann Ayala, Fernando Marins dos Santos, Viviana Cocco Mariani, Leandro dos Santos Coelho:
Image thresholding segmentation based on a novel beta differential evolution approach. Expert Syst. Appl. 42(4): 2136-2142 (2015)
2014
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Leandro dos Santos Coelho, Helon Vicente Hultmann Ayala, Viviana Cocco Mariani:
A self-adaptive chaotic differential evolution algorithm using gamma distribution for unconstrained global optimization. Appl. Math. Comput. 234: 452-459 (2014)
2012
[j1]
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Helon Vicente Hultmann Ayala, Leandro dos Santos Coelho:
Tuning of PID controller based on a multiobjective genetic algorithm applied to a robotic manipulator. Expert Syst. Appl. 39(10): 8968-8974 (2012)

Conference and Workshop Papers

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2023
[c26]
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Antonio W. C. Do Lago, Isabel Giron Camerini, Lucas Castro Sousa, Daniel H. B. de Sousa, Felipe Rebelo Lopes, Marco Antonio Meggiolaro, Helon Vicente Hultmann Ayala:
Black-box Identification with Static Neural Networks of Nonlinearities of an Elastomer-based Elastic Joint Manipulator. IJCNN 2023: 1-7
[c25]
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Anna R. S. Ferreira, Vivian Suzano Medeiros, Helon V. H. Ayala, Marco A. Meggiolaro:
Hierarchical control in skid steer mobile robots with nonholonomics constraints. MED 2023: 299-304
[c24]
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Diogo Lopes Fernandes, Felipe Rebelo Lopes, Antonio W. C. Do Lago, Daniel H. B. de Sousa, Marco A. Meggiolaro, Helon Vicente Hultmann Ayala:
System Identification of an elastomeric series elastic actuator using black-box models. MED 2023: 569-574
[c23]
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Davi A. Mendes, Gabriel Reves, M. A. Pastrana, Pedro H. L. S. P. Domingues, Helon V. H. Ayala, Alan Conci Kubrusly, Daniel M. Muñoz, Carlos H. Llanos:
A Comparative Analysis of HDL and HLS for Accelerating Machine Learning based Strain Estimation with Ultrasonic Guided Waves. SBESC 2023: 1-6
2022
[c22]
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Pedro Calderano, Daniel B. De Marins, Helon V. H. Ayala:
A comparison of Feature Extraction Methods for Crack and Ice Monitoring in Wind Turbine Blades: System Identification and Matrix Decomposition. MED 2022: 779-784
2021
[c21]
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Camila L. Pereira, Daniel H. B. de Sousa, Helon V. H. Ayala:
Three-axle vehicle lateral dynamics identification using double lane change maneuvers data. MED 2021: 910-915
[c20]
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Guilherme Rezende Bessa Ferreira, Paula Aida Sesini, Luis Paulo Brasil de Souza, Alan Conci Kubrusly, Helon Vicente Hultmann Ayala:
Corrosion-like Defect Severity Estimation in Pipelines Using Convolutional Neural Networks. SSCI 2021: 1-7
2020
[c19]
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Victor Henrique Alves Ribeiro, Pedro H. L. S. P. Domingues, Paulo Rodrigo Cavalin, Gilberto Reynoso-Meza, Helon Vicente Hultmann Ayala, Luís Fernando Alzuguir Azevedo:
Dynamic Multi-criteria Classifier Selection for Illegal Tapping Detection in Oil Pipelines. IJCNN 2020: 1-8
[c18]
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Lucas Sousa, Helon V. H. Ayala:
Slip Estimation with Receding-horizon Strategy for Off-road Vehicles with Nonlinear Tire Interactions. MED 2020: 381-386
[c17]
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Mateus Gheorghe de Castro Ribeiro, Alan Conci Kubrusly, Helon Vicente Hultmann Ayala:
Damage Detection in Composite Plates with Ultrasonic Guided-waves and Nonlinear System Identification. SSCI 2020: 2039-2046
2019
[c16]
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Pedro H. L. S. P. Domingues, Roberto Zanetti Freire, Leandro dos Santos Coelho, Helon V. H. Ayala:
Bio-Inspired Multiojective Tuning of PID-Controlled Antilock Braking Systems. CEC 2019: 888-895
[c15]
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F. P. Da Costa, Pedro H. L. S. P. Domingues, Roberto Zanetti Freire, Leandro dos Santos Coelho, Ali Reza Tavakolpour-Saleh, Helon V. H. Ayala:
Genetic Algorithm for Topology Optimization of an Artificial Neural Network Applied to Aircraft Turbojet Engine Identification. CEC 2019: 1095-1101
2018
[c14]
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Helon Vicente Hultmann Ayala, Micky Rakotondrabe, Leandro dos Santos Coelho:
Modeling of a 2-DOF Piezoelectric Micromanipulator at High Frequency Rates through Nonlinear Black-box System Identification. ACC 2018: 4354-4359
2017
[c13]
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Carlos Eduardo dos Santos, Leandro dos Santos Coelho, Renato Coral Sampaio, Ricardo P. Jacobi, Helon V. H. Ayala, Carlos H. Llanos:
A SVM optimization tool and FPGA system architecture applied to NMPC. SBCCI 2017: 96-102
2016
[c12]
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Helon Vicente Hultmann Ayala, Emerson Hochsteiner de Vasconcelos Segundo, Luiz Lebensztajn, Viviana Cocco Mariani, Leandro dos Santos Coelho:
Multiobjective wind driven optimization approach applied to transformer design. CEC 2016: 4642-4647
[c11]
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Gabriel Trierweiler Ribeiro, Marcos Cesar Gritti, Helon Vicente Hultmann Ayala, Viviana Cocco Mariani, Leandro dos Santos Coelho:
Short-term load forecasting using wavenet ensemble approaches. IJCNN 2016: 727-734
[c10]
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Helon V. H. Ayala, Renato Coral Sampaio, Daniel M. Muñoz, Carlos H. Llanos, Leandro dos Santos Coelho, Ricardo P. Jacobi:
Nonlinear model predictive control hardware implementation with custom-precision floating point operations. MED 2016: 135-140
2015
[c9]
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Camilo Sánchez-Ferreira, Helon V. H. Ayala, Leandro dos Santos Coelho, Daniel M. Muñoz, Mylène C. Q. Farias, Carlos H. Llanos:
Multi-objective differential evolution algorithm for underwater image restoration. CEC 2015: 243-250
2014
[c8]
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  - conf/cica/AyalaCFC14
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Helon Vicente Hultmann Ayala, Luciano Ferreira da Cruz, Roberto Zanetti Freire, Leandro dos Santos Coelho:
Cascaded free search differential evolution applied to nonlinear system identification based on correlation functions and neural networks. CICA 2014: 102-108
[c7]
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Juliano Pierezan, Helon V. H. Ayala, Luciano Ferreira da Cruz, Roberto Zanetti Freire, Leandro dos Santos Coelho:
Improved multiobjective particle swarm optimization for designing PID controllers applied to robotic manipulator. CICA 2014: 221-228
[c6]
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Helon Vicente Hultmann Ayala, Luciano Ferreira da Cruz, Roberto Zanetti Freire, Leandro dos Santos Coelho:
Cascaded evolutionary multiobjective identification based on correlation function statistical tests for improving velocity analyzes in swimming. MCDM 2014: 185-193
[c5]
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Helon V. H. Ayala, Luciano Ferreira da Cruz, Leandro dos Santos Coelho, Roberto Zanetti Freire:
Swim velocity profile identification through a Dynamic Self-adaptive Multiobjective Harmonic Search and RBF neural networks. ESANN 2014
[c4]
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Leandro dos Santos Coelho, Viviana Cocco Mariani, Helon Vicente Hultmann Ayala, Andre Mendes da Silva, Nelson Jhoe Batistela, Jean Vianei Leite:
Bat-inspired optimization approach applied to jiles-atherton hysteresis parameters tuning. GECCO (Companion) 2014: 1455-1456
2013
[c3]
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Leandro dos Santos Coelho, Helon Vicente Hultmann Ayala, Roberto Zanetti Freire:
Population's variance-based Adaptive Differential Evolution for real parameter optimization. IEEE Congress on Evolutionary Computation 2013: 1672-1677
2012
[c2]
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  - conf/cdc/BagliettoBAT12
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Marco Baglietto, Giorgio Battistelli, Helon Vicente Hultmann Ayala, Pietro Tesi:
Mode-observability conditions for linear and nonlinear systems. CDC 2012: 1941-1947
[c1]
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Helon Vicente Hultmann Ayala, Leandro dos Santos Coelho, Fabio Alessandro Guerra, Mariana Cristina Coelho:
Electrical Transmission Lines Design through Integer Multiobjective Particle Swarm Optimization Approach. SBRN 2012: 214-219

Parts in Books or Collections

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2010
[p1]
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Leandro dos Santos Coelho, Helon Vicente Hultmann Ayala, Nadia Nedjah, Luiza de Macedo Mourelle:
Multiobjective Gaussian Particle Swarm Approach Applied to Multi-loop PI Controller Tuning of a Quadruple-Tank System. Multi-Objective Swarm Intelligent System 2010: 1-16

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