Haroldo F. de Campos Velho

发表

Particle swarm optimization with turbulence (PSOT) applied to thermal-vacuum modelling

Ernesto Araujo, Fernando P. A. Araujo, José Carlos Becceneri, 2009, 2009 IEEE International Conference on Fuzzy Systems.

Rotation-Based Multi-Particle Collision Algorithm with Hooke–Jeeves Approach Applied to the Structural Damage Identification

Haroldo F. de Campos Velho, Reynier Hernández Torres, Leonardo D. Chiwiacowsky, 2019 .

Neural networks in auroral data assimilation

Haroldo F. de Campos Velho, Fabrício Pereira Harter, Erico L. Rempel, 2008 .

Reconstruction of Chlorophyll Concentration Profile in Offshore Ocean Water using a Parallel Ant Colony Code

Haroldo F. de Campos Velho, Roberto P. Souto, Stephan Stephany, 2004, Hybrid Metaheuristics.

Combining a Parallel Genetic Algorithm with Variational Approach for Assessing Structural Damage

Haroldo F. de Campos Velho, Leonardo D. Chiwiacowsky, S. B. M. Sambatti, 2006 .

Un enfoque al diagnóstico de fallos aplicando meta heurísticas: nueva variante del algoritmo Evolución Diferencial

Antônio José da Silva Neto, Haroldo F. de Campos Velho, Lídice Camps Echevarría, 2014, Computación y Sistemas.

Applications of the Fault Diagnosis: Inverse Problem Methodology to Benchmark Problems

Antônio José da Silva Neto, Haroldo F. de Campos Velho, Lídice Camps Echevarría, 2019 .

A two-level procedure based on genetic algorithms to optimize an aeronautical composite structure

Paolo Gasbarri, Haroldo F. de Campos Velho, Leonardo D. Chiwiacowsky, 2012, SAC '12.

Metaheuristics for Optimization Problems

Antônio José da Silva Neto, Haroldo F. de Campos Velho, Lídice Camps Echevarría, 2019 .

A proposal for regime change/duration classification in chaotic systems

Heloisa A. Camargo, Haroldo F. de Campos Velho, Priscilla de Abreu Lopes, 2015, IFSA-EUSFLAT.

An Approach to Fault Diagnosis Using Meta-Heuristics: a New Variant of the Differential Evolution Algorithm

Antônio José da Silva Neto, Haroldo F. de Campos Velho, Lídice Camps Echevarría, 2014 .

Numerical Experiments for Time Integration of 2D Burgers’ Equations

Haroldo F. de Campos Velho, Stephan Stephany, Antonio Maurıcio Zarzur, 2018 .

Image matching applied to autonomous navigation of unmanned aerial vehicles

Elcio Hideiti Shiguemori, Haroldo F. de Campos Velho, C. A. O. Silva, 2016, Int. J. High Perform. Syst. Archit..

Chaotic Systems Predictability Using Neuro-Fuzzy Systems and Neural Networks with Bred Vectors

Haroldo F. de Campos Velho, Pettras Leonardo Bueno dos Santos, Rosangela Cintra, 2014 .

DATA ASSIMILATION USING AN ADAPTIVE KALMAN FILTER AND LAPLACE TRANSFORM

Haroldo F. de Campos Velho, A. G. Nowosad, A. Rios Neto, 2000 .

Multi-Particle Collision Algorithm with Hooke Jeeves applied to the damage identification in a Kabe Problem

Haroldo F. de Campos Velho, Reynier Hernández Torres, Leonardo D. Chiwiacowsky, 2018 .

An image matching system for autonomous UAV navigation based on neural network

Patrick Doherty, Elcio Hideiti Shiguemori, Haroldo F. de Campos Velho, 2016, 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV).

Criteria for mixed grids in computational fluid dynamics

Haroldo F. de Campos Velho, Fernando M. Ramos, Erwin Doescher, 2006, Math. Comput. Simul..

Nonlinear Method of Reduction of Dimensionality Based on Artificial Neural Network and Hardware Implementation

Antonio Plaza, Haroldo F. de Campos Velho, Elcio H. Shiguemori, 2015 .

Helmholtz-Hodge decomposition and the analysis of 2D vector field ensembles

Haroldo F. de Campos Velho, Hélio Lopes, Paula Ceccon Ribeiro, 2016, Comput. Graph..

Atmospheric temperature retrieval from satellite data: new non-extensive artificial neural network approach

Elcio Hideiti Shiguemori, Haroldo F. de Campos Velho, José Demisio Simões da Silva, 2008, SAC '08.

Investigation of different topologies of neural networks for data assimilation

Haroldo F. de Campos Velho, Fabrício Pereira Harter, 2014 .

UAV Autonomous Navigation by Data Fusion and FPGA

Haroldo F. de Campos Velho, Elcio H. Shiguemori, E. H. Shiguemori, 2019 .

Extreme event dynamics in the formation of galaxy-sized dark matter structures

Haroldo F. de Campos Velho, Fernando M. Ramos, Reinaldo R. Rosa, 2009, Comput. Phys. Commun..

Estimation of UAV position using LiDAR images for autonomous navigation over the ocean

Elcio Hideiti Shiguemori, Haroldo F. de Campos Velho, Jose R. G. Braga, 2015, 2015 9th International Conference on Sensing Technology (ICST).

Parallel implementation of a Lagrangian stochastic model for pollution dispersion

Haroldo F. de Campos Velho, Roberto P. Souto, Domenico Anfossi, 2004, 16th Symposium on Computer Architecture and High Performance Computing.

Metaheuristics for Computing Cosmic Microwave Background Maps

Haroldo F. de Campos Velho, Stephan Stephany, A. J. Preto, 2018 .

A parallel implementation of the LTSn method for a radiative transfer problem

Haroldo F. de Campos Velho, Roberto P. Souto, Stephan Stephany, 2003, Proceedings. 15th Symposium on Computer Architecture and High Performance Computing.

Reconstruction of vertical profiles of the absorption and scattering coefficients from multispectral radiances

Haroldo F. de Campos Velho, Stephan Stephany, Roberto Pinto Souto, 2006, Math. Comput. Simul..

Estimation of Tumor Size Evolution Using Particle Filters

Helcio R. B. Orlande, George S. Dulikravich, Haroldo F. de Campos Velho, 2015, J. Comput. Biol..

A committee of MLP with adaptive slope parameter trained by the quasi-Newton method to solve problems in hydrologic optics

Haroldo F. de Campos Velho, Fábio Dall Cortivo, Ezzat S. Chalhoub, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Multiple Particle Collision Algorithm Applied to Radiative Transference and Pollutant Localization Inverse Problems

José Carlos Becceneri, Haroldo F. de Campos Velho, Eduardo Fávero Pacheco da Luz, 2011, 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum.

Optimized Neural Network Code for Data Assimilation

Haroldo F. de Campos Velho, Nandamudi L. Vijaykumar, Stephan Stephany, 2002 .

Challenges for mesoscale climatology execution on experimental grid computing systems

Haroldo F. de Campos Velho, A. J. Preto, Eugenio Sper de Almeida, 2013, Journal of the Brazilian Computer Society.

Use of Artificial Neural Networks for Automatic Categorical Change Detection in Satellite Imagery

Patrick Doherty, Haroldo F. de Campos Velho, Elcio H. Shiguemori, 2016 .

Drone Autonomous Navigation by Hardware Image Processing

Elcio Hideiti Shiguemori, Haroldo F. de Campos Velho, Patrick Doherty, 2019 .

Damage Identification in a Multi-DOF System under Uncertainties Using Optimization Algorithms

Haroldo F. de Campos Velho, Thiago G. Ritto, Jose Herskovits, 2018 .

A research agenda for iterative approaches to inverse problems using evolutionary computation

Inman Harvey, Phil Husbands, Haroldo F. de Campos Velho, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

Image Edge Extraction by Artificial Intelligence Schemes for UAV Autonomous Navigation

Haroldo F. de Campos Velho, Elcio H. Shiguemori, Nandamudi L. Vijaykumar, 2020 .

Neural-estimator for the surface emission rate of atmospheric gases pdf

Haroldo F. de Campos Velho, F. F. Paes, H. Velho, 2009, ArXiv.

Image Processing for UAV Autonomous Navigation Applying Self-configuring Neural Network

Haroldo F. de Campos Velho, Elcio H. Shiguemori, J. Braga, 2019 .

Neural network and fuzzy logic statistical downscaling of atmospheric circulation-type specific weather pattern for rainfall forecasting

Ernesto Araujo, Haroldo F. de Campos Velho, Maria C. Valverde, 2014, Appl. Soft Comput..

Parallel Implementation of a Lagrangian Stochastic Model for Pollutant Dispersion

Haroldo F. de Campos Velho, Roberto P. Souto, Domenico Anfossi, 2005, International Journal of Parallel Programming.

Combined weightless neural network FPGA architecture for deforestation surveillance and visual navigation of UAVs

Haroldo F. de Campos Velho, Elcio H. Shiguemori, Antônio de Pádua Braga, 2020, Eng. Appl. Artif. Intell..

Data assimilation: Particle filter and artificial neural networks

Haroldo F. de Campos Velho, Elbert E. N. Macau, Helaine Cristina Morais Furtado, 2008 .

A Fast Poisson Solver for Hybrid Reconfigurable System

Haroldo F. de Campos Velho, Vitor Gomes, Andrea Charão, 2013, ARC.

Model Based Fault Diagnosis and Inverse Problems

Antônio José da Silva Neto, Haroldo F. de Campos Velho, Lídice Camps Echevarría, 2019 .

Processing Mesoscale Climatology in a Grid Environment

Philippe Olivier Alexandre Navaux, Jairo Panetta, Haroldo F. de Campos Velho, 2007, Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07).

Damage identification in a multi-DOF system under uncertainties using optimization algorithms

Haroldo F. de Campos Velho, Thiago G. Ritto, Ricardo Fernandes Ribeiro, 2017 .

Determining the Trajectory of Unmanned Aerial Vehicles by a Novel Approach for the Particle Filter

Haroldo F. de Campos Velho, Elcio H. Shiguemori, E. H. Shiguemori, 2018 .

New learning strategy for supervised neural network: MPCA meta-heuristic approach

Haroldo F. de Campos Velho, S. B. M. Sambatti, Juliana A. Anochi, 2016 .

Data Assimilation by Artificial Neural Networks for an Atmospheric General Circulation Model: Conventional Observation pdf

Haroldo F. de Campos Velho, Rosângela Saher Corrêa Cintra, R. Cintra, 2014, ArXiv.

Estimation of UAV position with use of thermal infrared images

Elcio Hideiti Shiguemori, Haroldo F. de Campos Velho, Nandamudi Lankalapalli Vijaykumar, 2015, 2015 9th International Conference on Sensing Technology (ICST).

Tracking the model: Data assimilation by artificial neural network

Haroldo F. de Campos Velho, Rosângela Saher Corrêa Cintra, Steven Cocke, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Atmospheric temperature retrieval using a Radial Basis Function Neural Network

Haroldo F. de Campos Velho, José Demisio Simões da Silva, Jonas C. Carvalho, 2008, Int. J. Inf. Commun. Technol..

The fault diagnosis inverse problem with Ant Colony Optimization and Ant Colony Optimization with dispersion

Orestes Llanes-Santiago, Antônio José da Silva Neto, José Carlos Becceneri, 2014, Appl. Math. Comput..

Tree Crown Delineation Algorithm Based on a Convolutional Neural Network

Ricardo Dalagnol, Elcio Hideiti Shiguemori, Haroldo F. de Campos Velho, 2020, Remote. Sens..

Análise do Software Paralelo AHF para Identificação de Estruturas em Cosmologia

Haroldo F. de Campos Velho, Andrea Schwertner Charão, Ana Luísa V. Solórzano, 2018 .

Fault Diagnosis Inverse Problems

Antônio José da Silva Neto, Haroldo F. de Campos Velho, Lídice Camps Echevarría, 2019 .

Neural networks for emulation variational method for data assimilation in nonlinear dynamics

Haroldo F. de Campos Velho, Elbert E. N. Macau, Helaine Cristina Morais Furtado, 2011 .

Diagnosing Time-Dependent Incipient Faults

Orestes Llanes-Santiago, Antônio José da Silva Neto, Haroldo F. de Campos Velho, 2016 .

Epidemic Genetic Algorithm for Solving Inverse Problems: Parallel Algorithms

Haroldo F. de Campos Velho, Leonardo D. Chiwiacowsky, S. B. M. Sambatti, 2019, Integral Methods in Science and Engineering.

Optimization of feedforward neural network by Multiple Particle Collision Algorithm

Haroldo F. de Campos Velho, Juliana A. Anochi, H. Velho, 2014, 2014 IEEE Symposium on Foundations of Computational Intelligence (FOCI).

Machine Learning for Climate Precipitation Prediction Modeling over South America

Haroldo F. de Campos Velho, Juliana Aparecida Anochi, Vinícius Albuquerque de Almeida, 2021, Remote. Sens..

A Damage Detection Method Using Neural Network Optimized by Multiple Particle Collision Algorithm

Elcio Hideiti Shiguemori, Haroldo F. de Campos Velho, Osamu Saotome, 2021, J. Sensors.

Inverse problems for estimating bottom boundary conditions of natural waters

Haroldo F. de Campos Velho, M. R. Retamoso, M. T. Vilhena, 2002 .

Neural network for performance improvement in atmospheric prediction systems: Data Assimilation

Haroldo F. de Campos Velho, Helaine Cristina Morais Furtado, Rosangela Cintra, 2016 .

The aster mission: Exploring for the first time a triple system asteroid

Antonio G. V. de Brum, Haroldo F. de Campos Velho, Othon Cabo Winter, 2011 .

Multispectral reconstruction of bioluminescence term in natural waters

Haroldo F. de Campos Velho, H. Velho, E. Chalhoub, 2003 .

Fault Diagnosis Inverse Problems: Solution with Metaheuristics

Orestes Llanes-Santiago, Antônio José da Silva Neto, Haroldo F. de Campos Velho, 2018, Studies in Computational Intelligence.

Position Estimation Of UAV By Image Processing With Neural Networks

Haroldo F. de Campos Velho, Elcio H. Shiguemori, G. A. M. Goltz, 2016 .

IDENTIFYING INITIAL CONDITION IN HEAT CONDUCTION TRANSFER BY A GENETIC ALGORITHM : A PARALLEL APPROACH

Haroldo F. de Campos Velho, Leonardo D. Chiwiacowsky, Stephan Stephany, 2003 .

GLOBAL DATA ASSIMILATION USING ARTIFICIAL NEURAL NETWORKS IN SPEEDY MODEL

Haroldo F. de Campos Velho, Rosangela. S. Cintra, 2011 .

Grid computing for mesoscale climatology : experimental comparison of three platforms

Jairo Panetta, Philippe O. A. Navaux, Haroldo F. de Campos Velho, 2006 .

RECURRENT AND FEEDFORWARD NEURAL NETWORKS APPLIED TO THE DATA ASSIMILATION IN CHAOTIC DYNAMICS

Haroldo F. de Campos Velho, Fabrı́cio P. Härter, .

Multilayer Perceptron on data assimilation applied to FSU global model

Haroldo F. de Campos Velho, Steven Cocke, R. Cintra, 2015 .

New approach to applying neural network in nonlinear dynamic model

Haroldo F. de Campos Velho, Fabrício Pereira Harter, H. Velho, 2008 .

PHASE FUNCTION ESTIMATION IN NATURAL WATERS USING DISCRETE ORDINATES METHOD AND MAXIMUM ENTROPY PRINCIPLE

Haroldo F. de Campos Velho, Fernando M. Ramos, H. Velho, 2000 .

Estimation of boundary condition in hydrologic optics

Haroldo F. de Campos Velho, Fernando M. Ramos, H. Velho, 2002 .

Novel approaches to entropic regularization

Haroldo F. de Campos Velho, Fernando M. Ramos, Nelson Jesus Ferreira, 1999 .

A comparison of some inverse methods for estimating the initial condition of the heat equation

Haroldo F. de Campos Velho, Fernando M. Ramos, H. Velho, 1999 .