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Eduardo Costa de Carvalho
Eduardo Costa de Carvalho
Researcher in Instituto Tecnológico Vale
Verified email at itv.org
Title
Cited by
Cited by
Year
Driver behavior profiling: An investigation with different smartphone sensors and machine learning
JF Júnior, E Carvalho, BV Ferreira, C de Souza, Y Suhara, A Pentland, ...
PLoS one 12 (4), e0174959, 2017
2522017
Exploiting the use of recurrent neural networks for driver behavior profiling
E Carvalho, BV Ferreira, J Ferreira, C De Souza, HV Carvalho, Y Suhara, ...
2017 International Joint Conference on Neural Networks (IJCNN), 3016-3021, 2017
692017
A deep learning approach to detect distracted drivers using a mobile phone
R Torres, O Ohashi, E Carvalho, G Pessin
Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017
242017
Exploiting the use of machine learning in two different sensor network architectures for indoor localization
E Carvalho, BS Faiçal, PR Geraldo Filho, PA Vargas, J Ueyama, G Pessin
2016 IEEE International Conference on Industrial Technology (ICIT), 652-657, 2016
122016
Towards a smart fault tolerant indoor localization system through recurrent neural networks
EC Carvalho, BV Ferreira, PR Geraldo Filho, PH Gomes, GM Freitas, ...
2019 International Joint Conference on Neural Networks (IJCNN), 1-7, 2019
92019
An ensemble of convolutional neural networks for unbalanced datasets: A case study with wagon component inspection
E Fernandes, RL Rocha, B Ferreira, E Carvalho, AC Siravenha, ...
2018 International Joint Conference on Neural Networks (IJCNN), 1-6, 2018
92018
Proposta de Melhoria na Interface do Moodle: Teste de Usabilidade com alunos do Curso de Bacharelado em Administração Pública na Modalidade à Distância da UFPA
EC CARVALHO, MK Eliasquevici
X ESUD, Belém/PA, 2013
82013
Detecção de Anomalias em Comportamento de Abelhas Utilizando Redes Neurais Recorrentes
HVF de Carvalho, EC Carvalho, H Arruda, V Imperatriz-Fonseca, ...
62018
Exploiting the use of convolutional neural networks for localization in indoor environments
BV Ferreira, E Carvalho, MR Ferreira, PA Vargas, J Ueyama, G Pessin
Applied Artificial Intelligence 31 (3), 279-287, 2017
62017
Image inspection of railcar structural components: An approach through deep learning and discrete Fourier transform
RL Rocha, CD Silva, ACS Gomes, BV Ferreira, EC Carvalho, ...
Anais do VII Symposium on Knowledge Discovery, Mining and Learning, 33-40, 2019
42019
Wearable computing for railway environments: Proposal and evaluation of a safety solution
BV Ferreira, G Serejo, MR Ferreira, DF Ferreira, L Cardoso, E Yoshidome, ...
IET Intelligent transport systems 11 (6), 319-325, 2017
42017
Exploiting recurrent neural networks in the forecasting of bees’ level of activity
PAB Gomes, EC de Carvalho, HM Arruda, P de Souza, G Pessin
Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017
42017
Investigação em Arquiteturas de Redes sem Fio para Localização em Ambientes Internos Usando Aprendizado de Máquina
EC de Carvalho
12016
Uso de Redes Neurais Recorrentes para Localização de Agentes em Ambientes Internos
E Carvalho, B Ferreira, M Ferreira, G Pereira, J Ueyama, G Pessin
1*2016
Avaliação de Métodos de Aprendizado de Máquina para Localização de Pessoas em Ambientes Internos
EC de Carvalho, GPR Filho, BS Faiçal, AH Gutierrez, J Ueyama, G Pessin
12015
Assessing U-Net Model Performance in Weather Radar-Based Precipitation Nowcasting: A Reflectivity Threshold Analysis
R Rocha, E Oliveira, E Carvalho, R Tedeschi, C Gosta, D Ferreira, ...
Anais do XX Encontro Nacional de Inteligência Artificial e Computacional …, 2023
2023
A machine learning and statistical learning-based pipeline to perform multipoint rainfall forecasting
E Carvalho, E Oliveira, R Rocha, N Carneiro, R Tedeschi, R Alves
Anais do XX Encontro Nacional de Inteligência Artificial e Computacional …, 2023
2023
Precipitation Forecasting: From Geophysical Aspects to Machine Learning Applications
ECL Oliveira, AV Nogueira Neto, APP Santos, CPWD Costa, JCG Freitas, ...
Frontiers in Climate 5, 1250201, 2023
2023
CNN-DFT Based Approach Applied to Image Inspection of Railcar Component: A Comparison with Machine Learning Methods
R Rocha, C Silva, A Gomes, B Ferreira, E Carvalho, A Siravenha, ...
Journal of Information and Data Management 11 (1), 2020
2020
Improving the performance of a SVM+ HOG classifier for detection and tracking of wagon components by using geometric constraints
CLA Gonçalves, RF Zampolo, FJB Barros, ACS Gomes, EC de Carvalho, ...
Anais Estendidos do XXXII Conference on Graphics, Patterns and Images, 230-236, 2019
2019
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Articles 1–20