Artificial neural networks and machine learning techniques applied to ground penetrating radar: A review XL Travassos, SL Avila, N Ida Applied Computing and Informatics 17 (2), 296-308, 2021 | 152 | 2021 |
A review of ground penetrating radar antenna design and optimization XL Travassos, SL Avila, RLS Adriano, N Ida Journal of microwaves, optoelectronics and electromagnetic applications 17 …, 2018 | 52 | 2018 |
Characterization of inclusions in a nonhomogeneous GPR problem by artificial neural networks XL Travassos, DAG Vieira, N Ida, C Vollaire, A Nicolas IEEE Transactions on Magnetics 44 (6), 1630-1633, 2008 | 38 | 2008 |
Mixed assembly line rebalancing: A binary integer approach applied to real world problems in the automotive industry FS Oliveira, K Vittori, RMO Russel, XL Travassos International Journal of Automotive Technology 13, 933-940, 2012 | 30 | 2012 |
Digital games and assistive technology: Improvement of communication of children with cerebral palsy MIJ Ferreira, L Alves, R Sampaio, CS Pereira-Guizzo | 24 | 2013 |
Inverse algorithms for the GPR assessment of concrete structures XL Travassos, DAG Vieira, N Ida, C Vollaire, A Nicolas IEEE Transactions on Magnetics 44 (6), 994-997, 2008 | 24 | 2008 |
Antenna optimization using multiobjective algorithms XL Travassos, DAG Vieira, AC Lisboa International Scholarly Research Notices 2012 (1), 369293, 2012 | 22 | 2012 |
Design of Meander‐Line Antennas for Radio Frequency Identification Based on Multiobjective Optimization XL Travassos, AC Lisboa, DAG Vieira International Journal of Antennas and Propagation 2012 (1), 795464, 2012 | 16 | 2012 |
Noise reduction in a non-homogenous ground penetrating radar problem by multiobjective neural networks XL Travassos, DAG Vieira, V Palade, A Nicolas IEEE transactions on magnetics 45 (3), 1454-1457, 2009 | 16 | 2009 |
Optimal configurations for perfectly matched layers in FDTD simulations XL Travassos, SL Avila, D Prescott, A Nicolas, L Krahenbuhl IEEE transactions on magnetics 42 (4), 563-566, 2006 | 16 | 2006 |
A prediction algorithm for data analysis in GPR-based surveys JB Rodriguez, MF Pantoja, XL Travassos, DAG Vieira, RR Saldanha Neurocomputing 168, 464-474, 2015 | 14 | 2015 |
The digital memory game: an assistive technology resource evaluated by children with cerebral palsy SN Silva da Cunha, XL Travassos Junior, R Guizzo, ... Psicologia: Reflexão e Crítica 29, 1-8, 2016 | 13 | 2016 |
The effect of longer development times on product pipeline management performance PS Figueiredo, XL Travassos, E Loiola Revista de Administração Contemporânea 19 (4), 461-485, 2015 | 12 | 2015 |
Signal denoising in engineering problems through the minimum gradient method DAG Vieira, L Travassos, RR Saldanha, V Palade Neurocomputing 72 (10-12), 2270-2275, 2009 | 12 | 2009 |
Use of the RFID technology to overcome inefficiencies in the production process: an analysis of a microcomputer company in Ilhéus–Bahia FWC Araújo Filho, XL Travassos, PS Figueiredo JISTEM-Journal of Information Systems and Technology Management 11 (1), 65-85, 2014 | 11 | 2014 |
In the use of parametric and non parametric algorithms for the non destructive evaluation of concrete structures L Travassos, DAG Vieira, N Ida, A Nicolas Research in Nondestructive Evaluation 20 (2), 71-93, 2009 | 11 | 2009 |
Ground penetrating radar LX Travassos, MF Pantoja Handbook of advanced nondestructive evaluation, 987-1023, 2019 | 10 | 2019 |
Avaliação da metodologia fmea como ferramenta para reduzir impactos ambientais no processo manutenção industrial FA Brand, C Dalmolin, XL Travassos Junior, WM Pachekoski Revista Eletrônica em Gestão, Educação e Tecnologia Ambiental 10, 208, 2013 | 10 | 2013 |
Analyzing the relevant features of GPR scattered waves in time-and frequency-domain FAA Queiroz, DAG Vieira, XL Travassos Research in Nondestructive Evaluation 24 (2), 105-123, 2013 | 9 | 2013 |
Feature extraction and selection in ground penetrating radar with experimental data set of inclusions in concrete blocks FAA Queiroz, DAG Vieira, XL Travassos, MF Pantoja 2012 11th International Conference on Machine Learning and Applications 2, 48-53, 2012 | 6 | 2012 |