A Review of Soft Techniques for Electromagnetic Assessment of Concrete Condition
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Douglas A. G. Vieira | X. L. Travassos | Mario F. Pantoja | M. F. Pantoja | F. A. A. Queiroz | D. Vieira | F. Queiroz
[1] Xisto Travassos,et al. Inverse Algorithms for the GPR Assessment of Concrete Structures , 2008, IEEE Transactions on Magnetics.
[2] X.L. Travassos,et al. Noise Reduction in a Non-Homogenous Ground Penetrating Radar Problem by Multiobjective Neural Networks , 2009, IEEE Transactions on Magnetics.
[3] Vasile Palade,et al. Signal denoising in engineering problems through the minimum gradient method , 2009, Neurocomputing.
[4] G. Arliguie,et al. Non-destructive evaluation of concrete physical condition using radar and artificial neural networks , 2009 .
[5] L. Conyers. Ground-Penetrating Radar Techniques to Discover and Map Historic Graves , 2006 .
[6] Masoud Nikravesh,et al. Feature Extraction - Foundations and Applications , 2006, Feature Extraction.
[7] D. Daniels. Ground Penetrating Radar , 2005 .
[8] Steve Millard,et al. Location of steel reinforcement in concrete using ground penetrating radar and neural networks , 2005 .
[9] Guangyin Lu,et al. Review of GPR Rebar Detection , 2009 .
[10] Mary M. Poulton,et al. Computational Neural Networks for Geophysical Data Processing , 2001 .
[11] Larry A. Rendell,et al. A Practical Approach to Feature Selection , 1992, ML.
[12] P. K. Mehta. Concrete: Structure, Properties, and Materials , 1992 .
[13] Steven R. Doctor,et al. SAFT — the evolution of a signal processing technology for ultrasonic testing , 1986 .
[14] S.R.H. Hoole,et al. Artificial neural networks in the solution of inverse electromagnetic field problems , 1993 .
[15] Mokhtar S. Bazaraa,et al. Nonlinear Programming: Theory and Algorithms , 1993 .
[16] Ikhlas Abdel-Qader,et al. Fractals and independent component analysis for defect detection in bridge decks , 2011 .
[17] Harry M. Jol,et al. Ground penetrating radar : theory and applications , 2009 .
[18] Douglas A. G. Vieira,et al. Analyzing the Relevant Features of GPR Scattered Waves in Time- and Frequency-Domain , 2013 .
[19] James H. Garrett,et al. Ground-penetrating radar for highway and bridge deck condition assessment and inventory , 1995, Smart Structures.
[20] Xiongyao Xie,et al. A fuzzy comprehensive evaluation system of mountain tunnel lining based on the fast nondestructive inspection , 2011, 2011 International Conference on Remote Sensing, Environment and Transportation Engineering.
[21] Gerd Dobmann,et al. Non-destructive evaluation of reinforced concrete structures , 2010 .
[22] Salvatore Caorsi,et al. An electromagnetic approach based on neural networks for the GPR investigation of buried cylinders , 2005, IEEE Geoscience and Remote Sensing Letters.
[23] René Marklein,et al. Nondestructive testing of concrete with electromagnetic and elastic waves: Modeling and imaging , 2006 .
[24] Naftali Tishby,et al. Margin based feature selection - theory and algorithms , 2004, ICML.
[25] Oral Buyukozturk,et al. A methodology for determining complex permittivity of construction materials based on transmission-only coherent, wide-bandwidth free-space measurements , 2006 .
[26] J. H. Bungey,et al. Radar assessment of structural concrete using neural networks , 1995 .
[27] Joaquín Izquierdo,et al. Location of buried plastic pipes using multi-agent support based on GPR images , 2011 .
[28] A. Nicolas,et al. In the Use of Parametric and Non Parametric Algorithms for the Non Destructive Evaluation of Concrete Structures , 2009 .
[29] J. H. Bungey,et al. SUB-SURFACE RADAR TESTING OF CONCRETE: A REVIEW , 2004 .
[30] Malcolm K. Lim,et al. RAPID AND ECONOMICAL EVALUATION OF CONCRETE TUNNEL LININGS WITH IMPULSE RESPONSE AND IMPULSE RADAR NONDESTRUCTIVE METHODS , 2005 .
[31] X.L. Travassos,et al. Characterization of Inclusions in a Nonhomogeneous GPR Problem by Artificial Neural Networks , 2008, IEEE Transactions on Magnetics.
[32] Imad L. Al-Qadi,et al. Dielectric Properties of Portland Cement Concrete at Low Radio Frequencies , 1995 .