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Marcela Novo
Marcela Novo
Verified email at ufba.br
Title
Cited by
Cited by
Year
Three-dimensional finite-volume analysis of directional resistivity logging sensors
MS Novo, LC da Silva, FL Teixeira
IEEE transactions on geoscience and remote sensing 48 (3), 1151-1158, 2009
522009
Finite volume modeling of borehole electromagnetic logging in 3-D anisotropic formations using coupled scalar-vector potentials
MS Novo, LC da Silva, FL Teixeira
IEEE Antennas and Wireless Propagation Letters 6, 549-552, 2007
372007
Tuning of data augmentation hyperparameters in deep learning to building construction image classification with small datasets
ALC Ottoni, RM de Amorim, MS Novo, DB Costa
International Journal of Machine Learning and Cybernetics 14 (1), 171-186, 2023
212023
A comparative analysis of Krylov solvers for three-dimensional simulations of borehole sensors
MS Novo, LC da Silva, FL Teixeira
IEEE Geoscience and Remote Sensing Letters 8 (1), 98-102, 2010
132010
Comparison of coupled-potentials and field-based finite-volume techniques for modeling of borehole EM tools
MS Novo, LC da Silva, FL Teixeira
IEEE Geoscience and Remote Sensing Letters 5 (2), 209-211, 2008
132008
Antenna radiation pattern measurement in a nonanechoic chamber
SM Fróes, P Corral, MS Novo, M Aljaro, ACC Lima
IEEE Antennas and Wireless Propagation Letters 18 (2), 383-386, 2019
122019
Hyperparameter tuning of convolutional neural networks for building construction image classification
ALC Ottoni, MS Novo, DB Costa
The Visual Computer 39 (3), 847-861, 2023
112023
A deep learning approach to vegetation images recognition in buildings: a hyperparameter tuning case study
ALC Ottoni, MS Novo
IEEE Latin America Transactions 19 (12), 2062-2070, 2021
112021
A simple test for measuring the shielding effectiveness of coaxial cables and connectors
KMG Santos, MS Novo, G Fontgalland, MB Perotoni
International Journal of Applied Electromagnetics and Mechanics 55 (1), 151-166, 2017
102017
A perturbation-based method to model electromagnetic logging sensors in eccentric boreholes via conformal transformation optics
GS Rosa, JR Bergmann, FL Teixeira, MS Novo
IET Digital Library, 2018
92018
Deep Learning for vision systems in Construction 4.0: A systematic review
ALC Ottoni, MS Novo, DB Costa
Signal, image and video processing 17 (5), 1821-1829, 2023
82023
Automated hyperparameter tuning for crack image classification with deep learning
ALC Ottoni, AM Souza, MS Novo
Soft Computing 27 (23), 18383-18402, 2023
72023
Evaluation of surface transfer impedance of coaxial cables
K Santos, C de Andrade, V Silva, M Novo, G Fontgalland, M Bender, ...
IEEE Latin America Transactions 18 (03), 598-603, 2020
72020
Shielding effectiveness measurements of coaxial cable and connectors using compact open area test site
KMG Santos, MS Novo, G Fontgalland, MB Perotoni, CL Andrade
Journal of Microwaves, Optoelectronics and Electromagnetic Applications 16 …, 2017
62017
A simple and effective method for cable shielding measurement using electric field probe
KMG dos Santos, MS Novo, G Fontgalland, MB Perotoni
2017 IEEE 3rd Global Electromagnetic Compatibility Conference (GEMCCON), 1-5, 2017
52017
Analysis of the cylindrical pml abc for 2-d finite volume simulations in the frequency domain
LF Ribeiro, MS Novo
2011 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference …, 2011
42011
Shielding Effectiveness in Coaxial Cable Connectors in Ultra High Frequency—UHF—1 GHz to 3 GHz
KMG dos Santos, MS Novo, G Fontgalland, MB Perotoni, CL Andrade
32015
Data augmentation approach in detecting roof pathologies with UASs images
L Staffa, J Nogueira, M Lima, A Ottoni, DB Costa, M Novo
IOP Conference Series: Earth and Environmental Science 1101 (9), 092002, 2022
22022
Avaliação da impedância de transferência de cabos coaxiais RG213 e RGC213 de fabricantes distintos
CL Andrade, VL Silva, MS Novo, KMG Santos
22015
Study On Technical Feasibility Of An Open Area Test Site In Brazil For The UHF Band (300 MHz to 1 GHz)
KMG Santos, MB Perotoni, MS Novo, J Osvaldo, S Paulino, DRM Faria, ...
SAE, 2014
22014
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