Learning-by-examples techniques as applied to electromagnetics
There is a wide number of problems in electromagnetic (EM) engineering that require a real-
time response or in which the input–output relationship is not a-priori known or cannot be …
time response or in which the input–output relationship is not a-priori known or cannot be …
Automatic recognition of tunnel lining elements from GPR images using deep convolutional networks with data augmentation
Tunnel lining inspection using ground penetrating radar (GPR) is a routine procedure to
ensure construction quality. Yet, the interpretation of GPR data relies heavily on manual …
ensure construction quality. Yet, the interpretation of GPR data relies heavily on manual …
Review of artificial intelligence applications for virtual sensing of underground utilities
Accurately identifying the location and depth of buried utility assets became a considerable
challenge in the construction industry, for which accidental strikes can cause important …
challenge in the construction industry, for which accidental strikes can cause important …
[HTML][HTML] Seamless mapping of long-term (2010–2020) daily global XCO and XCH from the Greenhouse Gases Observing Satellite (GOSAT), Orbiting Carbon …
Precise and continuous monitoring of long-term carbon dioxide (CO 2) and methane (CH 4)
over the globe is of great importance, which can help study global warming and achieve the …
over the globe is of great importance, which can help study global warming and achieve the …
Radarcat: Radar categorization for input & interaction
In RadarCat we present a small, versatile radar-based system for material and object
classification which enables new forms of everyday proximate interaction with digital …
classification which enables new forms of everyday proximate interaction with digital …
GPR B scan image analysis with deep learning methods
In this paper, we propose a Convolutional Support Vector Machine (CSVM) network for the
analysis of Ground Penetrating Radar B Scan (GPR B Scan) images. Similar to a …
analysis of Ground Penetrating Radar B Scan (GPR B Scan) images. Similar to a …
In-situ recognition of moisture damage in bridge deck asphalt pavement with time-frequency features of GPR signal
J Zhang, C Zhang, Y Lu, T Zheng, Z Dong… - … and Building Materials, 2020 - Elsevier
A complete solution, including an effective non-destructive evaluation (NDE) method and an
automatic recognition model, was provided for the rapid diagnosis of moisture damage in …
automatic recognition model, was provided for the rapid diagnosis of moisture damage in …
GPR signature detection and decomposition for mapping buried utilities with complex spatial configuration
The information of exact locations of underground utilities is an essential piece of evidence
for preventing utility strikes in excavation work. Ground penetrating radar (GPR), which has …
for preventing utility strikes in excavation work. Ground penetrating radar (GPR), which has …
Performance assessment of SVM-based classification techniques for the detection of artificial debondings within pavement structures from stepped-frequency A-scan …
SS Todkar, C Le Bastard, V Baltazart, A Ihamouten… - NDT & E …, 2019 - Elsevier
Owing to traffic and weather conditions, pavement structures may suffer from horizontal and
vertical cracks that shorten the overall lifetime of roadways. In this paper, we focus on the …
vertical cracks that shorten the overall lifetime of roadways. In this paper, we focus on the …
The noise attenuation and stochastic clutter removal of ground penetrating radar based on the K-SVD dictionary learning
D Feng, S Liu, J Yang, X Wang, X Wang - IEEE Access, 2021 - ieeexplore.ieee.org
The ground penetrating radar (GPR) data in the complex detection environment is non-
stationary, non-Gaussian, and non-uniform, so the traditional noise attenuation methods are …
stationary, non-Gaussian, and non-uniform, so the traditional noise attenuation methods are …