An Automated 3D Crack Severity Assessment Using Surface Data for Improving Flexible Pavement Maintenance Strategies

Z Li, ME Torbaghan, T Zhang, X Qin… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Evaluation of crack severity in flexible pavements predominantly centers around the analysis
of cracks' surface characteristics. However, this study highlights the critical importance of 3D …

[HTML][HTML] Re-use of built environment-Strategic planning of sampling locations for the environmental impact assessment of former airports: The use-case of the former …

KC Lampropoulos, D Tamvakis, A Samiotakis… - Developments in the …, 2022 - Elsevier
The interaction between the built environment and its surrounding ecosystem needs to be
taken into account when reuse activities are planned. The bilateral influence of building …

Reconstruction and classification of 3D burden surfaces based on two model drived data fusion

S Sun, Z Yu, S Zhang, W Xiao, Y Yang - Expert Systems with Applications, 2023 - Elsevier
Blast furnace (BF) burden surface modeling is the basis for automating precise charging
operations of BFs, and it can also be used to predict gas flow distributions based on a …

Validation of Instruments for the Improvement of Interprofessional Education through Educational Management: An Internet of Things (IoT)-Based Machine Learning …

M Mohamed, F Altinay, Z Altinay, G Dagli, M Altinay… - Sustainability, 2023 - mdpi.com
Educational management is the combination of human and material resources that
supervises, plans, and responsibly executes an educational system with outcomes and …

Deep learning for improved subsurface imaging: enhancing GPR clutter removal performance using contextual feature fusion and enhanced spatial attention

Y Li, P Dang, X Xu, J Lei - Remote Sensing, 2023 - mdpi.com
In engineering practice, ground penetrating radar (GPR) records are often hindered by
clutter resulting from uneven underground media distribution, affecting target signal …

[HTML][HTML] The 3D localization of subsurface pipes from Ground Penetrating Radar images using edge detection and point cloud segmentation

T Mizutani, J Chen, S Yotsumoto - Measurement, 2024 - Elsevier
This research introduces an innovative algorithm using Ground Penetrating Radar (GPR) for
inspecting underground infrastructure non-destructively, surpassing R-CNN methods by …

Information technology of transport infrastructure monitoring based on remote sensing data

SY Danshyna, AS Nechausov… - Radio Electronics …, 2022 - ric.zntu.edu.ua
Context. In the light of current road network monitoring practices, this study aims to explore
the capability of remote sensing technologies to solve the problems of increasing the …

Size estimation of underground targets from GPR frequency spectra: A deep learning approach

N Barkataki, B Tiru, U Sarma - Journal of Applied Geophysics, 2023 - Elsevier
Abstract GPR (Ground Penetrating Radar) is a robust and effective device for identifying
underground artefacts. Construction companies and civil engineers should be aware of the …

Automatic material classification of targets from GPR data using artificial neural networks

N Barkataki, AJ Kalita, U Sarma - 2022 IEEE Silchar Subsection …, 2022 - ieeexplore.ieee.org
Ground penetrating radar (GPR) is a preferred non-destructive method to study and identify
buried objects in the field of geology, civil engineering, archaeology, military, etc. Landmines …

A study of artificial debond pavement under controlled traffic by Ground Penetrating Radar

VHY Hui, X Dérobert, WWL Lai - Journal of Applied Geophysics, 2022 - Elsevier
This study utilized high-frequency Ground Penetrating Radar (GPR) with a center frequency
of 2600 MHz to monitor the critical geometric changes of debonding in a road pavement …