Intelligent recognition of subsurface utilities and voids: A ground penetrating radar dataset for deep learning applicationsMendeley Data
Ground Penetrating Radar (GPR), has emerged as a powerful non-invasive geophysical technique for detecting subsurface utilities, voids, and other subsurface anomalies. However, despite its widespread use in geophysical investigations, and construction management, there is lack of available datasets...
Saved in:
Main Authors: | Abdelaziz Mojahid, Driss El Ouai, Khalid El Amraoui, Khalil El-Hami, Hamou Aitbenamer |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-04-01
|
Series: | Data in Brief |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925000708 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Modelling of reactor CPS cooling circuit voiding
by: Narimantas Listopadskis, et al.
Published: (2023-09-01) -
An ultrasonic-AI hybrid approach for predicting void defects in concrete-filled steel tubes via enhanced XGBoost with Bayesian optimization
by: Shuai Wan, et al.
Published: (2025-07-01) -
Effect of Apical Preparation on Different Needle Depth Penetration.
by: Samara Gurgis Essa, et al.
Published: (2024-06-01) -
Maternal health risk factors dataset: Clinical parameters and insights from rural BangladeshMendeley Data
by: Mayen Uddin Mojumdar, et al.
Published: (2025-04-01) -
Predictive models for the surface roughness and subsurface damage depth of semiconductor materials in precision grinding
by: Shang Gao, et al.
Published: (2025-01-01)