From its core to the niche: Insights from GPR applications

F Lombardi, F Podd, M Solla - Remote Sensing, 2022 - mdpi.com
Thanks to its non-destructive, high-resolution imaging possibilities and its sensitivity to both
conductive and dielectric subsurface structures, Ground-Penetrating Radar (GPR) has …

[HTML][HTML] Evaluation procedure for damage detection by a self-sensing cement composite

MJ Roshan, M Abedi, R Fangueiro, AG Correia… - Measurement, 2024 - Elsevier
Health and safety are relevant in transportation infrastructures. Most health evaluations are
performed by spot measurements using conventional transducers. This study aims to …

[PDF][PDF] A comparative study on AI-based algorithms for cost prediction in pharmaceutical transport logistics

F Farchi, C Farchi, B Touzi… - Acadlore Trans. Mach …, 2023 - library.acadlore.com
Pharmaceutical transport logistics, especially in humanitarian and hospital contexts, is
becoming increasingly essential with a growing need to monitor associated costs. In …

FriC-PM: Machine Learning-based road surface friction coefficient predictive model using intelligent sensor data

M Rasol, F Schmidt, S Ientile - Construction and Building Materials, 2023 - Elsevier
Providing a robust traffic management system is a given for road authorities today, for safer
mobility and reliable day-to-day operations. Therefore, to improve traffic management …

[HTML][HTML] Mapping hazardous locations on a road network due to extreme gross vehicle weights

MA Mendoza-Lugo, O Morales-Nápoles - Reliability Engineering & System …, 2024 - Elsevier
This study investigates the application of hazard maps in identifying critical locations
associated with extreme vehicle load events. Examining extreme vehicle loads can offer …

Infrastructure damage assessment via machine learning approaches: a systematic review

M Abedi, J Shayanfar, K Al-Jabri - Asian Journal of Civil Engineering, 2023 - Springer
Monitoring civil infrastructures to detect early damage and extract the data required for urban
management can prevent sudden infrastructure collapse, increase infrastructure …

[HTML][HTML] Management of cavities under flexible pavement road network in metropolitan area: Detection, evaluation, and rehabilitation

S Lee, JJ Park, BH Cho - Developments in the Built Environment, 2022 - Elsevier
This study evaluated a management program of cavities under flexible pavement road
network in Seoul Metropolitan City. Consequently, directions for improvement were …

[HTML][HTML] Research on distresses detection, evaluation and maintenance decision-making for highway pavement in reconstruction and expansion project

J Li, C Liao, C Xiong, C Chen, Z Wang, C Wu… - Case Studies in …, 2023 - Elsevier
Artificial walking survey, ground penetrating radar (GPR) and falling weight deflectometer
(FWD) were used to test the actual condition of the highway pavement in reconstruction and …

3D ground penetrating radar cavity identification algorithm for urban roads using transfer learning

F Li, F Yang, X Qiao, W Xing, C Zhou… - … Science and Technology, 2023 - iopscience.iop.org
Abstract 3D ground penetrating radar (GPR) is the main method for the detection of
underground cavities in urban roads. The number of road cavity samples detected by 3D …

DL-aided underground cavity morphology recognition based on 3D GPR data

F Hou, X Liu, X Fan, Y Guo - Mathematics, 2022 - mdpi.com
Cavity under urban roads has increasingly become a huge threat to traffic safety. This paper
aims to study cavity morphology characteristics and proposes a deep learning (DL)-based …