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Rakeeb Jaufer
Rakeeb Jaufer
Researcher University of Sheffield
Verified email at cerema.fr
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Cited by
Cited by
Year
A preliminary numerical study to compare the physical method and machine learning methods applied to GPR data for underground utility network characterization
RM Jaufer, A Ihamouten, Y Goyat, SS Todkar, D Guilbert, A Assaf, ...
Remote Sensing 14 (4), 1047, 2022
72022
Deep learning based automatic hyperbola detection on GPR data for buried utility pipes mapping
R Jaufer, A Ihamouten, D Guilbert, S Todkar, T Yaram, X Derobert
2021 11th International Workshop on Advanced Ground Penetrating Radar …, 2021
52021
Ray-based method vs. SVM for the inversion of embedded cylindrical pipe’s parameters from GPR data: Numerical comparative study
R Jaufer, SS Todkar, A Ihamouten, Y Goyat, D Guilbert, A Caucheteux, ...
18th International Conference on Ground Penetrating Radar, 356-359, 2020
52020
Numerical parametric study to classify and estimate pavement characteristics using GPR and machine learning methods
G Andreoli, A Ihamouten, V Buliuk, C Fauchard, R Jaufer, X Dérobert
1st International Data Science for Pavements Symposium, 2022
22022
The use of machine learning method to classify electromagnetic characteristics of pavement tack coat
G Andreoli, A Ihamouten, R Jaufer, S Savant, D Guilbert, ML Nguyen, ...
19th International Conference on Ground Penetrating Radar, 43-46, 2022
12022
Detection of anomalies in bridge waterproof membrane using artificial intelligence applied to GPR
V Buliuk, C Heinkele, A Ihamouten, R Jaufer, SS Todkar, G Andreoli, ...
Data Science in Pavement Symposium, 2022
12022
Deep convolutional neural network for estimation of depth and radius from GPR raw signals
R Jaufer, C Heinkele, N Loubat, D Guilbert, A Ihamouten
NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring …, 2021
12021
Use of deep lerning on GPR data for parameter inversion of buried cylindrical pipes
R Jaufer, A Ihamouten, SS Todkar, F Bosc, Y Goyat, X Dérobert
NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring …, 2021
12021
3D mapping of underground utility networks using ultra-wideband multi antenna array step frequency radar
RM Jaufer
Nantes Université, 2022
2022
Analyse de données GPR (Ground Penetrating Radar) par machine learning: trois projets sur les infrastructures de transports
G Andreoli, P Foucher, D Guilbert, C Fauchard, C Heinkelé, R Jaufer
Journée de la recherche du Cerema 2022-Quelles recherches pour le climat et …, 2022
2022
Deep learning based real-time automatic hyperbola detection on GPR data for buried utility network mapping
RM Jaufer, A Ihamouten, D Guilbert, T Chateau, X Dérobert
1st Data Science in Pavement Symposium, 2022
2022
Évaluation intelligente, à grand rendement et non destructive des caractéristiques de collage dans les chaussées
G Andreoli, A Ihamouten, R Jaufer, S Todkar, V Buliuk, X Dérobert
Ferec, 2021
2021
Numerical modeling using gprMax to identify a subsurface tack coat for SVM classification
G Andreoli, A Ihamouten, C Fauchard, R Jaufer, SS Todkar, D Guilbert, ...
NSG2021 2nd Conference on Geophysics for Infrastructure Planning, Monitoring …, 2021
2021
Utilisation de l’intelligence artificielle pour la cartographie électromagnétique des anomalies des chapes d’étanchéité dans les ouvrages
V Buliuk, A Ihamouten, RM Jaufer, G Andreoli, C Heinkelé, JM Simonin
Revue Générale des Routes et de l'Aménagement, 2021
2021
Détection et classification des réseaux enterrés par techniques électromagnétiques hybrides
A Ihamouten, RM Jaufer, X Dérobert, D Guilbert, T Chateau
Revue Générale des Routes et de l'Aménagement, 2021
2021
SVM sensitivity analysis on the influence of the top pavement layer on thin debonding detection using numerical GPR data
SS Todkar, R Jaufer, V Baltazart, C Fauchard, A Ihamouten
18th International Conference on Ground Penetrating Radar, 396-399, 2020
2020
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