Results 181 to 190 of about 2,075,824 (274)

Study on the Attribute Characteristics of Road Cracks Detected by Ground-Penetrating Radar. [PDF]

Sensors (Basel)
Guo S, Yu M, Xu Z, Yue G, Cai W, Tian P.
europepmc   +1 more source

Hierarchical Interfacial Engineering of Boehmite‐Coated Separators via Silane Functionalization and Electron‐Beam Irradiation

Small, EarlyView.
A hierarchically reinforced ceramic–coated separator is developed by integrating APTES‐functionalized boehmite nanoparticles with EB‐induced radical formation and subsequent coupling. This synergistic interface engineering enables significantly improved mechanical integrity and interfacial stability.
Md Amir Sohel, Sungwoo Kim, Seunguk Cheon, Sung Oh Cho   +3 more
wiley   +1 more source

Deep Learning-Based Ground-Penetrating Radar Inversion for Tree Roots in Heterogeneous Soil. [PDF]

Sensors (Basel)
Li X, Cheng X, Zhao Y, Xiang B, Zhang T.
europepmc   +1 more source

Propagation of ground penetrating radar waves in Chinese coals. [PDF]

PLoS One, 2020
Zhang D, Tang R, Wen H, Fan S.
europepmc   +1 more source

Proximity Proteomics Maps Candidate Cellular Uptake Pathways for Cell‐Derived Nanovesicles

Small Methods, EarlyView.
TurboID‐based dual‐sided proteomics compares mechanically generated cell‐derived nanovesicles with naturally secreted small extracellular vesicles. Vesicle proteomes define candidate interaction signatures, while recipient‐cell proximity labelling identifies exposure‐associated proteins.
Eisuke Kanao, Ryosuke Mizuta, Saki Tarao, Yukika Hara, Yuka Li, Kazunari Akiyoshi, Yasushi Ishihama, Koshi Imami, Yoshihiro Sasaki   +8 more
wiley   +1 more source

Intelligent recognition of subsurface utilities and voids: A ground penetrating radar dataset for deep learning applications. [PDF]

Data Brief
Mojahid A, Ouai DE, Amraoui KE, El-Hami K, Aitbenamer H.   +4 more
europepmc   +1 more source

Ground penetrating radar

, 1997
S Robinson, M Burgess, S Wolfe
openaire   +1 more source

AI‐Powered GPR Characterization of Peatland Underground Cavity Induced by Smoldering Wildfire: A Laboratory Proof‐of‐Concept

Safety Science and Technology, EarlyView.
We present an AI‐assisted ground‐penetrating radar framework to noninvasively detect and quantify smoldering wildfire‐induced subsurface cavities in peatlands. A ResNet model accurately predicts cavity geometry from GPR images, enabling improved assessment of underground fire damage and hazards.
Zifan Zhang, Zilong Wang, Yichao Zhang, Yanghan Su, Shaorun Lin, Xinyan Huang   +5 more
wiley   +1 more source

Integrating short-time linear canonical transform and joint space-time-frequency analysis for advanced representation of subsurface information in ground penetrating radar. [PDF]

Sci Rep
Liu C, Han P, Kang J.
europepmc   +1 more source

Vision language models for bridge inspections: A review of applications in image‐based damage documentation

Structural Concrete, EarlyView.
Abstract Automating bridge inspections requires more than detecting individual damage instances. It demands systems capable of describing, contextualizing, and interpreting damage in an inspection‐relevant manner. Conventional computer vision approaches, such as object detection and segmentation, primarily address visual recognition tasks and are ...
Rona Firdes Çelik, Ulas Bagci, Sylvia Kessler   +2 more
wiley   +1 more source