Results 161 to 170 of about 4,002 (260)
Deep Learning-Based Ground-Penetrating Radar Inversion for Tree Roots in Heterogeneous Soil. [PDF]
Li X, Cheng X, Zhao Y, Xiang B, Zhang T.
europepmc +1 more source
ABSTRACT Colorado's geologic, pedologic, topographic, hydrological, and climatic contrasts create strong but under‐synthesized opportunities for sustainable agritourism. This review investigates how geodiversity, and the broader environmental heterogeneity within which it operates, can be used to diversify farm income, strengthen place‐based visitor ...
Bonface O. Manono
wiley +1 more source
Intelligent recognition of subsurface utilities and voids: A ground penetrating radar dataset for deep learning applications. [PDF]
Mojahid A +4 more
europepmc +1 more source
Propagation of ground penetrating radar waves in Chinese coals. [PDF]
Zhang D, Tang R, Wen H, Fan S.
europepmc +1 more source
This review establishes a mechanism‐guided framework for catalyst design in electrochemical, photocatalytic, and photoelectrochemical ammonia oxidation. By correlating catalyst structure, reaction mechanisms, catalytic performance, and device‐level architectures, it highlights rational engineering strategies and future directions toward efficient ...
Dong Hyun Heo +2 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]
Liu C, Han P, Kang J.
europepmc +1 more source
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 +3 more
wiley +1 more source
Investigating the Internal Deterioration of the Auriga Statue of Mozia Island, Sicily, through Ultrasonic and Ground-Penetrating Radar Studies. [PDF]
Capizzi P, Martorana R, Carollo A.
europepmc +1 more source
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 +2 more
wiley +1 more source

