Results 211 to 220 of about 51,831 (339)

High‐resolution flood probability mapping using generative machine learning with large‐scale synthetic precipitation and inundation data

open access: yesComputer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract High‐resolution flood probability maps are instrumental for assessing flood risk but are often limited by the availability of historical data. Additionally, producing simulated data needed for creating probabilistic flood maps using physics‐based models involves significant computation and time effort, which inhibit its feasibility. To address
Lipai Huang   +5 more
wiley   +1 more source

Mapping benthic habitats in Bohai Bay, China. [PDF]

open access: yesSci Rep
Yang L   +11 more
europepmc   +1 more source

3D data generation of manholes from single panoramic inspection images

open access: yesComputer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Infrastructure facilities require proper maintenance, including diagnosing structural durability and determining appropriate repair methods. Structural analysis is widely used to assess structural conditions, necessitating three‐dimensional (3D) data that accurately reflect the locations of deterioration.
Mizuki Tabata   +2 more
wiley   +1 more source

Adaptive feature expansion and fusion model for precast component segmentation

open access: yesComputer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract The assembly and production of sandwich panels for prefabricated components is crucial for the safety of modular construction. Although computer vision has been widely applied in production quality and safety monitoring, the large‐scale differences among components and numerous background interference factors in sandwich panel prefabricated ...
Ka‐Veng Yuen, Guanting Ye
wiley   +1 more source

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