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Found 3 papers, 1 papers with code
Scan-to-BIM for As-built Roads: Automatic Road Digital Twinning from Semantically Labeled Point Cloud Data
Creating geometric digital twins (gDT) for as-built roads still faces many challenges, such as low automation level and accuracy, limited asset types and shapes, and reliance on engineering experience.
Scene restoration from scaffold occlusion using deep learning-based methods
The occlusion issues of computer vision (CV) applications in construction have attracted significant attention, especially those caused by the wide-coverage, crisscrossed, and immovable scaffold.
Machine Learning and Algebraic Approaches towards Complete Matter Spectra in 4d F-theory
To quantify jumps of these cohomologies, we first generate 1. 8 million pairs of line bundles and curves embedded in $dP_3$, for which we compute the cohomologies.
High Energy Physics - Theory Algebraic Geometry
