Results 11 to 20 of about 299,387 (267)

Optimising Point Cloud to Wireframe Conversion for 3D City Modeling [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Urban planning increasingly relies on structured 3D city models for analysis and decision-making, but while point clouds capture rich detail, their unstructured nature complicates direct use in CityJSON-based workflows.
S. Soo Chin Yee   +4 more
doaj   +1 more source

Application of Virtual Reality Technology and Unsupervised Video Object Segmentation Algorithm in 3D Model Modeling

open access: yesAdvances in Mathematical Physics, 2022
3D modeling is the most basic technology to realize VR (virtual reality). VOS (video object segmentation) is a pixel-level task, which aims to segment the moving objects in each frame of the video.
Hui Yang, Qiuming Liu
doaj   +1 more source

Towards Extending CityGML for Property Valuation: Property Valuation ADE [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
This paper introduces Property Valuation Application Domain Extension (ADE) within CityGML 3.0, aiming to integrate relevant indoor and outdoor 3D variables (cost estimation, view quality, etc.) for accurate property valuation.
S. El Yamani   +8 more
doaj   +1 more source

Automated BIM generation using drawing recognition and line-text extraction

open access: yesJournal of Asian Architecture and Building Engineering, 2021
The number of building-information modeling (BIM)-applied construction projects has been increased with an expectation that it will transform the labor-intensive building industry into a knowledge-based one. The time and effort required for modeling vary
Juhee Rho, Hyun-Soo Lee, Moonseo Park
doaj   +1 more source

Automated identification and mapping of geological folds in cross sections

open access: yesOpen Geosciences, 2023
Cross sections carry information on the spatial distribution of rock strata and the development of geological structures, and it is an important data source for three-dimensional (3D) geological modeling.
Huang Jian-Chu   +4 more
doaj   +1 more source

Numerical shear of post-tensioned beams with inverted-U shaped reinforcements

open access: yesMagazine of Civil Engineering, 2022
Previous works verified that, compared to conventional stirrups reinforcements (or closed stirrups reinforcements), the inverted-U shaped reinforcements improve the performance of the flat slabs in terms of failure mode and load capacity.
Khatib Milad   +3 more
doaj   +1 more source

3D bioprinted glioma models

open access: yesProgress in Biomedical Engineering, 2022
Abstract Glioma is one of the most malignant types of cancer and most gliomas remain incurable. One of the hallmarks of glioma is its invasiveness. Furthermore, glioma cells tend to readily detach from the primary tumor and travel through the brain tissue, making complete tumor resection impossible in many cases ...
Defne Yigci   +6 more
openaire   +3 more sources

Re: Using Space-Based Investigations to Inform Cancer Research on Earth

open access: yesJournal of Urological Surgery, 2015
In the Universe, four main forces are effective. These are weak nuclear force, strong nuclear force, electromagnetic force and gravitational force. Gravity is the attractive force between all matter.
J.L. Becker, G.R. Souza
doaj   +1 more source

A biallelic variant in IQCE predisposed to cause non-syndromic post-axial polydactyly type A

open access: yesJournal of Biochemical and Clinical Genetics, 2023
Background: Polydactyly or hexadactyly is a familiar limb defect that either occurs as an isolated entity (non-syndromic) or is associated with severe (syndromic) morphological phenotypes.
Muhammad Bilal   +7 more
doaj   +1 more source

Using neural network for restoring the lost surface of skull bones [PDF]

open access: yesSaratov Medical Journal, 2023
Objective: To assess the sensitivity, specificity and accuracy of a digital algorithm based on convolutional neural networks used for restoring the lost surface of the skull bones. Materials and methods. The neural network was trained over 6,000 epochs
Mishinov, Sergey V.
doaj   +1 more source

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