Results 61 to 70 of about 7,734,831 (297)

Analysis of accuracy factor and pre-processing methodology of image compensation for 3D reconstruction using 2D image obtained from unmanned aerial vehicle (UAV)

Journal of Asian Architecture and Building Engineering, 2022
Unmanned aerial vehicles (UAVs) are widely utilized in civil engineering due to the ease of use of UAVs in aerial monitoring tasks. A UAV-based mapping system is efficient and allows for a higher frequency of monitoring.
Daeyoon Moon, Kyuhyup Lee, Hyunglyul Ko, Soonwook Kwon, Seojoon Lee, Jinwoo Song   +5 more
doaj   +1 more source

Automated Generation of Room Usage Semantics from Point Cloud Data

ISPRS International Journal of Geo-Information, 2023
Room usage semantics in models of large indoor environments such as public buildings and business complex are critical in many practical applications, such as health and safety regulations, compliance, and emergency response.
Guoray Cai, Yimu Pan
doaj   +1 more source

A generic point error model for TLS derived point clouds

SPIE Proceedings, 2017
This work aims at developing a generic and anisotropic point error model, which is capable of computing magnitude and direction of a priori random errors, described in the form of error ellipsoids for each individual point of the cloud. The direct TLS observations are the range (ρ), vertical (α) and horizontal (θ) angles, each of which is in fact ...
Ozendi, Mustafa, Akca, Devrim, Topan, Huseyin   +2 more
openaire   +3 more sources

Skin texture-enhancement for automated 3D point cloud generation in charcot-marie-tooth disease application

, 2011
Charcot-Marie-Tooth (CMT) is a hereditary neurological disorder which causes muscle weakness and atrophy in limbs. Assistive devices are required by CMT sufferers to enhance their mobility. To build assistive-devices for these sufferers, it is necessary
Albert K Chong, Jasim Ahmed, Duaa Alshadli, Kevin McDougall, Ali AL-Baghdadi, Alshadli, Duaa, Chong, Albert K., McDougall, Kevin, AL-Baghdadi, Jasim Ahmed Ali   +8 more
core   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

Disease Course After Anti‐CD20 Discontinuation in Secondary Progressive Multiple Sclerosis—A Multicenter Long‐Term Longitudinal Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To describe long‐term outcomes after anti‐CD20 discontinuation in selected patients with secondary progressive multiple sclerosis (SPMS) who remained without subsequent disease‐modifying therapy (DMT). Methods We retrospectively analyzed data from four centers in Austria and Switzerland.
Ferdinand Otto, Dariia Kliushnikova, Richard Friedrich Radlberger, Sinan Yasaroglu, Tobias Moser, Andrea Harrer, Kitty Kratzer, Wolfgang Hitzl, Christiane Gradl, Martin Schmidauer, Patrick Roth, Harald Hegen, Peter Wipfler   +12 more
wiley   +1 more source

Point-PNG: Conditional Pseudo-Negatives Generation for Point Cloud Pre-Training

IEEE Access
We propose Point-PNG, a novel self-supervised learning framework that generates conditional pseudo-negatives in the latent space to learn point cloud representations that are both discriminative and transformation-sensitive.
Sutharsan Mahendren, Saimunur Rahman, Piotr Koniusz, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam   +6 more
doaj   +1 more source

3D Point Cloud Completion Method Based on Building Contour Constraint Diffusion Probability Model

Applied Sciences, 2023
Building point cloud completion is the process of reconstructing missing parts of a building’s point cloud, which have been affected by external factors during data collection, to restore the original geometric shape of the building.
Bo Ye, Han Wang, Jingwen Li, Jianwu Jiang, Yanling Lu, Ertao Gao, Tao Yue   +6 more
doaj   +1 more source

Safety and Efficacy of GLP‐1 Receptor Agonists in Adults With Epilepsy, Obesity, and Type 2 Diabetes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Managing obesity in patients with epilepsy is complicated by the weight‐gaining properties of essential antiseizure medications (ASMs) such as valproate and pregabalin. We evaluated the safety and efficacy of initiating glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) in this population.
Hyoshin Son, Inyoung Hwang, Sang Won Lee, Yun Kim   +3 more
wiley   +1 more source

EVALUATING THE POTENTIAL OF IMAGING ROVER FOR AUTOMATIC POINT CLOUD GENERATION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
The paper presents a phase of an on-going interdisciplinary research concerning the medieval site of Casertavecchia (Italy). The project aims to develop a multi-technique approach for the semantic - enriched 3D modeling starting from the automatic ...
V. Cera, M. Campi
doaj   +1 more source