Results 41 to 50 of about 140,274 (260)

Adaptive Clustering for Point Cloud

Sensors
The point cloud segmentation method plays an important role in practical applications, such as remote sensing, mobile robots, and 3D modeling. However, there are still some limitations to the current point cloud data segmentation method when applied to ...
Zitao Lin, Chuanli Kang, Siyi Wu, Xuanhao Li, Lei Cai, Dan Zhang, Shiwei Wang   +6 more
doaj   +1 more source

Power-Line Extraction Method for UAV Point Cloud Based on Region Growing Algorithm

南方能源建设, 2023
[Introduction] Since the power line has the characteristics of long transmission distance and a complex spatial environment, the UAV LiDAR point cloud technology can completely and efficiently obtain the geometric information of the power line and its ...
Xingyi LI, Wei WU, Zhiyao ZHAO
doaj   +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

Three-Dimensional Point Cloud Applications, Datasets, and Compression Methodologies for Remote Sensing: A Meta-Survey

Sensors
This meta-survey provides a comprehensive review of 3D point cloud (PC) applications in remote sensing (RS), essential datasets available for research and development purposes, and state-of-the-art point cloud compression methods.
Emil Dumic, Luís A. da Silva Cruz
doaj   +1 more source

An Advanced Vehicle Body Part Inspection Scheme Based on Scattered Point Cloud Data

Applied Sciences, 2020
To further improve the efficiency and accuracy of the vehicle part inspection process, this paper designs an accurate and efficient vehicle body part inspection framework based on scattered point cloud data (PCD).
Yang Yang, Ming Li, Xie Ma
doaj   +1 more source

CLASSIFICATION OF BIG POINT CLOUD DATA USING CLOUD COMPUTING [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Point cloud data plays an significant role in various geospatial applications as it conveys plentiful information which can be used for different types of analysis.
K. Liu, J. Boehm
doaj   +1 more source

Adenosine triphosphate as a modulator of protein interactions and stability

FEBS Open Bio, EarlyView.
ATP is best known as the cell's energy currency, but it also shapes how proteins fold, interact, aggregate and form biomolecular condensates. This review explains the emerging physical principles behind these effects, including weak binding to charged protein regions, magnesium‐dependent behaviour and concentration‐dependent control of protein ...
Shuyuan Tan, Robin Curtis
wiley   +1 more source

Point Cloud in the Air

IEEE Communications Magazine
Acquisition and processing of point clouds (PCs) is a crucial enabler for many emerging applications reliant on 3D spatial data, such as robot navigation, autonomous vehicles, and augmented reality. In most scenarios, PCs acquired by remote sensors must be transmitted to an edge server for fusion, segmentation, or inference.
Yulin Shao, Chenghong Bian, Li Yang, Qianqian Yang 0002, Zhaoyang Zhang 0001, Deniz Gündüz   +5 more
openaire   +2 more sources

Validity of a Wearable Digital Insole for Assessing Gait ON and OFF in Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Gait impairment is a distinctive symptom of Parkinson's disease that negatively impact mobility. We assessed the validity of wearable digital insoles against a validated reference gait analysis system for measuring select gait characteristics in patients with Parkinson's disease. Methods A comparative analysis between digital insoles
Deborah A. Hall, Kimberly Kwei, Rolando J. Acosta, Bharatkumar Koyani, Erin Robertson, Pratyush Rai, Roland Barge, Emily Timm, Nicollette L. Purcell, Natasha Desai, Dhanesh Patel, Ana‐Maria Visoiu‐Knapp, Samuel Stuart, Rinol Alaj, Matthew F. Wipperman, Oren Levy, Joan A. O'Keefe   +16 more
wiley   +1 more source

Deep Learning Point Cloud Odometry

U.Porto Journal of Engineering, 2021
Achieving persistent and reliable autonomy for mobile robots in challenging field mission scenarios is a long-time quest for the Robotics research community. Deep learning-based LIDAR odometry is attracting increasing research interest as a technological
Bernardo Teixeira, Hugo Silva
doaj   +1 more source