Zobrazeno 1 - 10
of 428
pro vyhledávání: '"Chen, Guoning"'
Autor:
Phan, Nguyen, Chen, Guoning
Integral curves have been widely used to represent and analyze various vector fields. In this paper, we propose a Curve Segment Neighborhood Graph (CSNG) to capture the relationships between neighboring curve segments. This graph representation enabl
Externí odkaz:
http://arxiv.org/abs/2410.05290
Vortices and their analysis play a critical role in the understanding of complex phenomena in turbulent flows. Traditional vortex extraction methods, notably region-based techniques, often overlook the entanglement phenomenon, resulting in the inclus
Externí odkaz:
http://arxiv.org/abs/2407.03384
Autor:
Niger, Meher, Goharbavang, Helya, Ahn, Taeyong, Alley, Emily K., Wythe, Joshua D., Chen, Guoning, Mayerich, David
Microvascular networks are challenging to model because these structures are currently near the diffraction limit for most advanced three-dimensional imaging modalities, including confocal and light sheet microscopy. This makes semantic segmentation
Externí odkaz:
http://arxiv.org/abs/2404.02813
Hex-dominant mesh generation has received significant attention in recent research due to its superior robustness compared to pure hex-mesh generation techniques. In this work, we introduce the first structure for analyzing hex-dominant meshes. This
Externí odkaz:
http://arxiv.org/abs/2403.00300
Time-series data originate from various applications that describe specific observations or quantities of interest over time. Their analysis often involves the comparison across different time-series data sequences, which in turn requires the alignme
Externí odkaz:
http://arxiv.org/abs/2402.08943
Autor:
Si, Lei, Chen, Guoning
In this paper, we introduce a new 3D hex mesh visual analysis system that emphasizes poor-quality areas with an aggregated glyph, highlights overlapping elements, and provides detailed boundary error inspection in three forms. By supporting multi-lev
Externí odkaz:
http://arxiv.org/abs/2308.12158
Cloud computing is one of the most used distributed systems for data processing and data storage. Due to the continuous increase in the size of the data processed by cloud computing, scheduling multiple tasks to maintain efficiency while reducing idl
Externí odkaz:
http://arxiv.org/abs/2308.11782
Hairpin vortices are one of the most important vortical structures in turbulent flows. Extracting and characterizing hairpin vortices provides useful insight into many behaviors in turbulent flows. However, hairpin vortices have complex configuration
Externí odkaz:
http://arxiv.org/abs/2308.06283
Autor:
Chen, Guoning, Zhang, Shuxian, Wang, Xiaofei, Fan, Xiaoxuan, Wilson, Gidion, Sa, Yuping, Ma, Xueqin
Publikováno v:
In Biosensors and Bioelectronics 1 October 2024 261
Autor:
Wang, Xiaofei, Han, Jili, Zhang, Shuxian, Liu, Keshuai, Fan, Xiaoxuan, Bai, Changcai, Chen, Guoning
Publikováno v:
In Journal of Chromatography A 13 September 2024 1732