most citedExtract and Characterize Hairpin Vortices in Turbulent Flows

10 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2024

GPU-Accelerated RSF Level Set Evolution for Large-Scale Microvascular Segmentation

Meher Niger, Helya Goharbavang, Taeyong Ahn +4

Microvascular networks are challenging to model because these structures are currently near the diffraction limit for most advanced three-dimensional imaging modalities, including…

cs.GR20241 cited

Hybrid Base Complex: Extract and Visualize Structure of Hex-dominant Meshes

Lei Si, Haowei Cao, Guoning Chen

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…

cs.LG20241 cited

Evaluating DTW Measures via a Synthesis Framework for Time-Series Data

Kishansingh Rajput, Duong Binh Nguyen, Guoning Chen

Time-series data originate from various applications that describe specific observations or quantities of interest over time. Their analysis often involves the comparison across di…

cs.DC20232 cited

Resource Allocation in Cloud Computing Using Genetic Algorithm and Neural Network

Mahdi Manavi, Yunpeng Zhang, Guoning Chen

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 computin…

cs.HC202310 cited

Extract and Characterize Hairpin Vortices in Turbulent Flows

Adeel Zafar, Di Yang, Guoning Chen

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…