Visual Analysis of Displacement Processes in Porous Media using Spatio-Temporal Flow Graphs

A Straub, N Karadimitriou, G Reina… - … on Visualization and …, 2023 - ieeexplore.ieee.org
We developed a new approach comprised of different visualizations for the comparative
spatio-temporal analysis of displacement processes in porous media. We aim to analyze …

Visual Analysis of Two‐Phase Flow Displacement Processes in Porous Media

S Frey, S Scheller, N Karadimitriou… - Computer Graphics …, 2022 - Wiley Online Library
We developed a new visualization approach to gain a better understanding of the
displacement of one fluid phase by another in porous media. This is based on a recent …

Local latent representation based on geometric convolution for particle data feature exploration

H Li, HW Shen - IEEE Transactions on Visualization and …, 2022 - ieeexplore.ieee.org
Feature related particle data analysis plays an important role in many scientific applications
such as fluid simulations, cosmology simulations and molecular dynamics. Compared to …

Efficient Visualization for Machine-Learning-Represented Scientific Data

H Li - 2024 - search.proquest.com
Recent progress in high-performance computing now allows researchers to run extremely
high-resolution computational models, simulating detailed physical phenomena. Yet …

[PDF][PDF] Novel extraction and tracking method used in multiplelevel for computer vision

EW Ghindawi, SA Abdulateef - Indonesian Journal of Electrical …, 2023 - academia.edu
Various scientific applications, including cosmological simulation, fluid simulation, and
molecular dynamics, depend heavily on the analysis of particle data. Although there are …

[图书][B] Scalable Extraction and Visualization of Scientific Features with Load-Balanced Parallelism

J Xu - 2021 - search.proquest.com
Extracting and visualizing features from scientific data can help scientists derive valuable
insights. An extraction and visualization pipeline usually includes three steps:(1) scientific …