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Visualization of Neural Network Predictions for Weather Forecasting
(The Eurographics Association, 2017)
Recurrent neural networks are prime candidates for learning relationships and evolutions in multi-dimensional time series data. The performance of such a network is judged by the loss function, which is aggregated into a ...
A View-Dependent and Inter-Frame Coherent Visualization of Integral Lines using Screen Contribution
(The Eurographics Association, 2011)
In vector field visualization, integral lines like stream, path, or streak lines are often used to examine the behavior of steady and unsteady flows. In 3D, however, visualizing integral lines is problematic since the ...
Parameter Space Comparison of Inertial Particle Models
(The Eurographics Association, 2018)
In many meteorological and engineering problems, the motion of finite-sized objects of non-zero mass plays a crucial role, such as in air pollution, desertification, stirring of dust during helicopter navigation, or droplets ...
Singularities of the Inertial Flow Map Gradient
(The Eurographics Association, 2016)
Inertial particles are finite-sized objects that are carried by flows, for example sand particles in air. In contrast to massless tracer particles, the trajectories of inertial particles can intersect in space-time. When ...
Trajectory Density Projection for Vector Field Visualization
(The Eurographics Association, 2013)
Trajectory visualization is an important tool to capture intrinsic characteristics of vector fields. However, often this class of geometric visualization suffers from visual clutter due to the number of curves that occlude ...