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This paper presents an interactive technique for the dense texture-based visualization of unsteady 3D flow, taking into account issues of computational efficiency and visual perception. High ...

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

This article presents a particle-based visualization approach for finite-time analysis of the connectivity of fluid portions in multiphase flow, i.e., the evolution of the droplets in volume of fluid ...

Evaluation Confusion matrix visualization in the notebook. Classification report (precision, recall, F1 per class). Per-class accuracy printed; goal: ≥ 75% per class, ≥ 80% overall accuracy, ≥ 80% ...

(C) Confusion matrix visualization of the deep learning model and main performance metrics. “Epoch” denotes the number of training iterations. “Accuracy” is the final accuracy, “Kappa” is the ...