This visualization shows moderately large pressure fluctuations within a 35-trillion-grid-point turbulence simulation, ...
Abstract: To address the challenges in pattern mining and understanding of traffic flow data with high dimensionality, non-linearity, and strong spatio-temporal correlations, this paper proposes an ...
Ordinary matter, when cooled, transitions from a gas into a liquid. Cool it further still, and it freezes into a solid. Quantum matter, however, can behave very differently. In the early 20th century, ...
repeater/ ├── .cursorrules # Cursor IDE rules and coding standards ├── environment.yml # Conda environment specification ├── requirements.txt # Python dependencies (if not using conda) ├── README.md # ...
Abstract: Smoke rendering is a standard technique for flow visualization. Most approaches are based on a volumetric, par ticle based, or image based representation of the smoke. This paper introduces ...
A reinforcement learning framework using Deep Q-Learning to optimize traffic signal timing at intersections. This system uses SUMO (Simulation of Urban MObility) to simulate traffic flow and a neural ...
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