Official github page of UCF SST CitySim Dataset
Simulation-based Digital Twin for Production and Logistics Material Flows
DigitalTwinSocCyberrange is a research project by the University of Regensburg and the Ionian University. This prototype aims to provide training for SOC analysts in a highly realistic scenario making use of the simulation component of the digital twin of an industrial filling plant.
Guideline for modelling roads and the streetspace within semantic 3D city models using the international OGC standard City Geography Markup Language (CityGML) version 3.0.
Digital Twin Reinforcement Learning algorithm for Simio
Geometrical Operational Roadway Blueprint with Integrated Twin is a unified framework that integrates real-time lane detection, federated learning, and digital twin synchronization.
This screenshot illustrates the installation process for setting up Lang2Pose. Follow these steps to ensure your environment is correctly configured before running the system.
This is the code I wrote in the first year of my master's degree. It shows a secondary development simulation decision support system based on SUMO simulation. Any government officials and planners can evaluate traffic operation level and land use level by adjusting policies
Digital Twin implementations with Co-simulation and RoboStar technologies
A discrete-event simulator and digital twinning platform for cloud native service chains
Digital Twin Deep Reinforcement Learning for Simio
Software to automatically compose digital twins in Industry 4.0
Dockerized environment bundling the two early earthquake warning (EEW) workflows from DTC-E6 in DT-GEO, integrating SeisComP FinDer, ShakeMap, and PyFinder. Supports local waveform playbacks for fast testing and collects all outputs on the host for easy inspection.
Streamline industrial digital twin deployment using AWS IoT TwinMaker and SiteWise. This toolkit provides automated scripts and a FastAPI interface to quickly set up workspaces, define asset models, and synchronize real-time data.
Stochastic F1 strategy simulator (Mesa/SimPy) modeling energy, tyres, and race events for the TrackShift Innovation Challenge 2025.
Reproduce / approximate the functional behavior of small digital sequential circuits (VHDL / schematic designs) using neural networks trained on input–output traces.
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