Pages that link to "Item:Q2665029"
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The following pages link to \textit{The game of drones:} rapid agent-based machine-learning models for multi-UAV path planning (Q2665029):
Displaying 11 items.
- Hamiltonian dynamics and control of a joint autonomous land-air operation (Q333140) (← links)
- Cooperative and geometric learning algorithm (CGLA) for path planning of UAVs with limited information (Q462353) (← links)
- A digital twin framework for machine learning optimization of aerial fire fighting and pilot safety (Q2020726) (← links)
- Machine-learning and digital-twins for rapid evaluation and design of injected vaccine immune-system responses (Q2083207) (← links)
- A digital-twin and machine-learning framework for precise heat and energy management of data-centers (Q2150249) (← links)
- A continuous model for the simulation of manufacturing swarm robotics (Q2150264) (← links)
- An agent-based computational framework for simulation of global pandemic and social response on \textit{planet X} (Q2221742) (← links)
- A machine-learning framework for rapid adaptive digital-twin based fire-propagation simulation in complex environments (Q2309389) (← links)
- A digital-twin and machine-learning framework for the design of multiobjective agrophotovoltaic solar farms (Q2666101) (← links)
- Machine-learning a perfect bending soccer goal shot (Q6096495) (← links)
- A machine-learning enabled digital-twin framework for the rapid design of satellite constellations for ``Planet-X'' (Q6661928) (← links)
