FROM ECG SIGNALS TO IMAGES: A TRANSFORMATION BASED APPROACH FOR DEEP LEARNING




Stochastic Trajectory Generation Using Particle Swarm Optimization for Quadrotor Unmanned Aerial Vehicles (UAVs)

The aim of this paper is to provide a realistic stochastic trajectory generation method for unmanned aerial vehicles that offers a tool for the emulation of trajectories in typical flight scenarios.Three scenarios are defined in this paper.The trajectories for these scenarios are implemented with quintic B-splines that Loaf Pan grant smoothness in

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