Reinforcement learning (RL) is a way to optimize strategies by maximizing returned reward through interaction with the environment. It makes optimization problems only related to state-action pairs, ...
Tandem welding is extensively used for welding large structures, such as ships and plants, for increased welding speed and volume. Seam tracking is essential because of a large amount of thermal ...
Firstly, the authors briefly describe two models for tracking the maneuvering trajectories of non-cooperative space targets: the relative dynamics model and the indirect measurement model. In the ...
A simple camera system paired with a sophisticated image-processing algorithm can achieve faster and more accurate reconstructions of particle flow. By replacing a complex hardware setup with simple ...
Researchers have developed a quantum particle swarm optimization algorithm for maximum power point tracking that reportedly generates 3.33% more power in higher temperature tests and 0.89% more power ...
Soltec has developed a new bifacial tracking algorithm to determine the optimal angle for solar trackers to maximize the production of specific bifacial modules in solar plants. The algorithm ...
Modern IRST (infrared sighting and tracking) sensors allow for the efficient tracking of an enemy target (in Italy, we have the excellent Skyward-G, developed by Selex Galileo). However, the problem ...
Vrgineers, Inc., in partnership with ManoMotion, has developed an AI hand-tracking algorithm designed to enhance the immersive experience in pilot training scenarios within virtual and mixed-reality ...
Observing the 3D motion of particles in flow is important in studies of aerodynamics, fluid flow and molecular dynamics. Conventionally, this is performed using a complicated arrangement of multiple ...
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