Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...
Abstract: In recent years, physics-informed neural networks (PINNs) have developed significantly as a deep learning technology. In analogy to the selection of grid cells in traditional numerical ...
Abstract: To address the shortcomings of the classical RRT (Rapidly exploring Range Tree) path planning algorithm, such as long planning time and path curvature in some narrow and complex environments ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results