To solve the problems of the traditional convolution optimization algorithm (COA), which are its slow convergence speed and likelihood of falling into local optima, a Gaussian mutation convolution ...

High-precision 3D point cloud data have various analyses and application use cases. This study aimed to achieve a more precise noise reduction of the raw 3D point cloud data of asphalt pavements ...

In an exciting development for quantum computing, researchers from the University of Chicago's Department of Computer Science, Pritzker School of Molecular Engineering, and Argonne National Laboratory ...