Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

Digital twins for automated material handling systems (AMHSs) of semiconductor and display fabrication industries suffer from parameter uncertainty and discrepancy. This leads to inaccurate ...

To manage increasingly complex manufacturing systems, involving material flows across numerous transporters, machines, and ...

Explore new calibration methods for automated material handling systems. Click to see how it transforms smart factories.

A new urban 3D reconstruction method enhances Tomographic Synthetic Aperture Radar (TomoSAR) imaging using geometric semantics. By incorporating ...

Bayesian reasoning provides a principled framework for updating beliefs based on new evidence, playing a pivotal role in understanding human cognitive processes.

Additional critical mineral process improvements for the Alberta Hydrometallurgical Facility Fortune Minerals Limited (TSX: FT) (OTCQB: FTMDF) (“ Fortune ” or the “ Company ”) (www.fortuneminerals.com ...

A random process called the Dirichlet process whose sample functions are almost surely probability measures has been proposed by Ferguson as an approach to analyzing nonparametric problems from a ...

A flexible Bayesian method is suggested for pair potential estimation with a high-dimensional parameter space. The method is based on a Bayesian smoothing technique, commonly applied in statistical ...