A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Background: Target identification is important for modern drug discovery. With the advances in the development of molecular docking, potential binding proteins may be discovered b...
Typically, data collected by a spacecraft is downlinked to Earth and pre-processed before any analysis is performed. We have developed classifiers that can be used onboard a space...
Ashley Davies, Benjamin Cichy, Dominic Mazzoni, Ng...
Designing and constructing Real-Time Distributed Industrial Vision Systems (RT-DIVS) from scratch is very complicated task. RT-DIVS has Conflicting requirements such as reasonable...
Recently, several algorithms have been proposed for using neural networks in dynamic analysis of small structural systems, and also constructing adaptive material modeling subrout...