The U.K.'s ARIA wants to create a 'production facility' where AI will design and test new control algorithms for power grids, ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

It’s not that hard to do your exploratory data analysis and then have the computer try all the reasonable machine learning algorithms to ... robot control, time series prediction and anomaly ...

Based on the advantages of the artificial neural network control algorithm, this paper designs ... The control strategy designed by the analysis is verified under different operating conditions. In ...

This article will unify the mathematical models and active damping control algorithms for these two systems. It is found that the mathematical models and control structures are fundamentally ...

(2018) is adopted. The objective is to identify a feasible set of actuation force locations to control the structure through an optimal deformation path obtained by motion design. This inverse greedy ...