Abstract: Fine solving time step is commonly required in the simulation of grid-tied inverters due to the fast inner-loop control and high-frequency switching behavior. However, the dynamics of the ...

Abstract: We present a novel acoustic camera simulator that generates realistic sonar images by incorporating recursive ray tracing and sonar artifact modeling and provides various ground truth labels ...

Computational chemistry describes the use of computer modelling and simulation – including ab initio approaches based on quantum chemistry, and empirical approaches – to study the structures and ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...