Abstract: This brief proposes a neural network-enhanced digital background calibration scheme for calibrating the linear and the third-order nonlinear gain errors of the residue amplifier (RA) in ...

Reliable estimation of Chlorophyll-a concentration (Chl-a) from remotely sensed data is essential for monitoring the health of aquatic ecosystems and supporting environmental policy decisions (El ...

Abstract: This paper proposes a physics-informed neural networks (PINNs) algorithm for simulating semiconductor devices. It is built on drift-diffusion model (DDM) framework and aiming at describing ...