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 ...
Abstract: This article proposes a sampled-data fault-tolerant bipartite formation control (SD-FTBFC) algorithm that incorporates the sampling period and historical input and output data for nonlinear ...
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 ...
This repository contains an experimental PyTorch implementation exploring the NoProp algorithm, presented in the paper "NOPROP: TRAINING NEURAL NETWORKS WITHOUT BACK-PROPAGATION OR FORWARD-PROPAGATION ...
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