Researchers in Australia have developed a simplified residual network-based architecture method to filter out noise from electroluminescence images of PV modules. The proposed technique reportedly ...

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...

Abstract: Industrial process data are usually affected by random and gross errors leading to deviation from the true value and violation of process constraints. Traditional data reconciliation methods ...

To explore the joint learnability of datasets collected from different tactile sensors, we design a dual autoencoder-based joint learning framework that integrates two recurrent autoencoders to ...

Methods: This study integrates rainfall, surface displacement, and vertical displacement monitoring data, and proposes an automatic failure mode identification method based on deep convolutional ...