Xiao-N. Guo

An integrated learning risk prediction model for multisource data in nuclear power engineering

For the modal matching problem of multi-source heterogeneous data from nuclear power plants, this paper proposes a risk warning system that integrates deep feature extraction and hybrid ensemble learning. A multi-modal deep autoencoder network is used to achieve high-dimensional feature alignment of cross-source data;...