Spectral entropy prior-guided deep feature fusion architecture for magnetic core loss

This article describes a research paper on a specific application of deep learning in the field of magnetic core loss analysis. The title suggests a focus on a novel architecture using spectral entropy as a prior to guide feature fusion. The source, ArXiv, indicates it's a pre-print or research paper, not a news article in the traditional sense. The topic is highly specialized and likely targets researchers in electrical engineering or related fields.