A. Kvammen and co-authors published a study in which deep convolutional networks are used to authomatically scale and classify oblique ionograms obtained from a receiver situated in Skibotn, Norway. The networks successfully classifies the presence of E- and/or F-region traces,  their virtual distances as well as the maximum plasma frequencies in an automated way.

The article can be found here:  

Kvammen A, Vierinen J, Huyghebaert D, Rexer T, Spicher A, Gustavsson B and Floberg J (2024) NOIRE-Net–a convolutional neural network for automatic classification and scaling of high-latitude ionograms. Front. Astron. Space Sci. 11:1289840. doi: 10.3389/fspas.2024.1289840