AI RESEARCH
Physically-Informed Fuzzy Clustering of Vertical Sounding Ionograms
arXiv CS.CV
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ArXi:2604.27721v1 Announce Type: cross This paper presents a physically-informed fuzzy clustering of vertical sounding ionograms for automatically separating the ionogram into tracks suitable for further interpretation and determining their optimal number. The model is designed for use not only in conditions where the number of tracks is known, but also in disturbed ionospheric conditions where the number of tracks is preliminary unknown.