20 citations · 43 across the 4 of their papers we have counts for
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Identification of Coronal Holes on AIA/SDO images using unsupervised Machine Learning
Fadil Inceoglu, Yuri Y. Shprits, Stephan G. Heinemann +1
Through its magnetic activity, the Sun governs the conditions in Earth's vicinity, creating space weather events, which have drastic effects on our space- and ground-based technolo…
Causal Interaction between the subsurface rotation rate residuals and radial magnetic field in different timescales
Fadil Inceoglu, Rachel Howe, Paul T. M. Loto'aniu
We studied the presence and spatiotemporal characteristics and evolution of the variations in the differential rotation rates and radial magnetic fields in the Schwabe and Quasi-bi…
The QBO-type signals in the subsurface flow fields during solar cycles 23 and 24
Fadil Inceoglu, Rachel Howe, Paul T. M. Loto'aniu
We studied the presence and spatiotemporal evolution of the quasi-biennial oscillations (QBOs) in the rotation rate residuals at target depths of 0.90, 0.95,…
Using Machine Learning Methods to Forecast If Solar Flares Will Be Associated with CMEs and SEPs
Fadil Inceoglu, Jacob H. Jeppesen, Peter Kongstad +3
Among the eruptive activity phenomena observed on the Sun, the most technology threatening ones are flares with associated coronal mass ejections (CMEs) and solar energetic particl…
Nature of grand minima and maxima from fully non-linear Flux-Transport Dynamos
F. Inceoglu, R. Arlt, M. Rempel
We aim to investigate the nature and occurrence characteristics of grand solar minimum and maximum periods, which are observed in the solar proxy records such as 10Be and 14C, usin…