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astro-ph.IM2025
Anomaly detection in radio galaxy data with trainable COSFIRE filters
Steven Ndung'u, Trienko Grobler, Stefan J. Wijnholds +1
Detecting anomalies in radio astronomy is challenging due to the vast amounts of data and the rarity of labeled anomalous examples. Addressing this challenge requires efficient met…
astro-ph.IM2023
Classification of Radio Galaxies with trainable COSFIRE filters
Steven Ndungu, Trienko Grobler, Stefan J. Wijnholds Dimka Karastoyanova +1
Radio galaxies exhibit a rich diversity of characteristics and emit radio emissions through a variety of radiation mechanisms, making their classification into distinct types based…
astro-ph.IM2023
Advances on the classification of radio image cubes
Steven Ndung'u, Trienko Grobler, Stefan J. Wijnholds +2
Modern radio telescopes will daily generate data sets on the scale of exabytes for systems like the Square Kilometre Array (SKA). Massive data sets are a source of unknown and rare…