Record link: 
http://hdl.handle.net/20.500.12708/222951
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Title: 
A Machine Learning Approach to Classifying Galaxy Morphologies in K-Band (24 GHz) Imaging
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Citation: 
Mwiya-Monde, N., de Witt, A., Krásná, H., & McKean, J. (2025, March). A Machine Learning Approach to Classifying Galaxy Morphologies in K-Band (24 GHz) Imaging [Poster Presentation]. African Astronomical Society Conference and General Assembly 2025 (AfAS-2025), Gauteng, South Africa. http://hdl.handle.net/20.500.12708/222951
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Publication Type: 
Presentation - Poster Presentation
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Language: 
English
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Authors: 
Mwiya-Monde, Namakau 
de Witt, Aletha 
Krásná, Hana 
McKean, J. 
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Organisational Unit: 
E120-04 - Forschungsbereich Höhere Geodäsie 
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Date (published): 
Mar-2025
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Event name: 
African Astronomical Society Conference and General Assembly 2025 (AfAS-2025) 
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Event date: 
20-Mar-2025 - 28-Mar-2025
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Event place: 
Gauteng, South Africa
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Keywords: 
VLBI K-band; VLBI imaging; VLBI source structure; Maschine Learning
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Research Areas: 
Environmental Monitoring and Climate Adaptation: 100%
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Science Branch: 
2074 - Geodäsie, Vermessungswesen: 30%
1030 - Physik, Astronomie: 70%
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