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Deep Learning Approaches for Radio Frequency Interference Detection for LOFAR

Schuijlenburg, Koen van (2024) Deep Learning Approaches for Radio Frequency Interference Detection for LOFAR. Master's Thesis / Essay, Artificial Intelligence.

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Abstract

De begeleider en/of auteur heeft geen toestemming gegeven tot het openbaar maken van de scriptie. The supervisor and/or the author did not authorize public publication of the thesis.

Item Type: Thesis (Master's Thesis / Essay)
Supervisor name: Schomaker, L.R.B. and Dhali, M.A. and Offringa, A.R.
Degree programme: Artificial Intelligence
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 13 Sep 2024 14:33
Last Modified: 13 Sep 2024 14:33
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/34157

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