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Software . 2023
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Software . 2023
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FGT-RS-CNN: Version 1 Release

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 30 Mar 2023Publisher:Zenodo
Authors: Kevin Brand; Trienko L. Grobler; Waldo Kleynhans; Mattia Vaccari; Matthew Prescott; Burger Becker;

doi: 10.5281/zenodo.7785573 , 10.5281/zenodo.7785574

FGT-RS-CNN: Version 1 Release

Abstract

This is the code used for the experiments associated with the paper "Feature Guided Training and Rotational Standardisation for Morphological Classification of Radio Galaxies" by Brand et al. accepted for publication by Monthly Notices of the Royal Astronomical Society (MNRAS) on 29 March 2023.

Related Organizations
Keywords

methods: statistical, techniques: image processing, methods: data analysis, radio continuum:galaxies

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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