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Software . 2020
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License: CC BY
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FRBID - MeerKAT Fast Radio Burst Intelligent Distinguisher using Deep Learning

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 25 Sep 2020 English Publisher:Zenodo
Authors: Zafiirah Hosenie;

doi: 10.5281/zenodo.4049946 , 10.5281/zenodo.4049945

FRBID - MeerKAT Fast Radio Burst Intelligent Distinguisher using Deep Learning

Abstract

Identification of Fast Radio Burst/Single Pulses (FRB/SP) and Radio Frequency Interference (RFI) using Deep Convolutional Neural Network for MeerKAT facility.

Related Organizations
Keywords

Deep Learning, Convolutional Neural Network, Classification, Fast Radio Burst, Radio Frequency Interference

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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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.
BIP!Impulse provided by BIP!
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