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Data · dataset · 2019

Identifying High Area-to-Mass Ratio Space Objects Using Historical Two-Line Element Set

Listed in Teesside University Research Data Repository

The HAMRTLESeq series of datasets (in WEKA *.arff format) were constructed using RSO's TLE historical data for the time series data set of the HAMR classification.

Description

They are used to validate the two hypotheses presented in the paper "Identifying High Area-to-Mass Ratio Space Objects Using Historical Two-Line Element Set, 2019" (authors: Bin Liu, Junfeng Wu, Li Yao.) and forming a machine learning models for HAMR objects recognition.

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Where it is published

Catalogue records · 1

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Provenance · 1 source records, 11 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/xsz8pgcrg9.18 d agoJSON v1
FieldAssertionExtractorEvidence
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