most citedComparative analysis of machine learning techniques for feature selection and classification of Fast Radio Bursts

5 citations · 5 across the 1 of their papers we have counts for

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1 paper

astro-ph.HE2025★ 5 cited

Comparative analysis of machine learning techniques for feature selection and classification of Fast Radio Bursts

Ailton J. B. Júnior, Jéferson A. S. Fortunato, Leonardo J. Silvestre +2

Fast Radio Bursts (FRBs) are millisecond-duration radio transients of extragalactic origin, exhibiting a wide range of physical and observational properties. Distinguishing between…