Pulsar Candidate Classification Using A Computer Vision Method Combining with Convolution and Attention
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DOI: 10.1088/1674-4527/accdc2
Abstract: Artificial intelligence methods are indispensable to identifying pulsars from large amounts of candidates. We develop a new pulsar identification system that utilizes the CoAtNet to score two-dimensional features of candidates, uses a multilayer perceptron to… read more here.
Keywords: candidate classification; dimensional features; using computer; pulsar candidate ... See more keywords