PULSAR DETECTION WITH DEEP LEARNING A REPORT

Shared by Gary on Nov 1, 2025 • 01:19 AM UTC

Authors:

MANIDEEP PENDYALA

Abstract

The conventional approach in pulsar signal processing often involves sep- arate analysis of array data and images. However, recent advancements have primarily focused on applying modern image classification models solely on image plots, neglecting the integration of array data. In this study, we pro...

Subject

pulsar

deep learning

GAN

Highlights

-GAN-based model achieved higher accuracy (94%) compared to the base and enhanced CNN models.

-Lightweight architecture enabling real-time pulsar classification without overly complex models.

Subject

Highlights

Strengths & Weaknesses

Commercial Applications

Societal Benefits & Applications

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