Enhanced Comparative Analysis of Pretrained and Custom Deep Convolutional Neural Networks for Galaxy Morphology Classification

Enhanced Comparative Analysis of Pretrained and Custom Deep Convolutional Neural Networks for Galaxy Morphology Classification

Galaxy morphology classification is a crucial task in astronomy and astrophysics, providing information on galaxy formation and evolution. Traditionally, this classification has been a manual and labor-intensive process requiring significant astronomical expertise. However, advancements in artificia...

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Bibliographic Details
Main Authors: Tram Le, Nickson Ibrahim, Thu Nguyen, Thanyaporn Noiplab, Jungyoon Kim, Deepshikha Bhati
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Engineering Proceedings
Subjects:
galaxy classification
image processing
convolutional neural networks
transfer learning
Online Access:https://www.mdpi.com/2673-4591/89/1/36
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