This website uses cookies

We use cookies to enhance your experience and support COUNTER Metrics for transparent reporting of readership statistics. Cookie data is not sold to third parties or used for marketing purposes.

Skip to main content
null
Scholarly Review Journal
  • Menu
  • Articles
    • Advocacy
    • Architecture
    • Art
    • Artificial Intelligence
    • Astronomy
    • Biology
    • Business
    • Chemistry
    • Computer Science
    • Crime
    • Economics
    • Education
    • Engineering
    • Environment
    • Ethics
    • Fashion
    • History
    • Law
    • Literature
    • Machine Learning
    • Mathematics
    • Media
    • Medicine
    • Mental Health
    • Music
    • Mythology
    • Philosophy
    • Political Science
    • Politics
    • Psychology
    • Religion
    • Sociology
    • Sport
    • Technology
    • All
  • For Authors
  • Editorial Board
  • About
  • Issues
  • Publication Calendar
  • Contact
  • AI Policy
  • IRB Policy
  • Model Paper
  • search
  • RSS feed (opens a modal with a link to feed)

RSS Feed

Enter the URL below into your favorite RSS reader.

https://www.scholarlyreview.org/feed
ISSN 2996-8380
Astronomy
Vol. Scholarly Debut, Issue Spring 2026, 2026March 30, 2026 CEST

A Machine Learning Method for Classifying Variable Stars

Shreenidhi Anand, Sahasra Lugudu,
Machine learningGradient BoostingRandom ForestVariable starsCepheidRR Lyrae.
Copyright Logoccby-4.0 • https://doi.org/10.70121/001c.158326
Photo by Jeremy Thomas on Unsplash
Scholarly Review Journal
Anand, Shreenidhi, and Sahasra Lugudu. 2026. “A Machine Learning Method for Classifying Variable Stars.” Scholarly Review Journal Scholarly Debut (Spring 2026). https:/​/​doi.org/​10.70121/​001c.158326.

View more stats

Powered by Scholastica, the modern academic journal management system