Predicting Habitable Exoplanets in Different Star-Systems Using Deep Learning Based Anomaly Detection Approach
Author:
Affiliation:
1. Indian Institute of Information Technlogy Allahabad,Information Technology,Prayagraj,India
2. Institute of Technical Education and Research, S‘O’ A,Computer Science,Bhubaneswar,Odisha,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191791.pdf?arnumber=10191791
Reference18 articles.
1. Postulating exoplanetary habitability via a novel anomaly detection method;sarkar;Monthly Notices of the Royal Astronomical Society,2022
2. CD-HPF: New habitability score via data analytic modeling
3. CEESA meets machine learning: A Constant Elasticity Earth Similarity Approach to habitability and classification of exoplanets
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