8 citations · 19 across the 8 of their papers we have counts for
4 papers · 1 filter
Habitability Classification of Exoplanets: A Machine Learning Insight
Suryoday Basak, Surbhi Agrawal, Snehanshu Saha +4
We explore the efficacy of machine learning (ML) in characterizing exoplanets into different classes. The source of the data used in this work is University of Puerto Rico's Planet…
A Comparative Analysis of the Cobb-Douglas Habitability Score (CDHS) with the Earth Similarity Index (ESI)
Surbhi Agrawal, Suryoday Basak, Snehanshu Saha +2
We present an analytical comparison of the Cobb-Douglas Habitability Production Function (CD-HPF) and the Earth Similarity Index (ESI). The key differences between the ESI and CD-H…
Machine Learning in Astronomy: A Case Study in Quasar-Star Classification
Mohammed Viquar, Suryoday Basak, Ariruna Dasgupta +2
We present the results of various automated classification methods, based on machine learning (ML), of objects from data releases 6 and 7 (DR6 and DR7) of the Sloan Digital Sky Sur…
CD-HPF: New Habitability Score Via Data Analytic Modeling
Kakoli Bora, Snehanshu Saha, Surbhi Agrawal +3
The search for life on the planets outside the Solar System can be broadly classified into the following: looking for Earth-like conditions or the planets similar to the Earth (Ear…