30 citations · 45 across the 11 of their papers we have counts for
6 papers · 1 filter
SBAF: A New Activation Function for Artificial Neural Net based Habitability Classification
Snehanshu Saha, Archana Mathur, Kakoli Bora +2
We explore the efficacy of using a novel activation function in Artificial Neural Networks (ANN) in characterizing exoplanets into different classes. We call this Saha-Bora Activat…
A Novel Exoplanetary Habitability Score via Particle Swarm Optimization of CES Production Functions
Abhijit Theophilus, Snehanshu Saha, Suryoday Basak +1
The search for life has two goals essentially: looking for planets with Earth-like conditions (Earth similarity) and looking for the possibility of life in some form (habitability)…
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…
Model Visualization in understanding rapid growth of a journal in an emerging area
Snehanshu Saha, Poulami Sarkar, Archana Mathur +1
A recent independent study resulted in a ranking system which ranked Astronomy and Computing (ASCOM) much higher than most of the older journals highlighting the niche prominence o…