24 citations · 128 across the 13 of their papers we have counts for
4 papers · 1 filter
GRB Optical and X-ray Plateau Properties Classifier Using Unsupervised Machine Learning
Shubham Bhardwaj, Maria G. Dainotti, Sachin Venkatesh +4
The division of Gamma-ray bursts (GRBs) into different classes, other than the "short" and "long", has been an active field of research. We investigate whether GRBs can be classifi…
Fermi LAT AGN classification using supervised machine learning
Nathaniel Cooper, Maria Giovanna Dainotti, Aditya Narendra +2
Classifying Active Galactic Nuclei (AGN) is a challenge, especially for BL Lac Objects (BLLs), which are identified by their weak emission line spectra. To address the problem of c…
A Stochastic Approach To Reconstruct Gamma Ray Burst Lightcurves
Maria G. Dainotti, Ritwik Sharma, Aditya Narendra +4
Gamma-Ray Bursts (GRBs), being observed at high redshift (z = 9.4), vital to cosmological studies and investigating Population III stars. To tackle these studies, we need correlati…
From Robots to Books: An Introduction to Smart Applications of AI in Education (AIEd)
Shubham Ojha, Aditya Narendra, Siddharth Mohapatra +1
The world around us has undergone a radical transformation due to rapid technological advancement in recent decades. The industry of the future generation is evolving, and artifici…