9 citations · 9 across the 3 of their papers we have counts for
5 papers
Review of Methods for Handling Class-Imbalanced in Classification Problems
Satyendra Singh Rawat, Amit Kumar Mishra
Learning classifiers using skewed or imbalanced datasets can occasionally lead to classification issues; this is a serious issue. In some cases, one class contains the majority of…
Sea Ice Concentration Estimation Techniques Using Machine Learning: An End-To-End Workflow for Estimating Concentration Maps from SAR Images
Stefan Dominicus, Amit Kumar Mishra
Sea ice concentration is an important metric used to characterize polar sea ice behavior. Understanding this behavior and accurately representing it is of critical importance for c…
Transient Classification in low SNR Gravitational Wave data using Deep Learning
Rahul Nigam, Amit Mishra, Pranath Reddy
The recent advances in Gravitational-wave astronomy have greatly accelerated the study of Multimessenger astrophysics. There is a need for the development of fast and efficient alg…
CMB-GAN: Fast Simulations of Cosmic Microwave background anisotropy maps using Deep Learning
Amit Mishra, Pranath Reddy, Rahul Nigam
Cosmic Microwave Background (CMB) has been a cornerstone in many cosmology experiments and studies since it was discovered back in 1964. Traditional computational models like CAMB…
Baryon density extraction and isotropy analysis of Cosmic Microwave Background using Deep Learning
Amit Mishra, Pranath Reddy, Rahul Nigam
The discovery of cosmic microwave background (CMB) was a paradigm shift in the study and fundamental understanding of the early universe and also the Big Bang phenomenon. Cosmic mi…