activity
20192022
most citedCMB-GAN: Fast Simulations of Cosmic Microwave background anisotropy maps using Deep Learning

14 citations · 25 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2022★ 9 cited

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…

cs.CE2022

Machine Learning based Extraction of Boundary Conditions from Doppler Echo Images for Patient Specific Coarctation of the Aorta: Computational Fluid Dynamics Study

Vincent Milimo Masilokwa Punabantu, Malebogo Ngoepe, Amit Kumar Mishra +3

Purpose- Coarctation of the Aorta (CoA) patient-specific computational fluid dynamics (CFD) studies in resource constrained settings are limited by the available imaging modalities…

eess.SP2022

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…

eess.SP2020

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…

astro-ph.CO2019★ 14 cited

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…

astro-ph.CO2019★ 2 cited

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…