26 citations
- Carnegie Mellon UniversityUS3 papers
- IEEE Computer SocietyUS3 papers
- Indian Institute of Chemical TechnologyIN3 papers
- Indian Institute of Technology JammuIN3 papers
- Indian Institute of Technology KharagpurIN3 papers
- Physical Research LaboratoryIN2 papers
- University of New MexicoUS2 papers
- Association for Computing MachineryUS1 paper
- Birla Institute of Technology and Science, PilaniIN1 paper
- Concordia UniversityCA1 paper
- CR Rao Advanced Institute of Mathematics, Statistics and Computer ScienceIN1 paper
- Czech Technical University in PragueCZ1 paper
78 papers
Diabetic Retinopathy Classification using Downscaling Algorithms and Deep Learning
Nishi Doshi, Urvi Oza, Pankaj Kumar
Diabetic Retinopathy (DR) is an art and science of recording and classifying the retinal images of a diabetic patient. DR classification deals with classifying retinal fundus image…
Hybrid Fourier Neural Operator-Plasma Fluid Model for Fast and Accurate Multiscale Simulations of High Power Microwave Breakdown
Kalp Pandya, Pratik Ghosh, Ajeya Mandikal +2
Modeling and simulation of High Power Microwave (HPM) breakdown, a multiscale phenomenon, is computationally expensive and requires solving Maxwell's equations (EM solver) coupled…
Stacked Autoencoder Based Feature Extraction and Superpixel Generation for Multifrequency PolSAR Image Classification
Tushar Gadhiya, Sumanth Tangirala, Anil K. Roy
In this paper we are proposing classification algorithm for multifrequency Polarimetric Synthetic Aperture Radar (PolSAR) image. Using PolSAR decomposition algorithms 33 features a…
Deep Learning assisted microwave-plasma interaction based technique for plasma density estimation
Pratik Ghosh, Bhaskar Chaudhury, Shishir Purohit +3
The electron density is a key parameter to characterize any plasma. Most of the plasma applications and research in the area of low-temperature plasmas (LTPs) are based on the accu…
Deep Learning Architecture Based Approach For 2D-Simulation of Microwave Plasma Interaction
Mihir Desai, Pratik Ghosh, Ahlad Kumar +1
This paper presents a convolutional neural network (CNN)-based deep learning model, inspired from UNet with series of encoder and decoder units with skip connections, for the simul…
Query Complexity Based Optimal Processing of Raw Data
Mayank Patel, Minal Bhise
The paper aims to find an efficient way for processing large datasets having different types of workload queries with minimal replication. The work first identifies the complexity…