Search Results for author: Sheetal Patil

Found 5 papers, 0 papers with code

Smart structural health monitoring (SHM) system for on-board localization of defects in pipes using torsional ultrasonic guided waves

no code implementations17 Mar 2024 Sheetal Patil, Sauvik Banerjee, Siddharth Tallur

Experimental results obtained using a C-clamp for applying mass loading on the pipe show good agreement with the FE simulations.

C++ code

BrainVoxGen: Deep learning framework for synthesis of Ultrasound to MRI

no code implementations11 Oct 2023 Shubham Singh, Dr. Mrunal Bewoor, Ammar Ranapurwala, Satyam Rai, Sheetal Patil

The study presents a deep learning framework aimed at synthesizing 3D MRI volumes from three-dimensional ultrasound images of the brain utilizing the Pix2Pix GAN model.

Unsupervised deep learning framework for temperature-compensated damage assessment using ultrasonic guided waves on edge device

no code implementations8 Oct 2023 Pankhi Kashyap, Kajal Shivgan, Sheetal Patil, Ramana Raja B, Sagar Mahajan, Sauvik Banerjee, Siddharth Tallur

Fueled by the rapid development of machine learning (ML) and greater access to cloud computing and graphics processing units (GPUs), various deep learning based models have been proposed for improving performance of ultrasonic guided wave structural health monitoring (GW-SHM) systems, especially to counter complexity and heterogeneity in data due to varying environmental factors (e. g., temperature) and types of damages.

Cloud Computing

Systematic Review of Techniques in Brain Image Synthesis using Deep Learning

no code implementations8 Sep 2023 Shubham Singh, Ammar Ranapurwala, Mrunal Bewoor, Sheetal Patil, Satyam Rai

This review paper delves into the present state of medical imaging, with a specific focus on the use of deep learning techniques for brain image synthesis.

Image Generation

Environmental variation compensated damage classification and localization in ultrasonic guided wave SHM using self-learnt features and Gaussian mixture models

no code implementations11 Nov 2021 Shruti Sawant, Sheetal Patil, Jeslin Thalapil, Sauvik Banerjee, Siddharth Tallur

Features learnt by the CNNs are used for damage classification and localization of damage by modeling the probability distribution of the features using GMMs.

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