Sakib Ashraf Zargar
College of Engineering
Works (3)
Updated: January 29th, 2024 07:39
2020 journal article
Augmented reality for enhanced visual inspection through knowledge-based deep learning
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 20(1), 426–442.
author keywords: Enhanced visual inspection; augmented reality; knowledge-based learning; structural health monitoring; automated damage detection; deep learning; object detection; image segmentation; convolutional neural networks
TL;DR:
A two-stage knowledge-based deep learning algorithm is presented for enabling automated damage detection in real-time using the augmented reality smart glasses and the more challenging task of defect detection in a multi-joint bolted region is addressed.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science)
Source: Web Of Science
Added: February 15, 2021
2020 review
Impact diagnosis in stiffened structural panels using a deep learning approach
[Review of ]. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 20(2), 681–691.
author keywords: Impact diagnosis; physics-inspired deep learning; full wavefield analysis; spatio-temporal information extraction; convolutional neural networks; recurrent neural networks; real-time impact monitoring system; highspeed camera; computer-vision
TL;DR:
An approach for the autonomous analysis of wavefields for impact diagnosis, that is, identifying the impact location and reconstructing the impact force time-history by incorporating the physics-based concept of time-reversal in the recurrent part of the network.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: July 6, 2020
2020 article
Machine Learning for Structural Health Monitoring: Challenges and Opportunities
SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2020, Vol. 11379.
author keywords: Machine learning; artificial neural networks; physics-informed learning; visual inspection; augmented reality; impact diagnosis; damage diagnosis; structural health monitoring
TL;DR:
As a step towards the goal of automated damage detection, preliminary results are presented from dynamic modelling of beam structures using physics-informed artificial neural networks and a sensing paradigm for non-contact full-field measurements for damage diagnosis is presented.
(via Semantic Scholar)
open access via www.spiedigitallibrary.org (publisher PDF)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: December 11, 2020
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