3-Dimensional characterisation of defects with ultrasonic testing and deep learning in composites

Research output: Contribution to conference › Abstract › peer-review

Original language	English
Publication status	Published - 24 Jul 2023
Event	50th Annual Review of Progress in Quantitative Nondestructive Evaluation - Sheraton Austin Hotel at the Capitol, Austin, TX, United States Duration: 24 Jul 2023 → 27 Jul 2023 Conference number: 50 https://event.asme.org/QNDE

Conference	50th Annual Review of Progress in Quantitative Nondestructive Evaluation
Abbreviated title	QNDE 2023
Country/Territory	United States
City	Austin, TX
Period	24/07/23 → 27/07/23
Internet address	https://event.asme.org/QNDE

Keywords

@conference{2c0e2b0ee57f4ced99a02edd1612b268,

title = "3-Dimensional characterisation of defects with ultrasonic testing and deep learning in composites",

keywords = "deep learning, machine learning, ultrasonic testing, composite materials",

author = "Shaun McKnight and Vedran Tunukovic and Gareth Pierce and Ehsan Mohseni and MacLeod, {Charles Norman} and Tom O'Hare",

year = "2023",

month = jul,

day = "24",

language = "English",

note = "50th Annual Review of Progress in Quantitative Nondestructive Evaluation, QNDE 2023 ; Conference date: 24-07-2023 Through 27-07-2023",

url = "https://event.asme.org/QNDE",

}

TY - CONF

T1 - 3-Dimensional characterisation of defects with ultrasonic testing and deep learning in composites

AU - McKnight, Shaun

AU - Tunukovic, Vedran

AU - Pierce, Gareth

AU - Mohseni, Ehsan

AU - MacLeod, Charles Norman

AU - O'Hare, Tom

N1 - Conference code: 50

PY - 2023/7/24

Y1 - 2023/7/24

KW - deep learning

KW - machine learning

KW - ultrasonic testing

KW - composite materials

M3 - Abstract

T2 - 50th Annual Review of Progress in Quantitative Nondestructive Evaluation

Y2 - 24 July 2023 through 27 July 2023

ER -