Using neural architecture search to discover a convolutional neural network to detect defects from volumetric ultrasonic testing data of composites

Shaun McKnight; Christopher MacKinnon; Gareth Pierce; Ehsan Mohseni; Vedran Tunukovic; Charles Norman MacLeod; Tom O'Hare

Using neural architecture search to discover a convolutional neural network to detect defects from volumetric ultrasonic testing data of composites

Shaun McKnight, Christopher MacKinnon, Gareth Pierce, Ehsan Mohseni, Vedran Tunukovic, Charles Norman MacLeod, Tom O'Hare

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

Original language	English
Publication status	Published - 4 Sept 2023
Event	IEEE International Ultrasonics Symposium 2023 - Palais des congrès de Montréal, Montreal, Canada Duration: 3 Sept 2023 → 8 Sept 2023 https://2023.ieee-ius.org

Conference

Conference	IEEE International Ultrasonics Symposium 2023
Abbreviated title	IEEE IUS
Country/Territory	Canada
City	Montreal
Period	3/09/23 → 8/09/23
Internet address	https://2023.ieee-ius.org

Keywords

deep learning
Machine Learning
computer vision
NDT
ultrasonics

Cite this

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title = "Using neural architecture search to discover a convolutional neural network to detect defects from volumetric ultrasonic testing data of composites",

keywords = "deep learning, Machine Learning, computer vision, NDT, ultrasonics",

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

year = "2023",

month = sep,

day = "4",

language = "English",

note = "IEEE International Ultrasonics Symposium 2023, IEEE IUS ; Conference date: 03-09-2023 Through 08-09-2023",

url = "https://2023.ieee-ius.org",

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Using neural architecture search to discover a convolutional neural network to detect defects from volumetric ultrasonic testing data of composites. / McKnight, Shaun; MacKinnon, Christopher; Pierce, Gareth et al.
2023. Abstract from IEEE International Ultrasonics Symposium 2023, Montreal, Quebec, Canada.

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

TY - CONF

T1 - Using neural architecture search to discover a convolutional neural network to detect defects from volumetric ultrasonic testing data of composites

AU - McKnight, Shaun

AU - MacKinnon, Christopher

AU - Pierce, Gareth

AU - Mohseni, Ehsan

AU - Tunukovic, Vedran

AU - MacLeod, Charles Norman

AU - O'Hare, Tom

PY - 2023/9/4

Y1 - 2023/9/4

KW - deep learning

KW - Machine Learning

KW - computer vision

KW - NDT

KW - ultrasonics

M3 - Abstract

T2 - IEEE International Ultrasonics Symposium 2023

Y2 - 3 September 2023 through 8 September 2023

ER -