Concepedia

Richard Pyle

RP

8

Publications

280

Citations

8

H-Index

2020

Active since

Affiliations

University of Bristol(Current)

University of Strathclyde

Spirit AeroSystems (United Kingdom)

Richard Pyle is an author at University of Bristol specializing in engineering, deep learning, and machine learning.

Top concepts

EngineeringDeep LearningMachine LearningImage AnalysisComputer EngineeringMechanical EngineeringStructural Health MonitoringData ScienceMachine VisionPattern Recognition

Publications per year

2020–2024

8

Publications

8

Deep Learning for Ultrasonic Crack Characterization in NDE

Richard Pyle, Rhodri L. T. Bevan, Robert R. Hughes et al. · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · 2020 · 130 citations · Full text

Nondestructive Evaluation, Convolutional Neural Network, Engineering +16

Uncertainty Quantification for Deep Learning in Ultrasonic Crack Characterization

Richard Pyle, Robert R. Hughes, Amine Ait Si Ali et al. · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · 2022 · 36 citations · Full text

Unsupervised machine learning for flaw detection in automated ultrasonic testing of carbon fibre reinforced plastic composites

Vedran Tunukovic, Shaun McKnight, Richard Pyle et al. · Ultrasonics · 2024 · 33 citations · Full text

Engineering, Machine Learning, Machine Learning Tool +19

Domain Adapted Deep-Learning for Improved Ultrasonic Crack Characterization Using Limited Experimental Data

Richard Pyle, Rhodri L. T. Bevan, Robert R. Hughes et al. · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · 2022 · 21 citations · Full text

A study of machine learning object detection performance for phased array ultrasonic testing of carbon fibre reinforced plastics

Vedran Tunukovic, Shaun McKnight, Ehsan Mohseni et al. · NDT & E International · 2024 · 21 citations · Full text

Engineering, Machine Learning, Intelligent Diagnostics +20

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