Research output per year
Research output per year
Personal profile
Research interests
NDE, Ultrasonics, Deep Learning, Domain Adaptation, Data Compression
Research Groups and Themes
- Ultrasonics and Non-Destructive Testing (UNDT)
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Dive into the research topics where Richard Pyle is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
- 5 Article (Academic Journal)
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Interpretable and Explainable Machine Learning for Ultrasonic Defect Sizing
Pyle, R., Hughes, R. R. & Wilcox, P. D., 24 Feb 2023, In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 70, 4, p. 277-290 14 p.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile11 Citations (Scopus)315 Downloads (Pure) -
Domain Adapted Deep-Learning for Improved Ultrasonic Crack Characterization Using Limited Experimental Data
Pyle, R. J., Bevan, R. L. T., Hughes, R. R., Ali, A. A. S. & Wilcox, P. D., 1 Apr 2022, In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 69, 4, p. 1485-1496 12 p.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile15 Citations (Scopus)163 Downloads (Pure) -
Potential and limitations of NARX for defect detection in guided wave signals
Tu, L., Pyle, R., Croxford, A. J. & Wilcox, P. D., 8 Aug 2022, In: STRUCTURAL HEALTH MONITORING. 13 p.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile12 Citations (Scopus)303 Downloads (Pure)
Datasets
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Interpretable & Explainable Machine Learning for Ultrasonic Defect Sizing
Pyle, R. (Creator), Hughes, R. (Contributor) & Wilcox, P. (Data Manager), University of Bristol, 24 Jan 2023
DOI: 10.5523/bris.2o82rzo6d5ly32h7msblzq4y8v, http://data.bris.ac.uk/data/dataset/2o82rzo6d5ly32h7msblzq4y8v
Dataset
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Uncertainty Quantification for Deep Learning in Ultrasonic Crack Characterization
Pyle, R. (Creator), Hughes, R. (Creator), Ali, A. A. S. (Creator) & Wilcox, P. (Creator), University of Bristol, 8 Apr 2022
DOI: 10.5523/bris.xpeoi1k840fj2mrvfuaejo2t1, http://data.bris.ac.uk/data/dataset/xpeoi1k840fj2mrvfuaejo2t1
Dataset
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Domain Adapted Deep-Learning for Improved Ultrasonic Crack Characterization Using Limited Experimental Data
Wilcox, P. (Creator), Pyle, R. (Creator), Hughes, R. (Creator), Bevan, R. L. T. (Creator) & Ali, A. A. S. (Creator), University of Bristol, 16 Feb 2022
DOI: 10.5523/bris.2qvdv9sor9qwk25j6ewyq6eexd, http://data.bris.ac.uk/data/dataset/2qvdv9sor9qwk25j6ewyq6eexd
Dataset
Thesis
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Application of machine learning to ultrasonic nondestructive evaluation
Pyle, R. (Author), Wilcox, P. (Supervisor), Hughes, R. (Supervisor) & Bevan, R. (Supervisor), 24 Jan 2023Student thesis: Doctoral Thesis › Engineering Doctorate (EngD)
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