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Open Access research that better understands changing marine ecologies...

Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

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Group by: Publication Date | Item type | No Grouping
Number of items: 11.

Article

Tunukovic, Vedran and McKnight, Shaun and Mohseni, Ehsan and Pierce, S. Gareth and Pyle, Richard and Duernberger, Euan and Loukas, Charalampos and Vithanage, Randika K.W. and Lines, David and Dobie, Gordon and MacLeod, Charles N. and Cochran, Sandy and O'Hare, Tom (2024) A study of machine learning object detection performance for phased array ultrasonic testing of carbon fibre reinforced plastics. NDT and E International, 144. 103094. ISSN 0963-8695

Tunukovic, Vedran and McKnight, Shaun and Pyle, Richard and Wang, Zhiming and Mohseni, Ehsan and Pierce, S. Gareth and Vithanage, Randika K. W. and Dobie, Gordon and MacLeod, Charles N. and Cochran, Sandy and O'Hare, Tom (2024) Unsupervised machine learning for flaw detection in automated ultrasonic testing of carbon fibre reinforced plastic composites. Ultrasonics, 140. 107313. ISSN 0041-624X

Pyle, Richard J. and Hughes, Robert R. and Wilcox, Paul D. (2023) Interpretable and explainable machine learning for ultrasonic defect sizing. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 70 (4). pp. 277-290. ISSN 1525-8955

Tu, Xin L and Pyle, Richard J and Croxford, Anthony J and Wilcox, Paul D (2022) Potential and limitations of NARX for defect detection in guided wave signals. Structural Health Monitoring. ISSN 1475-9217

Pyle, Richard J. and Hughes, Robert R. and Ali, Amine Ait Si and Wilcox, Paul D. (2022) Uncertainty quantification for deep learning in ultrasonic crack characterization. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 69 (7). pp. 2339-2351. ISSN 0885-3010

Pyle, Richard J. and Bevan, Rhodri L. T. and Hughes, Robert R. and Ali, Amine Ait Si and Wilcox, Paul D. (2022) Domain adapted deep-learning for improved ultrasonic crack characterization using limited experimental data. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 69 (4). 1485 - 1496.

Pyle, Richard and Bevan, Rhodri L.T. and Hughes, Robert R. and Rachev, Rosen K. and Ali, Amine Ait Si and Wilcox, Paul (2021) Deep learning for ultrasonic crack characterization in NDE. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 68 (5). pp. 1854-1865.

Conference or Workshop Item

Tunukovic, Vedran and McKnight, Shaun and Mohseni, Ehsan and Pierce, S. Gareth and Pyle, Richard and Duernberger, Euan and Loukas, Charalampos and Vithanage, Randika K.W. and Lines, David and Dobie, Gordon and MacLeod, Charles N. and Cochran, Sandy and O'Hare, Tom (2023) Automated deep learning for defect detection in carbon fibre reinforced plastic composites. In: 50th Annual Review of Progress in Quantitative Nondestructive Evaluation, 2023-07-24 - 2023-07-27, Sheraton Austin Hotel at the Capitol,.

Tunukovic, Vedran and McKnight, S. and Pierce, S. G. and Mohseni, Ehsan and MacLeod, C. N. and Pyle, R. and Dobie, G. and O'Hare, T. and Munro, G. and O'Brien-O'Reilly, J. (2023) Application of machine learning techniques for defect detection, localisation, and sizing in ultrasonic testing of carbon fibre reinforced polymers. In: BINDT Aerospace Event 2023, 2023-04-25 - 2023-04-26, Technology & Innovation Centre.

Mohseni, Ehsan and Pierce, S. G. and Vithanage, R.W. K. and MacLeod, C. N. and Dobie, G. and McKnight, S. and Tunukovic, V. and McInnes, M. and Hifi, A. and Gomez, R. and Shields, M. and Poole, A. and Pyle, R. and O'Hare, T. and Munro, G. and O'Brien-O'Reilly, J. (2023) Mapping SEARCH capabilities to Spirit AeroSystems NDE and automation demand for composites. In: BINDT Aerospace Event 2023, 2023-04-25 - 2023-04-26, Technology & Innovation Centre.

Thesis

Pyle, Richard and Wilcox, Paul and Hughes, Robert R. and Bevan, Rhodri L. T. (2023) Application of Machine Learning to Ultrasonic Nondestructive Evaluation. PhD thesis, University of Bristol.

This list was generated on Wed Apr 24 05:42:10 2024 BST.