Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Adam J. Wootton"'
The degradation of roads is an expensive problem: in the United Kingdom alone, £27 billion was spent on road repairs between 2013 and 2019. One potential cost-saver is the early, non-destructive detection of faults. There are many available techniqu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8997c14cc47c88120d9d4bcc64170526
https://eprints.keele.ac.uk/10643/7/14759217221080718.pdf
https://eprints.keele.ac.uk/10643/7/14759217221080718.pdf
Publikováno v:
IJCNN
The cost of maintaining and repairing the world’s ageing reinforced concrete infrastructure continues to increase,\ud and is expected to cost the United States economy alone $58\ud billion by 2020. Consequently, the use of non-destructive testing t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::047c8a22bc41b5a394fff56c6d64f17b
https://eprints.keele.ac.uk/9052/1/woottondayhaycockfinal.pdf
https://eprints.keele.ac.uk/9052/1/woottondayhaycockfinal.pdf
Publikováno v:
Cognitive Computation. 9:391-399
Static pattern recognition requires a machine to classify an object on the basis of a combination of attributes and is typically performed using machine learning techniques such as support vector machines and multilayer perceptrons. Unusually, in thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e3d6b5fc99ecf1095c6065cc3ffb632
https://doi.org/10.1007/s12559-017-9468-2
https://doi.org/10.1007/s12559-017-9468-2
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319669380
UKCI
UKCI
Lung cancer is a widespread disease and it is well understood that systematic, non-invasive and early detection of this progressive and life-threatening disorder is of vital importance for patient outcomes. In this work we present a convergence of fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::490dfc532b48134610317d2241242447
https://doi.org/10.1007/978-3-319-66939-7_15
https://doi.org/10.1007/978-3-319-66939-7_15
Echo State Networks (ESNs) and a Nonlinear Auto-Regressive Moving Average model with eXogenous inputs (NARMAX) have been applied to multi-sensor time-series data arising from a test footbridge which has been subjected to multiple potentially damaging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::441b336d9754121ed72a4ebb171c3295
https://eprints.keele.ac.uk/3707/1/EAAI_resubmission_final.pdf
https://eprints.keele.ac.uk/3707/1/EAAI_resubmission_final.pdf
Publikováno v:
IJCNN
Echo State Networks (ESNs) have been applied to time-series data arising from a structural health monitoring multi-sensor array placed onto a test footbridge which has been subjected to a number of potentially damaging interventions over a three year
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::645c695d9d62bdafbde2dd76d4ff9acb
https://eprints.keele.ac.uk/1874/1/IJCNN_2015acceptedDraft_15505.pdf
https://eprints.keele.ac.uk/1874/1/IJCNN_2015acceptedDraft_15505.pdf