Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Morison, Gordon"'
Summarisation of research results in plain language is crucial for promoting public understanding of research findings. The use of Natural Language Processing to generate lay summaries has the potential to relieve researchers' workload and bridge the
Externí odkaz:
http://arxiv.org/abs/2303.14222
Surface cracks are a very common indicator of potential structural faults. Their early detection and monitoring is an important factor in structural health monitoring. Left untreated, they can grow in size over time and require expensive repairs or m
Externí odkaz:
http://arxiv.org/abs/2202.03714
Surface cracks are a common sight on public infrastructure nowadays. Recent work has been addressing this problem by supporting structural maintenance measures using machine learning methods. Those methods are used to segment surface cracks from thei
Externí odkaz:
http://arxiv.org/abs/2109.00456
Surface crack segmentation poses a challenging computer vision task as background, shape, colour and size of cracks vary. In this work we propose optimized deep encoder-decoder methods consisting of a combination of techniques which yield an increase
Externí odkaz:
http://arxiv.org/abs/2008.06266
Publikováno v:
In Automation in Construction August 2021 128
Publikováno v:
In Expert Systems With Applications 1 June 2021 171
Publikováno v:
In Digital Signal Processing January 2021 108
Autor:
Morison, Gordon
Tills thesis is initially concerned with solving the Blind Source Separation (BSS) problem. The BSS problem has been found to occur frequently in problems existing in various Scientific and Engineering application areas. The basic idea of the BSS pro
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.501874
Autor:
Mitiche, Imene, Morison, Gordon, Nesbitt, Alan, Hughes-Narborough, Michael, Stewart, Brian G., Boreham, Philip
Publikováno v:
In Electric Power Systems Research October 2018 163 Part A:261-269
Autor:
Ovens, Kenneth M., Morison, Gordon
Publikováno v:
In Digital Investigation June 2016 17:40-52