Artificial intelligence machine learning applied to surface topography and pattern recognition
Artificial intelligence machine learning applied to surface topography and pattern recognition
This special issue aims to cover a review of Artificial Intelligence and Machine Learning (AI/ML) techniques available and used to identify surface patterns and to optimise finishing processes in manufacturing and surface engineering. It will also include the latest research in the use of AI/ML in instrumentation, design, microstructure, manufacture, healthcare and health monitoring and degradation or evolutions of surface topography/texture. Applications may include astronomy, geology and archaeology as well as engineering, biomedical, biometrics and chemistry.
This special issue will highlight how AI/ML can help surface design and functionality and we seek contributions covering aspects from surface design, modelling and experimental verification as well as surface measurement and characterisation. Your contribution would be most welcome.
artificial intelligence (AI), Machine Learning, Surface Topography, Pattern Recognition
Mahmoodi, Sasan
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Wood, Robert
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Nosonovsky, Michael
6723d7c2-6df4-40c8-be3b-dcf3666ba7e4
Mahmoodi, Sasan
91ca8da4-95dc-4c1e-ac0e-f2c08d6ac7cf
Wood, Robert
d9523d31-41a8-459a-8831-70e29ffe8a73
Nosonovsky, Michael
6723d7c2-6df4-40c8-be3b-dcf3666ba7e4
Mahmoodi, Sasan, Wood, Robert and Nosonovsky, Michael
(eds.)
(2023)
Artificial intelligence machine learning applied to surface topography and pattern recognition.
Surface Topography: Metrology and Properties, (Special Issue).
Abstract
This special issue aims to cover a review of Artificial Intelligence and Machine Learning (AI/ML) techniques available and used to identify surface patterns and to optimise finishing processes in manufacturing and surface engineering. It will also include the latest research in the use of AI/ML in instrumentation, design, microstructure, manufacture, healthcare and health monitoring and degradation or evolutions of surface topography/texture. Applications may include astronomy, geology and archaeology as well as engineering, biomedical, biometrics and chemistry.
This special issue will highlight how AI/ML can help surface design and functionality and we seek contributions covering aspects from surface design, modelling and experimental verification as well as surface measurement and characterisation. Your contribution would be most welcome.
Text
STMP SI editorialv2
- Accepted Manuscript
Restricted to Repository staff only until 18 December 2024.
More information
e-pub ahead of print date: 18 December 2023
Keywords:
artificial intelligence (AI), Machine Learning, Surface Topography, Pattern Recognition
Identifiers
Local EPrints ID: 486302
URI: http://eprints.soton.ac.uk/id/eprint/486302
ISSN: 2051-672X
PURE UUID: 1e86f9fb-91ca-4c32-a41b-c261b46c961d
Catalogue record
Date deposited: 17 Jan 2024 17:30
Last modified: 18 Mar 2024 02:40
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Contributors
Editor:
Sasan Mahmoodi
Editor:
Michael Nosonovsky
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