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Transforming automated inspection & non-destructive testing: world-leading Open Access research on robotics, sensors & ultrasonics

Strathprints makes available scholarly Open Access content by researchers within the Centre for Ultrasonic Engineering, based within Electronic & Electrical Engineering.

Research at CUE brings together next generation robotics with sensing technology to enable inspection of high value components, such as aerospace components, at the point of manufacture. Non-destructive testing techniques using ultrasound and other sensors can then be deployed to assess components for structural faults or damage and thereby ensure they are built correctly and more efficiently. Research at CUE is to be stimulated by the construction of a new £2.5 million state-of-the-art Robotically-Enabled Sensing (RES) hub within the Department of Electronic & Electrical Engineering (EEE).

Explore the Open Access research by EEE, or explore all of Strathclyde's Open Access research...

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Jump to: 2020 | 2019 | 2018
Number of items: 3.

2020

Alsolai, Hadeel and Roper, Marc (2020) A systematic literature review of machine learning techniques for software maintainability prediction. Information and Software Technology, 119. 106214. ISSN 0950-5849

2019

Alsolai, Hadeel and Roper, Marc; (2019) Application of ensemble techniques in predicting object-oriented software maintainability. In: Proceedings of EASE 2019 - Evaluation and Assessment in Software Engineering. ACM, DNK, pp. 370-373. ISBN 9781450371452

2018

Alsolai, Hadeel; (2018) Predicting software maintainability in object-oriented systems using ensemble techniques. In: 2018 IEEE International Conference on Software Maintenance and Evolution. IEEE, ESP, pp. 716-721. ISBN 9781538678701

This list was generated on Wed Apr 8 17:51:22 2020 BST.