Data-driven modelling of the FRC network for studying the fluid flow in the conduit system
- Submitting institution
-
Swansea University / Prifysgol Abertawe
- Unit of assessment
- 12 - Engineering
- Output identifier
- 30588
- Type
- D - Journal article
- DOI
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10.1016/j.engappai.2016.10.007
- Title of journal
- Engineering Applications of Artificial Intelligence
- Article number
- -
- First page
- 341
- Volume
- 62
- Issue
- -
- ISSN
- 0952-1976
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
-
- Research group(s)
-
5 - ZCCE - Zienkiewicz Centre for Computational Engineering
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper was part of the work presented at the annual conference of the British Lymphoma Society (October 2016). The presentation was awarded "best oral presentation".
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -