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DC Field | Value | Language |
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dc.contributor.author | Razgon, M | - |
dc.contributor.author | Mousavi, A | - |
dc.date.accessioned | 2022-06-27T12:07:23Z | - |
dc.date.available | 2021-03-01 | - |
dc.date.available | 2022-06-27T12:07:23Z | - |
dc.date.issued | 2021-03-12 | - |
dc.identifier.citation | Razgon, M. and Mousavi, A. (2021) ‘Correction: Razgon, M., et al. Relaxed Rule-Based Learning for Automated Predictive Maintenance: Proof of Concept. Algorithms 2020, 13, 219, pp. 1-1. doi: 10.3390/a14030086. | en_US |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/24730 | - |
dc.description | Correction to Algorithms 2020, 13(9), 219. | en_US |
dc.description.abstract | The authors wish to make the following corrections to their paper [1]: 1. The names of the industrial machine and its super-components are removed. 2. Two tables describing the real alarm codes and the real sensor readings (attributes) are removed from Section 3.2. The changes do not affect the scientific results. The manuscript will be updated with a reference to this Correction. | en_US |
dc.format.extent | 1 - 1 | - |
dc.format.medium | Electronic | - |
dc.language.iso | en_US | en_US |
dc.publisher | MDPI AG | en_US |
dc.rights | Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.title | Correction to: Relaxed rule-based learning for automated predictive maintenance: proof of concept (Algorithms 2020, 13, 219) | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.3390/a14030086 | - |
dc.relation.isPartOf | Algorithms | - |
pubs.issue | 3 | - |
pubs.publication-status | Published | - |
pubs.volume | 14 | - |
dc.identifier.eissn | 1999-4893 | - |
Appears in Collections: | Dept of Computer Science Research Papers |
Files in This Item:
File | Description | Size | Format | |
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Corrigendum.pdf | 146.98 kB | Adobe PDF | View/Open |
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