| dc.contributor.author | Rashidi, S | en_US |
| dc.contributor.author | Karimi, N | en_US |
| dc.contributor.author | Yan, W-M | en_US |
| dc.date.accessioned | 2022-11-22T09:40:22Z | |
| dc.date.available | 2022-08-22 | en_US |
| dc.date.issued | 2022 | en_US |
| dc.identifier.issn | 0955-7997 | en_US |
| dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/82650 | |
| dc.format.extent | 399 - 408 | en_US |
| dc.relation.ispartof | ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS | en_US |
| dc.subject | Solar desalination systems | en_US |
| dc.subject | Predictive models | en_US |
| dc.subject | Machine learning techniques | en_US |
| dc.subject | Productivity | en_US |
| dc.subject | Energy efficiency | en_US |
| dc.title | Applications of machine learning techniques in performance evaluation of solar desalination systems - A concise review | en_US |
| dc.type | Article | |
| dc.rights.holder | © 2022 Elsevier Ltd. All rights reserved. | |
| dc.identifier.doi | 10.1016/j.enganabound.2022.08.031 | en_US |
| pubs.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000852196200001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
| pubs.notes | Not known | en_US |
| pubs.publication-status | Published | en_US |
| pubs.volume | 144 | en_US |
| rioxxterms.funder | Default funder | en_US |
| rioxxterms.identifier.project | Default project | en_US |
