A novel framework for approximating resistance–temperature characteristics of a superconducting film based on artificial neural networks
| dc.contributor.author | Akram, Tallha | |
| dc.contributor.author | Islam, S. M.Riazul | |
| dc.contributor.author | Naqvi, Syed Rameez | |
| dc.contributor.author | Aurangzeb, Khursheed | |
| dc.contributor.author | Abdullah-Al-Wadud, M. | |
| dc.contributor.author | Alamri, Atif | |
| dc.contributor.institution | University of Aberdeen.Computing Science | en | 
| dc.date.accessioned | 2023-09-26T08:31:00Z | |
| dc.date.available | 2023-09-26T08:31:00Z | |
| dc.date.issued | 2021-05-01 | |
| dc.description | Funding Information: The authors are grateful to the Deanship of Scientific Research at King Saud University , Saudi Arabia for funding this work through the Vice Deanship of Scientific Research Chairs: Chair of Pervasive and Mobile Computing. Publisher Copyright: © 2021 The Authors | en | 
| dc.description.status | Peer reviewed | en | 
| dc.format.extent | 9 | |
| dc.format.extent | 166855 | |
| dc.identifier | 281140786 | |
| dc.identifier | 414e51cd-519a-48c1-b9dc-ff96b51611dd | |
| dc.identifier | 85103090129 | |
| dc.identifier.citation | Akram, T, Islam, S M R, Naqvi, S R, Aurangzeb, K, Abdullah-Al-Wadud, M & Alamri, A 2021, 'A novel framework for approximating resistance–temperature characteristics of a superconducting film based on artificial neural networks', Results in Physics, vol. 24, 104088. https://doi.org/10.1016/j.rinp.2021.104088 | en | 
| dc.identifier.doi | 10.1016/j.rinp.2021.104088 | |
| dc.identifier.issn | 2211-3797 | |
| dc.identifier.other | ORCID: /0000-0003-2968-9561/work/143414260 | |
| dc.identifier.uri | https://hdl.handle.net/2164/21749 | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85103090129&partnerID=8YFLogxK | en | 
| dc.identifier.vol | 24 | en | 
| dc.language.iso | eng | |
| dc.relation.ispartof | Results in Physics | en | 
| dc.subject | Approximation | en | 
| dc.subject | Artificial neural networks | en | 
| dc.subject | GMDH | en | 
| dc.subject | LSTM | en | 
| dc.subject | Metamaterials antenna | en | 
| dc.subject | Resistance–temperature | en | 
| dc.subject | Superconducting film | en | 
| dc.subject | QC Physics | en | 
| dc.subject | QA75 Electronic computers. Computer science | en | 
| dc.subject | General Physics and Astronomy | en | 
| dc.subject.lcc | QC | en | 
| dc.subject.lcc | QA75 | en | 
| dc.title | A novel framework for approximating resistance–temperature characteristics of a superconducting film based on artificial neural networks | en | 
| dc.type | Journal article | en | 
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