Akram, TallhaIslam, S. M.RiazulNaqvi, Syed RameezAurangzeb, KhursheedAbdullah-Al-Wadud, M.Alamri, Atif2023-09-262023-09-262021-05-01Akram, 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.2021.1040882211-3797ORCID: /0000-0003-2968-9561/work/143414260https://hdl.handle.net/2164/21749Funding 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 Authors9166855engApproximationArtificial neural networksGMDHLSTMMetamaterials antennaResistance–temperatureSuperconducting filmQC PhysicsQA75 Electronic computers. Computer scienceGeneral Physics and AstronomyQCQA75Journal article10.1016/j.rinp.2021.104088http://www.scopus.com/inward/record.url?scp=85103090129&partnerID=8YFLogxK24