{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T08:56:55Z","timestamp":1770541015265,"version":"3.49.0"},"reference-count":56,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,5,23]],"date-time":"2023-05-23T00:00:00Z","timestamp":1684800000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,23]],"date-time":"2023-05-23T00:00:00Z","timestamp":1684800000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,5,23]]},"DOI":"10.1109\/saci58269.2023.10158652","type":"proceedings-article","created":{"date-parts":[[2023,6,27]],"date-time":"2023-06-27T13:26:49Z","timestamp":1687872409000},"page":"000405-000414","source":"Crossref","is-referenced-by-count":3,"title":["Machine Learning and Mathematical Models for Prediction of Structural Aging Process"],"prefix":"10.1109","author":[{"given":"Mohammed","family":"Mudabbiruddin","sequence":"first","affiliation":[{"name":"Obuda University,Doctoral School of Material Science and Technology,Budapest,Hungary"}]},{"given":"Amir","family":"Mosavi","sequence":"additional","affiliation":[{"name":"Obuda University,John von Neumann Faculty of Informatics,Budapest,Hungary"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/ma13163638"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CEIDP.2015.7352049"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.12700\/APH.18.4.2021.4.12"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1088\/1757-899X\/560\/1\/012132"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10999-018-9404-y"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.12700\/APH.16.10.2019.10.2"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3074655"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.msea.2014.03.023"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.12700\/APH.18.10.2021.10.11"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.msea.2018.08.023"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.12700\/APH.19.4.2022.4.7"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICHVET.2019.8724325"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpvp.2019.04.017"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijfatigue.2019.105190"},{"key":"ref18","first-page":"73","author":"mudabbiruddin","year":"2022","journal-title":"Markovian Model of Ageing Processes - Core Model"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3109394"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/s13349-020-00437-w"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TDEI.2021.009638"},{"key":"ref45","first-page":"1","article-title":"Electrochemical-Theory-Guided Modelling of the Conditional Generative Adversarial Network for Battery Calendar Ageing Forecast","volume":"6777","author":"hu","year":"2022","journal-title":"IEEE J Emerg Sel Top Power Electron"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.3390\/nano11102631"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1088\/2053-1591\/ac433d"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TTE.2021.3130665"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3390\/app12115318"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3216904"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmrt.2022.03.110"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmst.2020.07.009"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s12540-018-0206-4"},{"key":"ref7","first-page":"50","volume":"17","author":"mudabbiruddin","year":"2022","journal-title":"Examination of aging of alsi1mgmn type aluminium alloy"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.msea.2012.11.101"},{"key":"ref4","first-page":"191-1","author":"ramakumar","year":"2004","journal-title":"System Reliability"},{"key":"ref3","first-page":"130","article-title":"Management of the technical system operation based on forecasting its ‘aging,’","volume":"2565","author":"shakhov","year":"2020","journal-title":"CEUR Workshop Proc"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ECTC.2019.00280"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpvp.2006.07.008"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3390\/s22124439"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2022.120395"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/en12071301"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.surfcoat.2022.129080"},{"key":"ref36","doi-asserted-by":"crossref","first-page":"104542","DOI":"10.1016\/j.pnucene.2022.104542","article-title":"Deep neural networks for estimation of temperature values for thermal ageing evaluation of nuclear power plant equipment","volume":"156","author":"dos","year":"2023","journal-title":"Prog Nucl Energy"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICMA.2011.5985741"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/VPPC.2010.5729124"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/PHM.2008.4711414"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1166\/mex.2020.1715"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/0094-5765(84)90089-4"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ISEIM.2008.4664448"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.probengmech.2022.103270"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TTE.2022.3180805"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/SCM.2017.7970554"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICABME.2017.8167525"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/RTUCON.2016.7763117"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICSJ.2016.7801279"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCTEC.2017.00060"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.triboint.2018.05.001"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CMD.2018.8535792"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/MEACS.2015.7414965"},{"key":"ref27","first-page":"1","article-title":"Using oil quality indicators as system technical life characteristics and maintenance optimizers","volume":"2016","author":"valis","year":"2016","journal-title":"IEEE International Conference on Industrial Engineering and Engineering Management"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICQR2MSE.2012.6246372"}],"event":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","location":"Timisoara, Romania","start":{"date-parts":[[2023,5,23]]},"end":{"date-parts":[[2023,5,26]]}},"container-title":["2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10158523\/10158534\/10158652.pdf?arnumber=10158652","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,17]],"date-time":"2023-07-17T13:33:34Z","timestamp":1689600814000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10158652\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,23]]},"references-count":56,"URL":"https:\/\/doi.org\/10.1109\/saci58269.2023.10158652","relation":{},"subject":[],"published":{"date-parts":[[2023,5,23]]}}}