{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T06:44:58Z","timestamp":1764225898817,"version":"3.41.2"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U21A20481","61973071","U22A2055"],"award-info":[{"award-number":["U21A20481","61973071","U22A2055"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018617","name":"Liaoning Revitalization Talents Program","doi-asserted-by":"publisher","award":["XLYC2002046"],"award-info":[{"award-number":["XLYC2002046"]}],"id":[{"id":"10.13039\/501100018617","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities of China","doi-asserted-by":"publisher","award":["N2304013"],"award-info":[{"award-number":["N2304013"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Automat. Sci. Eng."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tase.2023.3326496","type":"journal-article","created":{"date-parts":[[2023,10,31]],"date-time":"2023-10-31T14:58:04Z","timestamp":1698764284000},"page":"17299-17309","source":"Crossref","is-referenced-by-count":5,"title":["MAR and UAR: Solutions for Depth Profile Reconstruction of MFL Inspection With High Degree of Freedoms"],"prefix":"10.1109","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8742-904X","authenticated-orcid":false,"given":"Zhenning","family":"Wu","sequence":"first","affiliation":[{"name":"College of Information Science and Engineering, Northeastern University, Shenyang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1256-1337","authenticated-orcid":false,"given":"Jinhai","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Northeastern University, Shenyang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5892-0390","authenticated-orcid":false,"given":"Lixing","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Northeastern University, Shenyang, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2018.2869438"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2017.2673024"},{"issue":"12","key":"ref3","doi-asserted-by":"crossref","first-page":"31036","DOI":"10.3390\/s151229845","article-title":"Theory and application of magnetic flux leakage pipeline detection","volume":"15","author":"Shi","year":"2015","journal-title":"Sensors"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11370-014-0158-6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMAG.2016.2631525"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.asoc.2016.10.040","article-title":"Detection and sizing of metal-loss defects in oil and gas pipelines using pattern-adapted wavelets and machine learning","volume":"52","author":"Layouni","year":"2017","journal-title":"Appl. Soft Comput."},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ndteint.2019.01.004"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3152243"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/20.996263"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1088\/0022-3727\/38\/12\/004"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMAG.2012.2208119"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1049\/iet-smt:20060069"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s12204-009-0168-2"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2018.2813839"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1049\/iet-smt.2014.0173"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1063\/1.1558693"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMAG.2009.2037008"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMAG.2016.2642887"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3052000"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1088\/0022-3727\/19\/4\/018"},{"key":"ref21","first-page":"387","article-title":"Deterministic policy gradient algorithms","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Silver"},{"key":"ref22","article-title":"Continuous control with deep reinforcement learning","author":"Lillicrap","year":"2015","journal-title":"arXiv:1509.02971"},{"key":"ref23","article-title":"Playing Atari with deep reinforcement learning","author":"Mnih","year":"2013","journal-title":"arXiv:1312.5602"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1049\/iet-smt.2016.0279"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2828811"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TMAG.2020.2981450"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TMAG.2013.2283343"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-018-0019-x"},{"key":"ref30","first-page":"1157","article-title":"An introduction to variable and feature selection","volume":"3","author":"Guyon","year":"2003","journal-title":"J. Mach. Learn. Res."},{"key":"ref31","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1016\/B978-0-12-804291-5.00010-6","article-title":"Deep learning","volume-title":"Data Mining","author":"Witten","year":"2017"},{"volume-title":"Machine Learning: A Probabilistic Perspective","year":"2012","author":"Murphy","key":"ref32"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1718942115"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0172395"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-71682-4_5"},{"key":"ref36","article-title":"Value-decomposition networks for cooperative multi-agent learning","author":"Sunehag","year":"2017","journal-title":"arXiv:1706.05296"},{"article-title":"Multi-agent actor-critic for mixed cooperative-competitive environments","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lowe","key":"ref37"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3165212"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3154028"}],"container-title":["IEEE Transactions on Automation Science and Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8856\/10839176\/10302415.pdf?arnumber=10302415","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,9]],"date-time":"2025-07-09T21:28:53Z","timestamp":1752096533000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10302415\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/tase.2023.3326496","relation":{},"ISSN":["1545-5955","1558-3783"],"issn-type":[{"type":"print","value":"1545-5955"},{"type":"electronic","value":"1558-3783"}],"subject":[],"published":{"date-parts":[[2025]]}}}