{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:22:42Z","timestamp":1740169362341,"version":"3.37.3"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61773262","62006152"],"award-info":[{"award-number":["61773262","62006152"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"China Aviation Science Foundation","doi-asserted-by":"publisher","award":["2022Z071057002"],"award-info":[{"award-number":["2022Z071057002"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3397184","type":"journal-article","created":{"date-parts":[[2024,5,6]],"date-time":"2024-05-06T17:40:54Z","timestamp":1715017254000},"page":"64672-64685","source":"Crossref","is-referenced-by-count":0,"title":["Attention-Aware Meta-Reweighted Optimization for Enhanced Intelligent Fault Diagnosis"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-3450-5431","authenticated-orcid":false,"given":"Guang","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9362-4642","authenticated-orcid":false,"given":"Shiqiang","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China"}]},{"given":"Jiayuan","family":"Fan","sequence":"additional","affiliation":[{"name":"School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China"}]},{"given":"Qiang","family":"Guo","sequence":"additional","affiliation":[{"name":"Commercial Aircraft Corporation of China, Ltd., Shanghai, China"}]},{"given":"Bo","family":"Shen","sequence":"additional","affiliation":[{"name":"Commercial Aircraft Corporation of China, Ltd., Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3300-5695","authenticated-orcid":false,"given":"Lingkun","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1016\/j.asoc.2019.106060"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1016\/j.asoc.2019.105958"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1016\/j.asoc.2018.09.037"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1109\/TII.2021.3078712"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1016\/j.isatra.2020.12.034"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1016\/j.isatra.2022.03.014"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/TSMC.2020.3048950"},{"key":"ref8","article-title":"Small sample learning in big data era","author":"Shu","year":"2018","journal-title":"arXiv:1808.04572"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1016\/j.isatra.2021.02.042"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1613\/jair.953"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1109\/IJCNN.2008.4633969"},{"key":"ref12","first-page":"1","article-title":"Generative adversarial nets","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"27","author":"Goodfellow"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/CVPR.2019.00020"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1016\/j.compind.2019.01.001"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1016\/j.conengprac.2020.104358"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1109\/ICBDA49040.2020.9101321"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1016\/j.measurement.2020.107570"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1109\/SDPC.2018.8664814"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1109\/ACCESS.2020.2986419"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1016\/j.neucom.2020.04.075"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/ACCESS.2019.2926234"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/ACCESS.2019.2936243"},{"key":"ref23","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","volume":"70","author":"Finn"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1109\/IAI53119.2021.9619308"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1016\/j.measurement.2020.108202"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1109\/TIM.2021.3082264"},{"key":"ref27","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:2010.11929"},{"doi-asserted-by":"publisher","key":"ref28","DOI":"10.1109\/CVPR46437.2021.01398"},{"key":"ref29","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018","journal-title":"arXiv:1810.04805"},{"doi-asserted-by":"publisher","key":"ref30","DOI":"10.1145\/3390891"},{"doi-asserted-by":"publisher","key":"ref31","DOI":"10.48550\/ARXIV.1706.03762"},{"doi-asserted-by":"publisher","key":"ref32","DOI":"10.1109\/ICAICE54393.2021.00117"},{"doi-asserted-by":"publisher","key":"ref33","DOI":"10.1109\/PIC50277.2020.9350844"},{"doi-asserted-by":"publisher","key":"ref34","DOI":"10.1109\/TPAMI.2019.2913372"},{"doi-asserted-by":"publisher","key":"ref35","DOI":"10.1016\/j.ress.2021.107934"},{"key":"ref36","first-page":"10","article-title":"Sharp-MAML: Sharpness-aware model-agnostic meta learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Abbas"},{"key":"ref37","article-title":"Sharpness-aware minimization improves language model generalization","author":"Bahri","year":"2021","journal-title":"arXiv:2110.08529"},{"doi-asserted-by":"publisher","key":"ref38","DOI":"10.1109\/TIM.2023.3346532"},{"doi-asserted-by":"publisher","key":"ref39","DOI":"10.1109\/JSEN.2022.3211874"},{"doi-asserted-by":"publisher","key":"ref40","DOI":"10.1109\/TII.2022.3229130"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10380310\/10520896.pdf?arnumber=10520896","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T17:28:37Z","timestamp":1715362117000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10520896\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3397184","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2024]]}}}