{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,12]],"date-time":"2025-07-12T00:02:34Z","timestamp":1752278554463,"version":"3.41.2"},"reference-count":42,"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":["U2166214","52207170"],"award-info":[{"award-number":["U2166214","52207170"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2022M712510","2022TQ0252"],"award-info":[{"award-number":["2022M712510","2022TQ0252"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Basic Research Program of Shaanxi","award":["2023-JC-JQ-41"],"award-info":[{"award-number":["2023-JC-JQ-41"]}]},{"DOI":"10.13039\/501100011436","name":"State Key Laboratory of Electrical Insulation and Power Equipment","doi-asserted-by":"publisher","award":["EIPE23408","EIPE23314","EIPE23111"],"award-info":[{"award-number":["EIPE23408","EIPE23314","EIPE23111"]}],"id":[{"id":"10.13039\/501100011436","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tim.2025.3580791","type":"journal-article","created":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T13:37:33Z","timestamp":1750253853000},"page":"1-9","source":"Crossref","is-referenced-by-count":0,"title":["Cable Overheating Localization Using Gas Sensor Array With M-Mamba Network"],"prefix":"10.1109","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7642-7831","authenticated-orcid":false,"given":"Fangfei","family":"Lei","sequence":"first","affiliation":[{"name":"State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2563-3114","authenticated-orcid":false,"given":"Xianghong","family":"Yue","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3369-0541","authenticated-orcid":false,"given":"Jifeng","family":"Chu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-5228-6442","authenticated-orcid":false,"given":"Zhewei","family":"Fan","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0447-7493","authenticated-orcid":false,"given":"Aijun","family":"Yang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5226-8226","authenticated-orcid":false,"given":"Huan","family":"Yuan","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3977-6298","authenticated-orcid":false,"given":"Mingzhe","family":"Rong","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6551-151X","authenticated-orcid":false,"given":"Xiaohua","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1051\/e3sconf\/202123304022"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1088\/1681-7575\/abdd9a"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/s20247126"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2024.3415782"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1021\/acssensors.3c00362"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.snb.2021.130837"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TDEI.2023.3286341"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.engfailanal.2022.106473"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-39213-x"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.matlet.2022.133330"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1117\/12.2585242"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.snb.2019.02.025"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s00034-023-02454-8"},{"key":"ref15","first-page":"572","article-title":"Combining recurrent, convolutional, and continuous-time models with linear state space layers","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Gu"},{"key":"ref16","article-title":"Mamba: Linear-time sequence modeling with selective state spaces","author":"Gu","year":"2023","journal-title":"arXiv:2312.00752"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.129178"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-024-01001-9"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3482473"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3430985"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.112875"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW63382.2024.00575"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1155\/2023\/5183062"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2022.04.005"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3250241"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1093\/imamci\/dnac005"},{"key":"ref27","first-page":"1474","article-title":"HiPPO: Recurrent memory with optimal polynomial projections","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Gu"},{"key":"ref28","article-title":"Efficiently modeling long sequences with structured state spaces","author":"Gu","year":"2021","journal-title":"arXiv:2111.00396"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s00365-021-09548-z"},{"key":"ref30","first-page":"13539","article-title":"Evolving normalization-activation layers","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Liu"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113378"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3306537"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2025.3546391"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106817"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3048792"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2947126"},{"key":"ref37","first-page":"52197","article-title":"On the convergence of encoder-only shallow transformers","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wu"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2023\/759"},{"key":"ref39","first-page":"5156","article-title":"Transformers are RNNs: Fast autoregressive transformers with linear attention","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Katharopoulos"},{"key":"ref40","article-title":"Longformer: The long-document transformer","author":"Beltagy","year":"2020","journal-title":"arXiv:2004.05150"},{"key":"ref41","article-title":"CosFormer: Rethinking softmax in attention","author":"Qin","year":"2022","journal-title":"arXiv:2202.08791"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00780"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/19\/10764799\/11040048.pdf?arnumber=11040048","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,11]],"date-time":"2025-07-11T17:43:51Z","timestamp":1752255831000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11040048\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/tim.2025.3580791","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"type":"print","value":"0018-9456"},{"type":"electronic","value":"1557-9662"}],"subject":[],"published":{"date-parts":[[2025]]}}}