{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:23:15Z","timestamp":1740169395840,"version":"3.37.3"},"reference-count":29,"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\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3519727","type":"journal-article","created":{"date-parts":[[2024,12,18]],"date-time":"2024-12-18T19:40:41Z","timestamp":1734550841000},"page":"195076-195084","source":"Crossref","is-referenced-by-count":0,"title":["A Few-Shot Learning for Predicting Radar Receiver Interference Response Based on Distillation Meta-Learning"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-1829-0806","authenticated-orcid":false,"given":"Lingyun","family":"Zhang","sequence":"first","affiliation":[{"name":"National Key Laboratory of Electromagnetic Effect and Security on Marine Equipment, China Ship Development and Design Center, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Tan","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Electromagnetic Effect and Security on Marine Equipment, China Ship Development and Design Center, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingliang","family":"Huang","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Electromagnetic Effect and Security on Marine Equipment, China Ship Development and Design Center, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1016\/j.oceaneng.2023.115359"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.3390\/jmse11112056"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1142\/S2301385024500274"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1109\/TEMC.2023.3261879"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1109\/TSMC.2022.3186610"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1007\/s11071-015-2571-6"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1002\/mmce.20878"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1109\/IMS30576.2020.9223873"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1109\/TMTT.2023.3241612"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1109\/TNNLS.2021.3054867"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1109\/TMTT.2022.3216864"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1109\/TVT.2019.2925562"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/JMMCT.2023.3242044"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1109\/IECON48115.2021.9589226"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1109\/TCSII.2021.3109973"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1109\/TMTT.2022.3200071"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1109\/TCPMT.2021.3071351"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1109\/TAES.2024.3370129"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1109\/TGRS.2021.3129645"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1609\/aaai.v36i10.21292"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/ICSPCC55723.2022.9984385"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/JSTSP.2021.3137028"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.3390\/electronics13010162"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1109\/TPAMI.2021.3079209"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.48550\/arXiv.1503.02531"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.18653\/v1\/D18-1232"},{"key":"ref27","article-title":"SoundNet: Learning sound representations from unlabeled video","author":"Aytar","year":"2016","journal-title":"arXiv:1610.09001"},{"key":"ref28","article-title":"Progressive reinforcement learning with distillation for multi-skilled motion control","author":"Berseth","year":"2018","journal-title":"arXiv:1802.04765"},{"key":"ref29","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"Bai","year":"2018","journal-title":"arXiv:1803.01271"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10806651.pdf?arnumber=10806651","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,14]],"date-time":"2025-01-14T20:05:20Z","timestamp":1736885120000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10806651\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3519727","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2024]]}}}