{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T04:17:46Z","timestamp":1727410666124},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,24]],"date-time":"2024-06-24T00:00:00Z","timestamp":1719187200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,24]],"date-time":"2024-06-24T00:00:00Z","timestamp":1719187200000},"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":[[2024,6,24]]},"DOI":"10.1109\/vtc2024-spring62846.2024.10683434","type":"proceedings-article","created":{"date-parts":[[2024,9,25]],"date-time":"2024-09-25T17:28:12Z","timestamp":1727285292000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["Enhanced Semi-Supervised Radar Emitter Identification via Virtual Adversarial Training"],"prefix":"10.1109","author":[{"given":"Hong","family":"Wan","sequence":"first","affiliation":[{"name":"College of Telecommunications and Information Engineering, NJUPT,Nanjing,China"}]},{"given":"Ziqin","family":"Feng","sequence":"additional","affiliation":[{"name":"College of Telecommunications and Information Engineering, NJUPT,Nanjing,China"}]},{"given":"Qianyun","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Technology, Beihang University,Beijing,China"}]},{"given":"Yu","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Telecommunications and Information Engineering, NJUPT,Nanjing,China"}]},{"given":"Xue","family":"Fu","sequence":"additional","affiliation":[{"name":"College of Telecommunications and Information Engineering, NJUPT,Nanjing,China"}]},{"given":"Yun","family":"Lin","sequence":"additional","affiliation":[{"name":"College of Information and Communication Engineering, Harbin Engineering University,Harbin,China"}]},{"given":"Fumiyuki","family":"Adachi","sequence":"additional","affiliation":[{"name":"International Research Institute of Disaster Science (IRIDeS), Tohoku University,Sendai,Japan"}]},{"given":"Guan","family":"Gui","sequence":"additional","affiliation":[{"name":"College of Telecommunications and Information Engineering, NJUPT,Nanjing,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/IAEAC.2018.8577703"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2021.3074129"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2023.3337543"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/RADAR.2018.8378572"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.1900476"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3091523"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2911347"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2925569"},{"key":"ref9","first-page":"473","article-title":"Radar emitter type identification effect based on different structural deep feedforward networks","volume-title":"Proc. 2020 13th Int. Congr. Image Signal Process.","author":"Wang","year":"2020"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/WiDS-PSU54548.2022.00022"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2021.3084043"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/WCSP55476.2022.10039094"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2020.3024610"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.cja.2021.08.016"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3164935"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/6309958"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3281668"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2023.3337543"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3343193"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2021.3075880"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3281668"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3087243"},{"key":"ref23","first-page":"1","article-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","volume-title":"Proc. ICML Workshop: Challenges in Representation Learning","author":"Lee"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2021.3067916"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2020.2992128"}],"event":{"name":"2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)","start":{"date-parts":[[2024,6,24]]},"location":"Singapore, Singapore","end":{"date-parts":[[2024,6,27]]}},"container-title":["2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10682988\/10682819\/10683434.pdf?arnumber=10683434","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,26]],"date-time":"2024-09-26T06:35:28Z","timestamp":1727332528000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10683434\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,24]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/vtc2024-spring62846.2024.10683434","relation":{},"subject":[],"published":{"date-parts":[[2024,6,24]]}}}