{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T12:30:44Z","timestamp":1769776244388,"version":"3.49.0"},"reference-count":8,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,7,4]],"date-time":"2023-07-04T00:00:00Z","timestamp":1688428800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,4]],"date-time":"2023-07-04T00:00:00Z","timestamp":1688428800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001321","name":"National Research Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001321","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,7,4]]},"DOI":"10.1109\/icufn57995.2023.10201098","type":"proceedings-article","created":{"date-parts":[[2023,8,7]],"date-time":"2023-08-07T13:52:13Z","timestamp":1691416333000},"page":"222-224","source":"Crossref","is-referenced-by-count":1,"title":["Transmit Antenna Selection Using CNN-Based Multiclass Classification with Linear Interpolation of Wideband Channels"],"prefix":"10.1109","author":[{"given":"Jaehong","family":"Kim","sequence":"first","affiliation":[{"name":"Chung-Ang University,School of Electrical and Electronics Engineering,Seoul,South Korea,06974"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingon","family":"Joung","sequence":"additional","affiliation":[{"name":"Chung-Ang University,School of Electrical and Electronics Engineering,Seoul,South Korea,06974"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eui-Rim","family":"Jeong","sequence":"additional","affiliation":[{"name":"Hanbat National University,Department of Artificial Intelligence Software,Daejeon,South Korea,34158"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3177453"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2020.3036655"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2987068"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/e21050471"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2016.2594776"},{"key":"ref6","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume-title":"Proc. Mach. Learn. Res. (PMLR)","volume":"37","author":"Ioffe"},{"key":"ref7","first-page":"315","article-title":"Deep sparse rectifier neural networks","volume-title":"Proc. Mach. Learn. Res. (PMLR)","volume":"15","author":"Glorot"},{"key":"ref8","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from over-fitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"J. Mach. Learn. Res"}],"event":{"name":"2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)","location":"Paris, France","start":{"date-parts":[[2023,7,4]]},"end":{"date-parts":[[2023,7,7]]}},"container-title":["2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10199107\/10199171\/10201098.pdf?arnumber=10201098","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T21:14:58Z","timestamp":1769721298000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10201098\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,4]]},"references-count":8,"URL":"https:\/\/doi.org\/10.1109\/icufn57995.2023.10201098","relation":{},"subject":[],"published":{"date-parts":[[2023,7,4]]}}}