{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T17:49:49Z","timestamp":1772905789756,"version":"3.50.1"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Institute of Information & Communications Technology Planning & Evaluation (IITP) funded by the Korean Government [Ministry of Science and ICT (MSIT)]"},{"name":"Development of 5G+ Intelligent Basestation Software Modem","award":["2021-0-00165"],"award-info":[{"award-number":["2021-0-00165"]}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea (NRF) funded by the Korean Government","doi-asserted-by":"publisher","award":["2021R1A2C2095289"],"award-info":[{"award-number":["2021R1A2C2095289"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3314167","type":"journal-article","created":{"date-parts":[[2023,9,11]],"date-time":"2023-09-11T18:12:59Z","timestamp":1694455979000},"page":"100810-100822","source":"Crossref","is-referenced-by-count":7,"title":["Intelligent Index Classification Method Based on Machine Learning for Detection of Reference Signal in 5G Networks"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5538-7826","authenticated-orcid":false,"given":"Seungwoo","family":"Kang","sequence":"first","affiliation":[{"name":"Department of Computer Science, Chungbuk National University, Cheongju, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2384-1916","authenticated-orcid":false,"given":"Taegyeom","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Chungbuk National University, Cheongju, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jongseok","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Chungbuk National University, Cheongju, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3696-0893","authenticated-orcid":false,"given":"A-Reum-Saem","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Chungbuk National University, Cheongju, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4262-6063","authenticated-orcid":false,"given":"Juyeop","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Electronics Engineering, Sookmyung Women's University, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8444-2786","authenticated-orcid":false,"given":"Ohyun","family":"Jo","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Chungbuk National University, Cheongju, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/GPECOM55404.2022.9815811"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CCNC49032.2021.9369521"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3140019"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CCNC46108.2020.9045527"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2017.8254568"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCT50939.2020.9295747"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3166546"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2020.3047809"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2017.2757490"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMLCN.2023.3270131"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3169900"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2980285"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/9781119057246"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MP.2004.1343223"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2012.6288496"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/APS.2013.6711711"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2014.6815912"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3094667"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2018.8646490"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCE.2016.100"},{"key":"ref21","volume-title":"ML-Based DMRS Singal Analysis","year":"2023"},{"key":"ref22","article-title":"Min-mid-max scaling, limits of agreement, and agreement score","author":"Safak","year":"2020","journal-title":"arXiv:2006.12904"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1002\/wics.101"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/21.97458"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1177\/154405910408300516"},{"key":"ref26","first-page":"1310","article-title":"A review of supervised machine learning algorithms","volume-title":"Proc. 3rd Int. Conf. Comput. Sustain. Global Develop. (INDIACom)","author":"Singh"},{"key":"ref27","first-page":"148","article-title":"Experiments with a new boosting algorithm","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"96","author":"Freund"},{"key":"ref28","first-page":"3146","article-title":"LightGBM: A highly efficient gradient boosting decision tree","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Ke"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1249"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2984060"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2962617"},{"key":"ref32","article-title":"On empirical comparisons of optimizers for deep learning","author":"Choi","year":"2019","journal-title":"arXiv:1910.05446"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2020.03.340"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1710.05941"},{"key":"ref35","first-page":"1995","article-title":"Convolutional networks for images, speech, and time series","volume":"3361","author":"LeCun","year":"1995","journal-title":"The Handbook of Brain Theory and Neural Networks"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10247000.pdf?arnumber=10247000","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T01:04:27Z","timestamp":1709341467000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10247000\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3314167","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}