{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T23:12:59Z","timestamp":1771024379313,"version":"3.50.1"},"reference-count":12,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"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":[[2022,10,10]]},"DOI":"10.1109\/wimob55322.2022.9941706","type":"proceedings-article","created":{"date-parts":[[2022,11,15]],"date-time":"2022-11-15T15:44:11Z","timestamp":1668527051000},"page":"130-135","source":"Crossref","is-referenced-by-count":6,"title":["AI-based prediction for Ultra Reliable Low Latency service performance in industrial environments"],"prefix":"10.1109","author":[{"given":"Meriem","family":"Mhedhbi","sequence":"first","affiliation":[{"name":"Orange Innovation Networks,Chatillon,France"}]},{"given":"Salah","family":"Elayoubi","sequence":"additional","affiliation":[{"name":"Universit&#x00E9; Paris Saclay, CentraleSup&#x00E9;lec, CNRS, Laboratoire des Signaux et Syst&#x00E8;mes,Gif-Sur-Yvette,France"}]},{"given":"Galaad","family":"Leconte","sequence":"additional","affiliation":[{"name":"Universit&#x00E9; Paris Saclay, CentraleSup&#x00E9;lec, CNRS, Laboratoire des Signaux et Syst&#x00E8;mes,Gif-Sur-Yvette,France"}]}],"member":"263","reference":[{"key":"ref4","year":"2020","journal-title":"5G-ACIA Internal Technical Report &#x201C;Predictive Data Analytics for Industrial Automation"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58197-8_12"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2006.01.006"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2017.7996604"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/WiMOB.2019.8923609"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.23919\/INM.2017.7987345"},{"key":"ref12","year":"0","journal-title":"TS 23 288 Architecture enhancements for 5G System (5GS) to support network data analytics services"},{"key":"ref8","year":"2019","journal-title":"3GPP TR 38 901 V14 2 0 Study on channel model for frequencies from 0 5 to 100 GHz"},{"key":"ref7","first-page":"138","article-title":"Classifying flows and buffer state for Y ouTube's HTTP adaptive streaming service in mobile networks","author":"ksilimantos","year":"2018","journal-title":"Proc 9th ACM Multimedia Conference"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155422"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/49.585771"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2018.1701319"}],"event":{"name":"2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)","location":"Thessaloniki, Greece","start":{"date-parts":[[2022,10,10]]},"end":{"date-parts":[[2022,10,12]]}},"container-title":["2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9941349\/9941354\/09941706.pdf?arnumber=9941706","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T14:51:32Z","timestamp":1670856692000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9941706\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,10]]},"references-count":12,"URL":"https:\/\/doi.org\/10.1109\/wimob55322.2022.9941706","relation":{},"subject":[],"published":{"date-parts":[[2022,10,10]]}}}