{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T18:56:38Z","timestamp":1770749798841,"version":"3.50.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,31]],"date-time":"2021-10-31T00:00:00Z","timestamp":1635638400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,31]],"date-time":"2021-10-31T00:00:00Z","timestamp":1635638400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,31]],"date-time":"2021-10-31T00:00:00Z","timestamp":1635638400000},"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":[[2021,10,31]]},"DOI":"10.1109\/isncc52172.2021.9615824","type":"proceedings-article","created":{"date-parts":[[2021,11,25]],"date-time":"2021-11-25T15:32:15Z","timestamp":1637854335000},"page":"1-6","source":"Crossref","is-referenced-by-count":3,"title":["Adaptive Learning on Fog-Cloud Collaborative Architecture for Stream Data Processing"],"prefix":"10.1109","author":[{"given":"Nawaf","family":"Abdulla","sequence":"first","affiliation":[]},{"given":"Mehmet","family":"Demirci","sequence":"additional","affiliation":[]},{"given":"Suat","family":"Ozdemir","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.09.039"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2682640"},{"key":"ref12","first-page":"1","article-title":"Mobile edge computing—a key technology towards 5g","volume":"11","author":"hu","year":"2015","journal-title":"ETSI White Paper"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/AINA.2015.254"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/3PGCIC.2015.85"},{"key":"ref15","first-page":"201","article-title":"A study on adaptive learning model for performance improvement of stream analytics","volume":"8","author":"ku","year":"2018","journal-title":"Information Technology Convergence"},{"key":"ref16","first-page":"597","article-title":"Active learning with evolving streaming data","author":"\u017eliobait?","year":"2011","journal-title":"Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases"},{"key":"ref17","first-page":"5","article-title":"Classifier ensembles for detecting concept change in streaming data: Overview and perspectives","volume":"2008","author":"kuncheva","year":"2008","journal-title":"2nd Workshop SUEMA"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2670979.2670995"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-017-0449-x"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/RAIT.2018.8389043"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.iot.2020.100177"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MCE.2017.2684981"},{"key":"ref5","article-title":"Fog computing: a new approach in the world of cloud computing","volume":"49","author":"deshmukh","year":"2016","journal-title":"Instrum Technol"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"804","DOI":"10.1016\/j.procs.2017.11.440","article-title":"Concept drift in streaming data classification: algorithms, platforms and issues","volume":"122","author":"mehta","year":"2017","journal-title":"Procedia Computer Science"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2408736.2408746"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/iot2010006"},{"key":"ref1","first-page":"3","article-title":"Industry 4.0 and manufacturing ecosystems: Exploring the world of connected enterprises","volume":"1","author":"sniderman","year":"2016","journal-title":"Deloitte Consulting"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/FWC.2017.8368537"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2012.147"},{"key":"ref22","year":"2021","journal-title":"Apache SPARK"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1109\/JIOT.2020.3003922","article-title":"Deepmdp: A novel deep-learning-based missing data prediction protocol for iot","volume":"8","author":"k\u00f6k","year":"2020","journal-title":"IEEE Internet of Things Journal"}],"event":{"name":"2021 International Symposium on Networks, Computers and Communications (ISNCC)","location":"Dubai, United Arab Emirates","start":{"date-parts":[[2021,10,31]]},"end":{"date-parts":[[2021,11,2]]}},"container-title":["2021 International Symposium on Networks, Computers and Communications (ISNCC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9615623\/9615626\/09615824.pdf?arnumber=9615824","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T12:52:47Z","timestamp":1652187167000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9615824\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,31]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/isncc52172.2021.9615824","relation":{},"subject":[],"published":{"date-parts":[[2021,10,31]]}}}