{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T02:23:38Z","timestamp":1771035818918,"version":"3.50.1"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3028967","type":"journal-article","created":{"date-parts":[[2020,10,6]],"date-time":"2020-10-06T19:32:23Z","timestamp":1602012743000},"page":"183051-183070","source":"Crossref","is-referenced-by-count":19,"title":["A Cooperative Multi-Agent System for Crowd Sensing Based Estimation in Smart Cities"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6865-1833","authenticated-orcid":false,"given":"Davide Andrea","family":"Guastella","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4768-2710","authenticated-orcid":false,"given":"Valerie","family":"Camps","sequence":"additional","affiliation":[]},{"given":"Marie-Pierre","family":"Gleizes","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2014.6710071"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/SCVT.2013.6735994"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-6849-3"},{"key":"ref32","doi-asserted-by":"crossref","DOI":"10.1515\/9780691218632","author":"hamilton","year":"1994","journal-title":"Time Series Analysis"},{"key":"ref31","author":"witten","year":"2011","journal-title":"Data Mining Practical Machine Learning Tools and Techniques"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/88.3.793"},{"key":"ref37","author":"guastella","year":"2020","journal-title":"HybridIoT Demo"},{"key":"ref36","year":"2020","journal-title":"Lean ICT Towards Digital Sobriety"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/BF01025868"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1029\/2005JC003051"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59480-4_48"},{"key":"ref11","first-page":"523","article-title":"Estimating missing environmental information by contextual data cooperation","author":"guastella","year":"0","journal-title":"Principles and Practice of Multi-Agent Systems"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.5220\/0007381902140223"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/s18020460"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-017-2989-5"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOMW.2015.7179453"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2016.37"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/WoWMoM.2018.8449761"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2831228"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-17348-6_9"},{"key":"ref28","first-page":"650","article-title":"Modeling for optimal probability prediction","author":"wang","year":"2002","journal-title":"Proc 19th Int Conf Mach Learn"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.bdr.2018.05.006"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-2070(00)00080-7"},{"key":"ref3","year":"2017","journal-title":"Guide to the Environmental Information Regulations"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/s18041212"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/0003-2670(96)00202-4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.suscom.2017.12.001"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10422-5_33"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2921879"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3007748.3018286"},{"key":"ref9","author":"wooldridge","year":"2009","journal-title":"An Introduction to Multiagent Systems"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/ett.2704"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-59140-581-8.ch007"},{"key":"ref22","year":"2017","journal-title":"Planet dump"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/RTSI.2018.8548454"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1109\/ICDAR.1995.598994","article-title":"Random decision forests","volume":"1","author":"kam ho","year":"1995","journal-title":"Proc 3rd Int Conf Document Anal Recognition"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1656274.1656280"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1013203451"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1142\/S021848859800015X"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09214399.pdf?arnumber=9214399","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T01:08:52Z","timestamp":1641949732000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9214399\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3028967","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}