{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T13:33:19Z","timestamp":1765546399566,"version":"3.28.0"},"reference-count":18,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,9]]},"DOI":"10.1109\/isc2.2018.8656903","type":"proceedings-article","created":{"date-parts":[[2019,3,5]],"date-time":"2019-03-05T01:16:13Z","timestamp":1551748573000},"page":"1-7","source":"Crossref","is-referenced-by-count":9,"title":["Mobility Mode Detection Using WiFi Signals"],"prefix":"10.1109","author":[{"given":"Arash","family":"Kalatian","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bilal","family":"Farooq","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"Classification and Regression Trees","year":"1984","author":"breiman","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref12","first-page":"18","article-title":"Classification and regression by randomforest","volume":"2","author":"liaw","year":"2002","journal-title":"R News"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/5236.003.0018"},{"key":"ref14","article-title":"Nonlinear switching state-space models","author":"honkela","year":"2001","journal-title":"Master’s thesis"},{"journal-title":"R interface to keras","year":"2017","author":"chollet","key":"ref15"},{"article-title":"An investigation into machine learning approaches for forecasting spatio-temporal demand in ride-hailing service","year":"2017","author":"saadi","key":"ref16"},{"journal-title":"Travel times - bluetooth","year":"2014","key":"ref17"},{"key":"ref18","article-title":"Large-scale pedestrian movement analysis using a network of wi-fi sensors","author":"beaulieu","year":"2017","journal-title":"ITS World Congress 2017 Integrated Mobility Driving Smart Cities"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2093973.2093982"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ISWC.2008.4911579"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1007\/11853565_13","article-title":"Mobility detection using everyday gsm traces","author":"sohn","year":"2006","journal-title":"UbiComp 2006 Ubiquitous Computing"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2017.11.021"},{"key":"ref8","article-title":"Parsimonious mobility classification using gsm and wifi traces","author":"mun","year":"2008","journal-title":"Proceedings of the Fifth Workshop on Embedded Networked Sensors (HotEmNets)"},{"key":"ref7","first-page":"3008","article-title":"Travel mode detection exploiting cellular network data","volume":"81","author":"kalatian","year":"2016"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/1409635.1409677"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSENS.2015.7370450"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008280620621"}],"event":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","start":{"date-parts":[[2018,9,16]]},"location":"Kansas City, MO, USA","end":{"date-parts":[[2018,9,19]]}},"container-title":["2018 IEEE International Smart Cities Conference (ISC2)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8651074\/8656657\/08656903.pdf?arnumber=8656903","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T05:30:06Z","timestamp":1643261406000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8656903\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/isc2.2018.8656903","relation":{},"subject":[],"published":{"date-parts":[[2018,9]]}}}