{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,10]],"date-time":"2025-06-10T18:08:31Z","timestamp":1749578911960,"version":"3.37.3"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100007458","name":"Qatar Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007458","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015278","name":"Mastercard Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100015278","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6]]},"DOI":"10.1109\/vtc2023-spring57618.2023.10200431","type":"proceedings-article","created":{"date-parts":[[2023,8,14]],"date-time":"2023-08-14T17:40:35Z","timestamp":1692034835000},"page":"1-5","source":"Crossref","is-referenced-by-count":6,"title":["Ubiquitous Transportation Mode Estimation using Limited Cell Tower Information"],"prefix":"10.1109","author":[{"given":"Sherif","family":"Mostafa","sequence":"first","affiliation":[{"name":"The American University in Cairo,Cairo,Egypt"}]},{"given":"Khaled A.","family":"Harras","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University,Doha,Qatar"}]},{"given":"Moustafa","family":"Youssef","sequence":"additional","affiliation":[{"name":"The American University in Cairo,Cairo,Egypt"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s41019-020-00151-z"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/sahcn.2014.6990394"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1653771.1653842"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3085575"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00152"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2093973.2093982"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3410530.3414341"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3389189.3397996"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/1689239.1689243"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1080\/01441640309893"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1460412.1460444"},{"volume-title":"Penetration rate of smartphones in selected countries 2021. Statista","key":"ref12"},{"article-title":"29+ smartphone usage statistics: Around the world in 2022","volume-title":"Leftronic","author":"Marko","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2525314.2525338"},{"key":"ref15","first-page":"1","article-title":"An analysis of power consumption in a smartphone","volume-title":"USENIX Annu. Tech. Conf.","author":"Carroll"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICC42927.2021.9500753"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3351283"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/11853565_13"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2020.3041424"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/VTCSpring.2015.7146124"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3347146.3359065"},{"issue":"1","key":"ref22","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"J. Mach. Learn. Res."},{"key":"ref23","first-page":"3882","article-title":"Phased LSTM: Accelerating recurrent network training for long or event-based sequences","volume-title":"Proc. Adv. Neural Inf. Process. Syst","volume":"29","author":"Neil"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2858933"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2890793"}],"event":{"name":"2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)","start":{"date-parts":[[2023,6,20]]},"location":"Florence, Italy","end":{"date-parts":[[2023,6,23]]}},"container-title":["2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10199114\/10199145\/10200431.pdf?arnumber=10200431","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T16:47:11Z","timestamp":1709311631000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10200431\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/vtc2023-spring57618.2023.10200431","relation":{},"subject":[],"published":{"date-parts":[[2023,6]]}}}