{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T06:08:59Z","timestamp":1760854139188,"version":"3.28.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"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":[[2020,6]]},"DOI":"10.1109\/seconworkshops50264.2020.9149774","type":"proceedings-article","created":{"date-parts":[[2020,7,28]],"date-time":"2020-07-28T21:37:09Z","timestamp":1595972229000},"page":"1-6","source":"Crossref","is-referenced-by-count":3,"title":["Forecasting Crowd Distribution in Smart Cities"],"prefix":"10.1109","author":[{"given":"Alket","family":"Cecaj","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco","family":"Lippi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco","family":"Mamei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Franco","family":"Zambonelli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-019-00619-1"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/PIMRC.2017.8292737"},{"article-title":"Forecasting: Principles and practice","year":"2018","author":"hyndman","key":"ref12"},{"article-title":"Sequence to sequence learning with neural networks","year":"2014","author":"sutskever","key":"ref13"},{"key":"ref14","first-page":"447","article-title":"Neural networks for time series processing","volume":"6","author":"dorffner","year":"1996","journal-title":"Neural Network World"},{"article-title":"Deep learning for time-series analysis","year":"2017","author":"gamboa","key":"ref15"},{"article-title":"Modeling the temporal nature of human behavior for demographics prediction","year":"2015","author":"felbo","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.2991\/icaita-16.2016.24"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210077"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0191939"},{"key":"ref28","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v30i1.10179","article-title":"Deep neural networks for learning graph representations","author":"cao","year":"2016","journal-title":"AAAI"},{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.1126\/science.1177170","article-title":"Limits of predictabilityin human mobility","volume":"327","author":"song","year":"2010","journal-title":"Science"},{"key":"ref27","article-title":"Predicting city wide crowd flows using deep spatio-temporal residual networks","author":"zhang","year":"2017","journal-title":"CoRR"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/WoWMoM.2016.7523554"},{"article-title":"A new insight into land use classification based on aggregated mobile phone data","year":"2013","author":"pei","key":"ref6"},{"article-title":"Inferring landuse from mobile phone activity","year":"2012","author":"toole","key":"ref5"},{"key":"ref8","article-title":"Deepspace: An online deep learning framework for mobile big data to understand human mobility patterns","author":"ouyang","year":"2016","journal-title":"CoRR"},{"key":"ref7","article-title":"Modeling long- and short-term temporal patterns with deep neural networks","author":"lai","year":"2017","journal-title":"CoRR"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2015.1127378"},{"key":"ref9","article-title":"Deep learning for spatio-temporal data mining: A survey","author":"wang","year":"2019","journal-title":"CoRR"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1140\/epjds\/s13688-015-0040-6"},{"article-title":"Forecasting crime with deep learning","year":"2018","author":"stec","key":"ref20"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330672"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3341162.3349319"},{"article-title":"Deep forecast: Deep learning based spatio temporal forecasting","year":"2017","author":"ghaderi","key":"ref24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-24271-9"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2996913.2997016"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2019.08.010"}],"event":{"name":"2020 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","start":{"date-parts":[[2020,6,22]]},"location":"Como, Italy","end":{"date-parts":[[2020,6,26]]}},"container-title":["2020 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9143320\/9149768\/09149774.pdf?arnumber=9149774","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,4]],"date-time":"2022-11-04T22:30:27Z","timestamp":1667601027000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9149774\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/seconworkshops50264.2020.9149774","relation":{},"subject":[],"published":{"date-parts":[[2020,6]]}}}