{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T09:52:08Z","timestamp":1762509128501,"version":"3.37.0"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"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":["IEEE J. Sel. Top. Signal Process."],"published-print":{"date-parts":[[2024,7]]},"DOI":"10.1109\/jstsp.2024.3388930","type":"journal-article","created":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T17:29:10Z","timestamp":1714584550000},"page":"796-811","source":"Crossref","is-referenced-by-count":6,"title":["Object Trajectory Estimation With Continuous-Time Neural Dynamic Learning of Millimeter-Wave Wi-Fi"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9713-2784","authenticated-orcid":false,"given":"Cristian J.","family":"Vaca-Rubio","sequence":"first","affiliation":[{"name":"Department of Electronic Systems, Aalborg University, Aalborg, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4718-3102","authenticated-orcid":false,"given":"Pu","family":"Wang","sequence":"additional","affiliation":[{"name":"Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2578-5372","authenticated-orcid":false,"given":"Toshiaki","family":"Koike-Akino","sequence":"additional","affiliation":[{"name":"Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5220-1830","authenticated-orcid":false,"given":"Ye","family":"Wang","sequence":"additional","affiliation":[{"name":"Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1369-0947","authenticated-orcid":false,"given":"Petros","family":"Boufounos","sequence":"additional","affiliation":[{"name":"Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6195-4797","authenticated-orcid":false,"given":"Petar","family":"Popovski","sequence":"additional","affiliation":[{"name":"Department of Electronic Systems, Aalborg University, Aalborg, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10096474"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11276-006-0725-7"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2007.42"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2012.214"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2940368"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2015.7127718"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2016.2545523"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2749516"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2956952"},{"article-title":"A CNN-LSTM quantifier for single access point CSI indoor localization","year":"2020","author":"Hoang","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/s20133767"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/PLANS46316.2020.9109805"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/501"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746071"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/infocom.2018.8486232"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/globecom38437.2019.9013466"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/globecom38437.2019.9014103"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2991129"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9348144"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/GCWkshps50303.2020.9367535"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3190826"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3498361.3538920"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICC45855.2022.9839011"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2009.2029191"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2016.2558659"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2688362"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2903487"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/PLANS.2008.4569985"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/PLANS46316.2020.9109802"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref31","article-title":"Neural ordinary differential equations","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Chen","year":"2018"},{"key":"ref32","article-title":"Latent ordinary differential equations for irregularly-sampled time series","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Rubanova","year":"2019"},{"key":"ref33","first-page":"4370","article-title":"Learning differential equations that are easy to solve","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Kelly","year":"2020"},{"key":"ref34","first-page":"3154","article-title":"How to train your neural ODE: The world of Jacobian and kinetic regularization","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Finlay","year":"2020"},{"key":"ref35","first-page":"27527","article-title":"On numerical integration in neural ordinary differential equations","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhu","year":"2022"},{"key":"ref36","first-page":"7712","article-title":"Improving neural ordinary differential equations with Nesterov\u2019s accelerated gradient method","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Nguyen","year":"2022"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i6.25854"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3073878"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2870160"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-54042-9_57"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/SAHCN.2018.8397121"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2933921"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2018.2871165"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2017.7925882"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3143361.3143384"},{"article-title":"Auto-encoding variational Bayes","year":"2013","author":"Kingma","key":"ref46"},{"article-title":"Talon tools: The framework for practical IEEE 802.11ad research","year":"2018","author":"Steinmetzer","key":"ref47"},{"article-title":"Nexmon: The C-based firmware patching framework","year":"2017","author":"Schulz","key":"ref48"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC51858.2021.9593158"}],"container-title":["IEEE Journal of Selected Topics in Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4200690\/10832396\/10516689.pdf?arnumber=10516689","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,6]],"date-time":"2025-02-06T18:41:04Z","timestamp":1738867264000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10516689\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7]]},"references-count":49,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/jstsp.2024.3388930","relation":{},"ISSN":["1932-4553","1941-0484"],"issn-type":[{"type":"print","value":"1932-4553"},{"type":"electronic","value":"1941-0484"}],"subject":[],"published":{"date-parts":[[2024,7]]}}}