{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T18:11:29Z","timestamp":1760033489806,"version":"build-2065373602"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"20","license":[{"start":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T00:00:00Z","timestamp":1760486400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T00:00:00Z","timestamp":1760486400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T00:00:00Z","timestamp":1760486400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000923","name":"Australian Research Council (ARC) through the Discovery Project","doi-asserted-by":"publisher","award":["DP220101420"],"award-info":[{"award-number":["DP220101420"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2025,10,15]]},"DOI":"10.1109\/jiot.2025.3595556","type":"journal-article","created":{"date-parts":[[2025,8,4]],"date-time":"2025-08-04T18:46:34Z","timestamp":1754333194000},"page":"42352-42363","source":"Crossref","is-referenced-by-count":0,"title":["DeepMetaIoT: A Multimodal Deep Learning Framework Harnessing Metadata for IoT Sensor Data Classification"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4765-9542","authenticated-orcid":false,"given":"Muhammad Sakib Khan","family":"Inan","sequence":"first","affiliation":[{"name":"Deakin University, Burwood, VIC, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0371-6525","authenticated-orcid":false,"given":"Kewen","family":"Liao","sequence":"additional","affiliation":[{"name":"Deakin University, Burwood, VIC, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8221-981X","authenticated-orcid":false,"given":"Haifeng","family":"Shen","sequence":"additional","affiliation":[{"name":"Southern Cross University, Lismore, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4500-3443","authenticated-orcid":false,"given":"Prem Prakash","family":"Jayaraman","sequence":"additional","affiliation":[{"name":"Swinburne University of Technology, Hawthorn, VIC, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9943-4209","authenticated-orcid":false,"given":"Federico","family":"Montori","sequence":"additional","affiliation":[{"name":"University of Bologna, Bologna, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7880-2140","authenticated-orcid":false,"given":"Dimitrios","family":"Georgakopoulos","sequence":"additional","affiliation":[{"name":"Swinburne University of Technology, Hawthorn, VIC, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-020-0285-1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CIC50333.2020.00012"},{"volume-title":"Unlocking the potential of the Internet of Things.","year":"2015","author":"Manyika","key":"ref3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3560905.3567766"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2018.06.003"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2012.05.003"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-017-1010-8"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806574"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MDM48529.2020.00042"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s41060-023-00413-9"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3533049"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/WF-IoT51360.2021.9594994"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3263213"},{"key":"ref14","first-page":"1","article-title":"Deriving semantic sensor metadata from raw measurements","volume-title":"Proc. 5th Int. Workshop Semantic Sens. Netw.","author":"Calbimonte"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-02925-8_15"},{"key":"ref16","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018","journal-title":"arXiv:1810.04805"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11023-020-09548-1"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-023-02135-w"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-007-0064-z"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2019.00255"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-63989-0_6"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2020.2990566"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2821650.2821670"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2821650.2821667"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2020.103411"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-016-0483-9"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-019-00619-1"},{"key":"ref28","first-page":"1","article-title":"A time series is worth 64 words: Long-term forecasting with transformers","volume-title":"Proc. 11th Int. Conf. Learn. Represent.","author":"Nie"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599533"},{"key":"ref30","first-page":"1","article-title":"One fits all: Power general time series analysis by pretrained LM","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"36","author":"Zhou"},{"key":"ref31","first-page":"9694","article-title":"Align before fuse: Vision and language representation learning with momentum distillation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Li"},{"key":"ref32","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Radford"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3543848"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2021.06.003"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2018.07.007"},{"key":"ref36","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/D19-1410","article-title":"Sentence-BERT: Sentence embeddings using siamese BERT-networks","volume-title":"Proc. Conf. Empir. Methods Nat. Lang. Process.","author":"Reimers"},{"key":"ref37","first-page":"5776","article-title":"MiniLM: Deep self-attention distillation for task-agnostic compression of pre-trained transformers","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Wang"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"volume-title":"Deep Learning","year":"2016","author":"Goodfellow","key":"ref39"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-020-00710-y"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.5555\/3104322.3104425"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3390\/s21175834"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3204949.3204972"},{"key":"ref44","article-title":"AutoGluon-multimodal (AutoMM): Supercharging multimodal AutoML with foundation models","author":"Tang","year":"2024","journal-title":"arXiv:2404.16233"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref46","article-title":"DistilBERT, a distilled version of BERT: Smaller, faster, cheaper and lighter","author":"Sanh","year":"2019","journal-title":"arXiv:1910.01108"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3443141"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.icte.2017.12.005"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2948888"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/3331651.3331653"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11197149\/11112691.pdf?arnumber=11112691","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T17:55:44Z","timestamp":1760032544000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11112691\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,15]]},"references-count":51,"journal-issue":{"issue":"20"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2025.3595556","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"type":"electronic","value":"2327-4662"},{"type":"electronic","value":"2372-2541"}],"subject":[],"published":{"date-parts":[[2025,10,15]]}}}