{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T15:33:58Z","timestamp":1774539238750,"version":"3.50.1"},"reference-count":37,"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":[{"name":"Ministry of Enterprises and Made in Italy"},{"name":"European Union - Next Generation EU"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2025,10,15]]},"DOI":"10.1109\/jiot.2025.3603739","type":"journal-article","created":{"date-parts":[[2025,8,28]],"date-time":"2025-08-28T18:10:40Z","timestamp":1756404640000},"page":"41538-41549","source":"Crossref","is-referenced-by-count":1,"title":["Deep at the Edge: AI-Driven Signal Compression for Structural Health Monitoring in Symbiotic IoT Systems"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3198-7306","authenticated-orcid":false,"given":"Igor","family":"Bisio","sequence":"first","affiliation":[{"name":"DITEN Department, University of Genoa, Genoa, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6107-2484","authenticated-orcid":false,"given":"Chiara","family":"Garibotto","sequence":"additional","affiliation":[{"name":"DITEN Department and and the RAISE Ecosystem, University of Genoa, Genoa, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3692-4021","authenticated-orcid":false,"given":"Fabio","family":"Lavagetto","sequence":"additional","affiliation":[{"name":"DITEN Department and and the RAISE Ecosystem, University of Genoa, Genoa, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7023-2710","authenticated-orcid":false,"given":"Andrea","family":"Sciarrone","sequence":"additional","affiliation":[{"name":"DITEN Department and and the RAISE Ecosystem, University of Genoa, Genoa, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-6115-1696","authenticated-orcid":false,"given":"Matteo","family":"Zerbino","sequence":"additional","affiliation":[{"name":"DITEN Department, University of Genoa, Genoa, Italy"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3126076"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3289491"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2023.3281460"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-8176-4948-7"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3390803"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3411296"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM38437.2019.9013373"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2023.3285784"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1017\/9781108380690"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ESSCIRC.2013.6649062"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2006.871582"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2007.914731"},{"key":"ref13","doi-asserted-by":"crossref","DOI":"10.1016\/j.ymssp.2024.111168","article-title":"Deep learning-based sparsity-free compressive sensing method for high accuracy structural vibration response reconstruction","volume":"211","author":"An","year":"2024","journal-title":"Mech. Syst. Signal Process."},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3366899"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3316487"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3388461"},{"issue":"7","key":"ref17","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1016\/j.ijar.2008.11.006","article-title":"Semantic hashing","volume":"50","author":"Salakhutdinov","year":"2009","journal-title":"Int. J. Approx. Reason."},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587633"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2961369"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3472044"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICEEE59925.2023.00027"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2024.3414604"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3201342"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3300073"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3365550"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ISCC61673.2024.10733602"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/AICAS54282.2022.9869952"},{"issue":"3","key":"ref29","doi-asserted-by":"crossref","DOI":"10.1061\/(ASCE)BE.1943-5592.0001668","article-title":"Monitoring railway bridge KW51 before, during, and after retrofitting","volume":"26","author":"Maes","year":"2021","journal-title":"J. Bridge Eng."},{"key":"ref30","volume-title":"Monitoring data for railway bridge kw51 in Leuven, Belgium, before, during, and after retrofitting","author":"Maes","year":"2020"},{"key":"ref31","doi-asserted-by":"crossref","DOI":"10.1016\/j.cviu.2022.103491","article-title":"An asymmetrical-structure auto-encoder for unsupervised representation learning of skeleton sequences","volume":"222","author":"Zhou","year":"2022","journal-title":"Computer Vision and Image Understanding"},{"key":"ref32","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2023.107322","article-title":"A novel asymmetrical autoencoder with a sparsifying discrete cosine stockwell transform layer for gearbox sensor data compression","volume":"127","author":"Zhu","year":"2024","journal-title":"Eng. Appl. Artif. Intell."},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref34","first-page":"1","article-title":"Multi-scale context aggregation by dilated convolutions","volume-title":"Proc. 4th Int. Conf. Learn. Represent.","author":"Yu"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/B978-0-12-381479-1.00002-2","article-title":"2\u2014Getting to know your data","volume-title":"Data Mining","author":"Han","year":"2012"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ECS.2015.7125006"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICOIN48656.2020.9016490"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11197149\/11143206.pdf?arnumber=11143206","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T17:56:08Z","timestamp":1760032568000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11143206\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,15]]},"references-count":37,"journal-issue":{"issue":"20"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2025.3603739","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,15]]}}}