{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T17:24:07Z","timestamp":1778347447796,"version":"3.51.4"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation (NSF) Award","doi-asserted-by":"publisher","award":["2119485"],"award-info":[{"award-number":["2119485"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Vermont Advanced Computing"},{"name":"NSF Award","award":["OAC-1827314"],"award-info":[{"award-number":["OAC-1827314"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3322370","type":"journal-article","created":{"date-parts":[[2023,10,5]],"date-time":"2023-10-05T17:48:26Z","timestamp":1696528106000},"page":"110260-110271","source":"Crossref","is-referenced-by-count":12,"title":["Anomaly Detection in Coastal Wireless Sensors via Efficient Deep Sequential Learning"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2639-5808","authenticated-orcid":false,"given":"Mustafa","family":"Matar","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, The University of Vermont, Burlington, VT, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4395-7350","authenticated-orcid":false,"given":"Tian","family":"Xia","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, The University of Maine, Orono, ME, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6285-3082","authenticated-orcid":false,"given":"Kimberly","family":"Huguenard","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, The University of Maine, Orono, ME, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0957-0574","authenticated-orcid":false,"given":"Dryver","family":"Huston","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, The University of Vermont, Burlington, VT, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5051-7719","authenticated-orcid":false,"given":"Safwan","family":"Wshah","sequence":"additional","affiliation":[{"name":"Department of Computer Science, The University of Vermont, Burlington, VT, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2008.06.003"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_5"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2528948"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00286"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2004.03.016"},{"key":"ref59","year":"2022","journal-title":"Bar Harbor ME&#x2014;Station ID 8413320 Tides & Currents"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/570738.570751"},{"key":"ref58","article-title":"Incremental network quantization: Towards lossless CNNs with low-precision weights","author":"zhou","year":"2017","journal-title":"arXiv 1702 03044"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2921977"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/3410992.3411005"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105610"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1145\/2820975.2820980"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1151690.1151692"},{"key":"ref54","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and Huffman coding","author":"han","year":"2015","journal-title":"arXiv 1510 00149 [cs]"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/1127777.1127813"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2005.1498475"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1049\/cp.2012.0608"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ISSNIP.2013.6529794"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623612"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3390\/math10040610"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.1999.791887"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2023.109160"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330680"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2022.108805"},{"key":"ref44","article-title":"Attention is all you need","volume":"30","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3017641"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3185996"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.micpro.2015.05.019"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.5121\/ijcses.2012.3103"},{"key":"ref9","first-page":"1","article-title":"How to prolong the lifetime of wireless sensor networks","author":"anastasi","year":"2006","journal-title":"Mobile Ad Hoc and Pervasive Communications"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2013.030713.00062"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10712-019-09531-1"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/S1389-1286(01)00302-4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2015.05.122"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2018.00207"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/AICAS57966.2023.10168670"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2020.01.005"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/WiSPNET.2016.7566401"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1023\/A:1016627727877"},{"key":"ref31","article-title":"LSTM-based encoder&#x2013;decoder for multi-sensor anomaly detection","author":"malhotra","year":"2016","journal-title":"arXiv 1607 00148"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1080\/09540091.2022.2078281"},{"key":"ref33","article-title":"Transformers in time series: A survey","author":"wen","year":"2022","journal-title":"arXiv 2202 07125"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3100509"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1029\/2018RG000636"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11625-008-0044-2"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/AINS.2018.8631436"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s11276-020-02527-5"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2007.368961"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/375663.375680"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.26599\/TST.2018.9010002"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2011.210"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1525856.1525857"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC.2013.6583769"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/jsan1030299"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-011-0234-x"},{"key":"ref27","article-title":"Learning to diagnose with LSTM recurrent neural networks","author":"lipton","year":"2015","journal-title":"arXiv 1511 03677"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/QRS-C.2018.00075"},{"key":"ref60","first-page":"1","article-title":"Random search for hyper-parameter optimization","volume":"13","author":"bergstra","year":"2012","journal-title":"J Mach Learn Res"},{"key":"ref62","author":"sayood","year":"2017","journal-title":"Introduction to Data Compression"},{"key":"ref61","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/6287639\/10005208\/10272343-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10272343.pdf?arnumber=10272343","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T19:45:42Z","timestamp":1699299942000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10272343\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":62,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3322370","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}