{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T03:31:27Z","timestamp":1772940687224,"version":"3.50.1"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,2]]},"DOI":"10.1109\/icit.2019.8754956","type":"proceedings-article","created":{"date-parts":[[2019,7,4]],"date-time":"2019-07-04T18:14:55Z","timestamp":1562264095000},"page":"915-920","source":"Crossref","is-referenced-by-count":52,"title":["Temporal Convolutional Memory Networks for Remaining Useful Life Estimation of Industrial Machinery"],"prefix":"10.1109","author":[{"given":"Lahiru","family":"Jayasinghe","sequence":"first","affiliation":[]},{"given":"Tharaka","family":"Samarasinghe","sequence":"additional","affiliation":[]},{"given":"Chau","family":"Yuenv","sequence":"additional","affiliation":[]},{"given":"Jenny Chen","family":"Ni Low","sequence":"additional","affiliation":[]},{"given":"Shuzhi","family":"Sam Ge","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"ref11","article-title":"Deep learning and its applications to machine health monitoring: A survey","author":"zhao","year":"2016"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-32025-0_14"},{"key":"ref13","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"bai","year":"2018"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/PHM.2008.4711414"},{"key":"ref15","first-page":"1","article-title":"Review and analysis of algorithmic approaches developed for prognostics on cmapss dataset","volume":"5","author":"ramasso","year":"2014","journal-title":"Proc Annual Conference of the Prognostics and Health Management Society"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-1171-0_2"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2011.10.019"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/PHM.2008.4711423"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2582924"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/PHM.2008.4711422"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/00207540412331327727"},{"key":"ref6","first-page":"1863","article-title":"Autonomous detection of disruptions in the intensive care unit using deep mask R-CNN","author":"rohit malhotra","year":"2018","journal-title":"Proc IEEE Conference on Computer Vision and Pattern Recognition Workshops"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/72.279181"},{"key":"ref8","article-title":"RF-based direction finding of UAVs using DNN","author":"abeywickrama","year":"2017"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICIAS.2018.8540592"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCA.2006.886368"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPHM.2017.7998311"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICIT.2018.8352410"}],"event":{"name":"2019 IEEE International Conference on Industrial Technology (ICIT)","location":"Melbourne, Australia","start":{"date-parts":[[2019,2,13]]},"end":{"date-parts":[[2019,2,15]]}},"container-title":["2019 IEEE International Conference on Industrial Technology (ICIT)"],"original-title":[],"link":[{"URL":"https:\/\/linproxy.fan.workers.dev:443\/http\/xplorestaging.ieee.org\/ielx7\/8746085\/8754907\/08754956.pdf?arnumber=8754956","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,14]],"date-time":"2022-07-14T23:12:07Z","timestamp":1657840327000},"score":1,"resource":{"primary":{"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/ieeexplore.ieee.org\/document\/8754956\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2]]},"references-count":19,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.1109\/icit.2019.8754956","relation":{},"subject":[],"published":{"date-parts":[[2019,2]]}}}