{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T09:30:44Z","timestamp":1775035844995,"version":"3.50.1"},"reference-count":10,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T00:00:00Z","timestamp":1769731200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T00:00:00Z","timestamp":1769731200000},"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":[],"published-print":{"date-parts":[[2026,1,30]]},"DOI":"10.1109\/cnml68938.2026.11452405","type":"proceedings-article","created":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T19:49:32Z","timestamp":1774986572000},"page":"1154-1157","source":"Crossref","is-referenced-by-count":0,"title":["Transfer Learning for Remaining Useful Life Prediction with Irregular Time-Series under Small-Sample and Right-Censored Conditions: An Application to Avionics Systems"],"prefix":"10.1109","author":[{"given":"Jinhe","family":"Yu","sequence":"first","affiliation":[{"name":"Naval Aviation University,School of Shore Defense,Yantai,China,264001"}]},{"given":"Jianyin","family":"Zhao","sequence":"additional","affiliation":[{"name":"Naval Aviation University,School of Shore Defense,Yantai,China,264001"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2025.111958"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2025.3592788"},{"key":"ref3","article-title":"Causal inference\u2013based transfer learning with LLMs: An efficient framework for industrial RUL prediction","author":"Chen","year":"2025"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.36001\/ijphm.2025.v16i2.4260"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/pr13123962"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.mlwa.2025.100704"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/batteries11120459"},{"key":"ref8","article-title":"Data-driven RUL prediction under censoring and irregular samples","author":"Noot","year":"2025","journal-title":"International Journal of Prognostics and Health Management"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.3056"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"32340","DOI":"10.1038\/s41598-025-17610-0","article-title":"Deep learning with spatial attention and dilated CNN for remaining useful life prediction","volume":"15","author":"Chen","year":"2025","journal-title":"Scientific Reports"}],"event":{"name":"2026 International Conference on Communication Networks and Machine Learning (CNML)","location":"Chongqing, China","start":{"date-parts":[[2026,1,30]]},"end":{"date-parts":[[2026,2,1]]}},"container-title":["2026 International Conference on Communication Networks and Machine Learning (CNML)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11452215\/11452251\/11452405.pdf?arnumber=11452405","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T06:42:08Z","timestamp":1775025728000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11452405\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,30]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/cnml68938.2026.11452405","relation":{},"subject":[],"published":{"date-parts":[[2026,1,30]]}}}