{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:03:05Z","timestamp":1740099785318,"version":"3.37.3"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,30]],"date-time":"2020-10-30T00:00:00Z","timestamp":1604016000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,30]],"date-time":"2020-10-30T00:00:00Z","timestamp":1604016000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,30]],"date-time":"2020-10-30T00:00:00Z","timestamp":1604016000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100009000","name":"National Defense Pre-Research Foundation of China","doi-asserted-by":"publisher","award":["41401020401,41401050102"],"award-info":[{"award-number":["41401020401,41401050102"]}],"id":[{"id":"10.13039\/501100009000","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10,30]]},"DOI":"10.1109\/icnsc48988.2020.9238105","type":"proceedings-article","created":{"date-parts":[[2020,11,4]],"date-time":"2020-11-04T21:14:02Z","timestamp":1604524442000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["A Deep Learning Approach to Large-Scale Light Curve Prediction and Real-Time Anomaly Detection with Grubbs Criterion"],"prefix":"10.1109","author":[{"given":"Xiaodong","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Bi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haitao","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1093\/mnras\/128.4.295"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729885"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.57"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.5194\/gmd-7-1247-2014"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/32.403791"},{"journal-title":"Technical Analysis From A to Z","year":"2001","author":"achelis","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v022.i08"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2745450"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2019.2895801"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICNSC.2019.8743188"},{"key":"ref4","first-page":"117","article-title":"An Improved Dropout-Based Recurrent Neural Networks for Large-Scale Light Curve Time Series Prediction","author":"lu","year":"2018","journal-title":"5th IEEE International Conference on Cloud Computing and Intelligence Systems"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.12.027"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICNSC.2019.8743188"},{"key":"ref8","first-page":"1929","article-title":"Dropout: A Simple Way to Prevent Neural Networks from Overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"The Journal of Machine Learning Research"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1063\/1.3155898"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2018.01.021"},{"key":"ref1","first-page":"373","article-title":"A Pre-research on GWAC Massive Catalog Data Storage and Processing System","volume":"13","author":"wan","year":"2016","journal-title":"Astronomical Research and Technology"},{"key":"ref9","first-page":"1","article-title":"Adam: A Method for Stochastic Optimization","author":"kingma","year":"2015","journal-title":"Proceedings of International Conference on Learning Representations"}],"event":{"name":"2020 IEEE International Conference on Networking, Sensing and Control (ICNSC)","start":{"date-parts":[[2020,10,30]]},"location":"Nanjing, China","end":{"date-parts":[[2020,11,2]]}},"container-title":["2020 IEEE International Conference on Networking, Sensing and Control (ICNSC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9238048\/9238049\/09238105.pdf?arnumber=9238105","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:26:32Z","timestamp":1656375992000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9238105\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,30]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/icnsc48988.2020.9238105","relation":{},"subject":[],"published":{"date-parts":[[2020,10,30]]}}}