{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T17:06:15Z","timestamp":1778087175760,"version":"3.51.4"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"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":[[2019,8]]},"DOI":"10.1109\/coase.2019.8843210","type":"proceedings-article","created":{"date-parts":[[2019,9,20]],"date-time":"2019-09-20T00:08:11Z","timestamp":1568938091000},"page":"667-672","source":"Crossref","is-referenced-by-count":11,"title":["Nonlinear Deformation Prediction and Compensation for 3D Printing Based on CAE Neural Networks"],"prefix":"10.1109","author":[{"given":"Meihua","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Gang","family":"Xiong","sequence":"additional","affiliation":[]},{"given":"Xiuqin","family":"Shang","sequence":"additional","affiliation":[]},{"given":"Chang","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Zhen","family":"Shen","sequence":"additional","affiliation":[]},{"given":"Huaiyu","family":"Wu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1115\/1.4028510"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2016.2608955"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1115\/MSEC2016-8784"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1115\/1.4038293"},{"key":"ref14","first-page":"1912","article-title":"3D ShapeNets: A deep representation for volumetric shapes","author":"wu","year":"2015","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.86"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.609"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_38"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.16"},{"key":"ref19","first-page":"5099","article-title":"PointNet++: Deep hierarchical feature learning on point sets in a metric space","author":"qi","year":"2017","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2898553"},{"key":"ref3","author":"hull","year":"1986","journal-title":"Apparatus for production of three dimensional objects by stereolithography"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-002-1317-z"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1115\/1.4032220"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1108\/13552549510086835"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2005.01.002"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1115\/1.4028670"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1108\/aa.2012.03332baa.010"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1080\/0740817X.2014.955599"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1007\/978-3-319-46723-8_49","article-title":"3D U-Net: Learning dense volumetric segmentation from sparse annotation","author":"\u00e7i\u00e7ek","year":"2016","journal-title":"Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016"}],"event":{"name":"2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)","location":"Vancouver, BC, Canada","start":{"date-parts":[[2019,8,22]]},"end":{"date-parts":[[2019,8,26]]}},"container-title":["2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8827189\/8842826\/08843210.pdf?arnumber=8843210","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:51:28Z","timestamp":1658094688000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8843210\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/coase.2019.8843210","relation":{},"subject":[],"published":{"date-parts":[[2019,8]]}}}