{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T13:14:12Z","timestamp":1775913252660,"version":"3.50.1"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,11,26]],"date-time":"2022-11-26T00:00:00Z","timestamp":1669420800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,26]],"date-time":"2022-11-26T00:00:00Z","timestamp":1669420800000},"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":[[2022,11,26]]},"DOI":"10.1109\/iscmi56532.2022.10068441","type":"proceedings-article","created":{"date-parts":[[2023,3,21]],"date-time":"2023-03-21T15:49:06Z","timestamp":1679413746000},"page":"241-245","source":"Crossref","is-referenced-by-count":6,"title":["Anomaly Detection with Convolutional Autoencoder for Predictive Maintenance"],"prefix":"10.1109","author":[{"given":"Ruiqi","family":"Tian","sequence":"first","affiliation":[{"name":"Western University,ECE Department,London,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luisa","family":"Liboni","sequence":"additional","affiliation":[{"name":"Western University,ECE Department,London,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miriam","family":"Capretz","sequence":"additional","affiliation":[{"name":"Western University,ECE Department,London,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2022.110791"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s40313-021-00747-4"},{"key":"ref15","author":"bai","year":"2018","journal-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.egyai.2022.100145"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44989-2_41"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICOIN53446.2022.9687205"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2021.108723"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s40313-016-0261-3"},{"key":"ref2","author":"mckinsey","year":"2017","journal-title":"Smartening up with artificial intelligence (ai)—what's in it for germany and its industrial sector?"},{"key":"ref1","author":"rapoza","year":"2016","journal-title":"Maintaining virtual system uptime in today's transforming it infrastructure"},{"key":"ref17","year":"2020","journal-title":"Pump sensor data"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63710-1_13"},{"key":"ref19","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref18","author":"nunes","year":"2017","journal-title":"Practical Course on Artificial Neural Networks"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/en13133481"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2018.12.005"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727242"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11276-022-02980-4"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2020.05.013"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2017.02.058"}],"event":{"name":"2022 9th International Conference on Soft Computing & Machine Intelligence (ISCMI)","location":"Toronto, ON, Canada","start":{"date-parts":[[2022,11,26]]},"end":{"date-parts":[[2022,11,27]]}},"container-title":["2022 9th International Conference on Soft Computing & Machine Intelligence (ISCMI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10068346\/10068435\/10068441.pdf?arnumber=10068441","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,10]],"date-time":"2023-04-10T14:57:16Z","timestamp":1681138636000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10068441\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,26]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/iscmi56532.2022.10068441","relation":{},"subject":[],"published":{"date-parts":[[2022,11,26]]}}}