{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T15:42:27Z","timestamp":1777131747820,"version":"3.51.4"},"reference-count":11,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,3,22]],"date-time":"2021-03-22T00:00:00Z","timestamp":1616371200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,3,22]],"date-time":"2021-03-22T00:00:00Z","timestamp":1616371200000},"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":[[2021,3,22]]},"DOI":"10.1109\/percomworkshops51409.2021.9430996","type":"proceedings-article","created":{"date-parts":[[2021,5,24]],"date-time":"2021-05-24T20:26:56Z","timestamp":1621888016000},"page":"320-323","source":"Crossref","is-referenced-by-count":4,"title":["Towards Predictive Safety Maintenance for IoT Equipped Bikes"],"prefix":"10.1109","author":[{"given":"Viktor","family":"Matkovic","sequence":"first","affiliation":[{"name":"University of Duisburg-Essen,Duisburg,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marian","family":"Waltereit","sequence":"additional","affiliation":[{"name":"University of Duisburg-Essen,Duisburg,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Torben","family":"Weis","sequence":"additional","affiliation":[{"name":"University of Duisburg-Essen,Duisburg,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref4","year":"0","journal-title":"Predictive maintenance of bicycles"},{"key":"ref3","year":"0","journal-title":"Rumble Mountain bike predictive analytics from your smartphone"},{"key":"ref10","year":"0","journal-title":"ESP-IDF Programming Guide"},{"key":"ref6","first-page":"1","article-title":"Tslearn, a machine learning toolkit for time series data","volume":"21","author":"tavenard","year":"2020","journal-title":"Journal of Machine Learning Research"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1201\/9781439800225"},{"key":"ref5","first-page":"359","article-title":"Using dynamic time warping to find patterns in time series","author":"berndt","year":"0","journal-title":"Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref7","author":"cuturi","year":"2018","journal-title":"Soft-dtw a differentiable loss function for time-series"},{"key":"ref2","author":"wolfgang","year":"0","journal-title":"Brake pad wear indicator disc brake with such a display and brake shoes for such a disc brake"},{"key":"ref9","author":"chollet","year":"2015","journal-title":"Keras"},{"key":"ref1","year":"2019","journal-title":"Fahrrad-monitor deutschland 2019 - ergebnisse einer repräsentativen online-befragung"}],"event":{"name":"2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","location":"Kassel, Germany","start":{"date-parts":[[2021,3,22]]},"end":{"date-parts":[[2021,3,26]]}},"container-title":["2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9430855\/9430860\/09430996.pdf?arnumber=9430996","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,3]],"date-time":"2022-08-03T00:01:44Z","timestamp":1659484904000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9430996\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,22]]},"references-count":11,"URL":"https:\/\/doi.org\/10.1109\/percomworkshops51409.2021.9430996","relation":{},"subject":[],"published":{"date-parts":[[2021,3,22]]}}}