{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,26]],"date-time":"2026-01-26T19:24:59Z","timestamp":1769455499185,"version":"3.49.0"},"reference-count":11,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"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":[[2019,11]]},"DOI":"10.1109\/icecs46596.2019.8964885","type":"proceedings-article","created":{"date-parts":[[2020,1,23]],"date-time":"2020-01-23T22:15:31Z","timestamp":1579817731000},"page":"49-52","source":"Crossref","is-referenced-by-count":3,"title":["Dilated Temporal Convolutional Neural Network Architecture with Independent Component Layer for Human Activity Recognition"],"prefix":"10.1109","author":[{"given":"Matthew","family":"Ward","sequence":"first","affiliation":[{"name":"University of St. Thomas,Department of Electrical and Computer Engineering,St. Paul,MN,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheol-Hong","family":"Min","sequence":"additional","affiliation":[{"name":"University of St. Thomas,Department of Electrical and Computer Engineering,St. Paul,MN,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hassan","family":"Salamy","sequence":"additional","affiliation":[{"name":"University of St. Thomas,Department of Electrical and Computer Engineering,St. Paul,MN,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kundan","family":"Nepal","sequence":"additional","affiliation":[{"name":"University of St. Thomas,Department of Electrical and Computer Engineering,St. Paul,MN,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2011.6090119"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2010.2041030"},{"key":"ref10","author":"jaderberg","year":"0","journal-title":"Decoupled neural interfaces using synthetic gradients"},{"key":"ref6","year":"0"},{"key":"ref11","author":"zhuang","year":"0","journal-title":"Fully decoupled neural network learning using delayed gradients"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/355460.355475"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00279"},{"key":"ref7","year":"0"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2012.110112.00192"},{"key":"ref9","author":"chen","year":"0","journal-title":"Rethinking the usage of batch normalization and dropout in the training of deep neural networks"},{"key":"ref1","year":"0","journal-title":"Cognitive Impairment"}],"event":{"name":"2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","location":"Genoa, Italy","start":{"date-parts":[[2019,11,27]]},"end":{"date-parts":[[2019,11,29]]}},"container-title":["2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8955687\/8964633\/08964885.pdf?arnumber=8964885","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T18:35:11Z","timestamp":1755714911000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8964885\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11]]},"references-count":11,"URL":"https:\/\/doi.org\/10.1109\/icecs46596.2019.8964885","relation":{},"subject":[],"published":{"date-parts":[[2019,11]]}}}