{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T10:26:34Z","timestamp":1779359194976,"version":"3.51.4"},"reference-count":15,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,3]]},"DOI":"10.1109\/icassp.2017.7952638","type":"proceedings-article","created":{"date-parts":[[2017,6,20]],"date-time":"2017-06-20T21:35:36Z","timestamp":1497994536000},"page":"2657-2661","source":"Crossref","is-referenced-by-count":40,"title":["Convolutional neural networks for passive monitoring of a shallow water environment using a single sensor"],"prefix":"10.1109","author":[{"given":"Eric L.","family":"Ferguson","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rishi","family":"Ramakrishnan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan B.","family":"Williams","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Craig T.","family":"Jin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Deep feature learning for acoustics-based terrain classification","author":"valada","year":"2015","journal-title":"Proceedings of the International Symposium on Robotics Research"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2003.1188908"},{"key":"ref12","article-title":"The quefrency analysis of time series for echoes: Cepstrum, pseudo-autocovariance, cross-cepstrum, and saphe cracking","volume":"15","author":"bogert","year":"1963","journal-title":"Proceedings of the Symposium on Time Series Analysis"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2004.1328092"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1121\/1.4970708"},{"key":"ref15","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TSA.2004.833008"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/78.301830"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JOE.2004.838064"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/78.157176"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref7","author":"gao","year":"2008","journal-title":"Undersea Defence Technology"},{"key":"ref2","author":"carter","year":"1993","journal-title":"Coherence and Time Delay Estimation"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1981.1163560"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"}],"event":{"name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"New Orleans, LA","start":{"date-parts":[[2017,3,5]]},"end":{"date-parts":[[2017,3,9]]}},"container-title":["2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7943262\/7951776\/07952638.pdf?arnumber=7952638","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,8,29]],"date-time":"2017-08-29T18:45:42Z","timestamp":1504032342000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7952638\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,3]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/icassp.2017.7952638","relation":{},"subject":[],"published":{"date-parts":[[2017,3]]}}}