{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T02:01:38Z","timestamp":1725588098046},"reference-count":14,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"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":[[2020,5]]},"DOI":"10.1109\/vtc2020-spring48590.2020.9128493","type":"proceedings-article","created":{"date-parts":[[2020,6,30]],"date-time":"2020-06-30T21:24:53Z","timestamp":1593552293000},"page":"1-5","source":"Crossref","is-referenced-by-count":3,"title":["Modulation Classification using Joint Time and Frequency-domain Data"],"prefix":"10.1109","author":[{"given":"Diogo","family":"Figueiredo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonio","family":"Furtado","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rodolfo","family":"Oliveiray","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"Deep Learning","year":"2016","author":"goodfellow","key":"ref10"},{"journal-title":"Deepsig dataset Radioml 2018 01a","year":"2018","key":"ref11"},{"journal-title":"Deep learning a practitioner’s approach","year":"2017","author":"patterson","key":"ref12"},{"key":"ref13","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics"},{"key":"ref14","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv preprint arXiv 1412 6980"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2018.2824326"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/26.823550"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCS.2016.7833571"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2011.2159000"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC.2018.8445938"},{"key":"ref7","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"arXiv preprint arXiv 1409"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2761740"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/PCSPA.2010.148"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2018.2797022"}],"event":{"name":"2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)","start":{"date-parts":[[2020,5,25]]},"location":"Antwerp, Belgium","end":{"date-parts":[[2020,5,28]]}},"container-title":["2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9121635\/9128361\/09128493.pdf?arnumber=9128493","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T15:17:33Z","timestamp":1656602253000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9128493\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/vtc2020-spring48590.2020.9128493","relation":{},"subject":[],"published":{"date-parts":[[2020,5]]}}}