{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T08:08:14Z","timestamp":1730275694146,"version":"3.28.0"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,31]],"date-time":"2021-10-31T00:00:00Z","timestamp":1635638400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,31]],"date-time":"2021-10-31T00:00:00Z","timestamp":1635638400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,31]],"date-time":"2021-10-31T00:00:00Z","timestamp":1635638400000},"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":[[2021,10,31]]},"DOI":"10.1109\/isncc52172.2021.9615851","type":"proceedings-article","created":{"date-parts":[[2021,11,25]],"date-time":"2021-11-25T20:32:15Z","timestamp":1637872335000},"page":"1-7","source":"Crossref","is-referenced-by-count":3,"title":["A light neural network for modulation detection under impairments"],"prefix":"10.1109","author":[{"given":"Thomas","family":"Courtat","sequence":"first","affiliation":[]},{"given":"Helion du Mas des","family":"Bourboux","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553380"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2018.8645089"},{"key":"ref11","article-title":"TensorFlow: Large-scale machine learning on heterogeneous systems","author":"abadi","year":"0","journal-title":"Journal of SoftWare 2015"},{"key":"ref12","article-title":"Radio machine learning dataset generation with gnu radio","volume":"1","author":"o\u2019shea","year":"2016","journal-title":"Proceedings of the GNU Radio Conference"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/SPLIM.2016.7528397"},{"key":"ref14","first-page":"4","article-title":"Gnu radio: Tools for exploring the radio frequency spectrum","volume":"2004","author":"blossom","year":"2004","journal-title":"Linux J"},{"key":"ref15","first-page":"396","article-title":"Handwritten digit recognition with a back-propagation network","author":"le cun","year":"1989","journal-title":"Proceedings of the 2Nd International Conference on Neural Information Processing Systems ser NIPS&#x2019;89"},{"key":"ref16","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"International Conference on Learning Representations"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref18","first-page":"211","article-title":"Training stochastic model recognition algorithms as networks can lead to maximum mutual information estimation of parameters","author":"bridle","year":"1990","journal-title":"Advances in Neural Information Processing Systems 2"},{"key":"ref19","first-page":"315","article-title":"Deep sparse rectifier neural networks","volume":"15","author":"glorot","year":"2011","journal-title":"Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics ser Proceedings of Machine Learning Research"},{"key":"ref28","first-page":"arxiv:1412.6980","article-title":"Adam: A Method for Stochastic Optimization","author":"kingma","year":"2014","journal-title":"ArXiv e-prints"},{"key":"ref4","first-page":"arxiv:1901.05850","article-title":"Fast Deep Learning for Automatic Modulation Classification","author":"ramjee","year":"2019","journal-title":"ArXiv e-prints"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2018.2867459"},{"key":"ref6","first-page":"arxiv:1911.04970","article-title":"Robust and Fast Automatic Modulation Classification with CNN under Multipath Fading Channels","author":"tekb?y?k","year":"2019","journal-title":"ArXiv e-prints"},{"key":"ref29","first-page":"8024","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/DySPAN.2019.8935684"},{"key":"ref8","first-page":"arxiv:2001.01395","article-title":"Accumulated Polar Feature based Deep Learning with Channel Compensation Mechanism for Efficient Automatic Modulation Classification under Time varying Channels","author":"teng","year":"2020","journal-title":"ArXiv e-prints"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2960775"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737463"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2018.2797022"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-44188-7_16"},{"key":"ref20","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.1989.118724"},{"key":"ref21","first-page":"arxiv:1312.4400","article-title":"Network In Network","author":"lin","year":"2013","journal-title":"ArXiv e-prints"},{"journal-title":"Keras","year":"2015","author":"chollet","key":"ref24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.3.372"},{"key":"ref26","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume":"9","author":"glorot","year":"2010","journal-title":"Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics ser Proceedings of Machine Learning Research"},{"key":"ref25","article-title":"Tensorflow: Large-scale machine learning on heterogeneous distributed systems","author":"abadi","year":"2016","journal-title":"arXiv preprint arXiv 1603 04467"}],"event":{"name":"2021 International Symposium on Networks, Computers and Communications (ISNCC)","start":{"date-parts":[[2021,10,31]]},"location":"Dubai, United Arab Emirates","end":{"date-parts":[[2021,11,2]]}},"container-title":["2021 International Symposium on Networks, Computers and Communications (ISNCC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9615623\/9615626\/09615851.pdf?arnumber=9615851","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:52:46Z","timestamp":1652201566000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9615851\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,31]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/isncc52172.2021.9615851","relation":{},"subject":[],"published":{"date-parts":[[2021,10,31]]}}}