{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:36:19Z","timestamp":1740101779326,"version":"3.37.3"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1109\/wcnc55385.2023.10118688","type":"proceedings-article","created":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T17:35:33Z","timestamp":1683912933000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["PESTnet - Pre-IFFT PAPR Estimation using Neural Networks for Improved OFDM Systems"],"prefix":"10.1109","author":[{"given":"Pavan","family":"Kumar Mangipudi","sequence":"first","affiliation":[{"name":"University of Florida,Department of Electrical and Computer Engineering,Gainesville,USA"}]},{"given":"Maneesh","family":"Merugu","sequence":"additional","affiliation":[{"name":"University of Florida,Department of Electrical and Computer Engineering,Gainesville,USA"}]},{"given":"Janise","family":"McNair","sequence":"additional","affiliation":[{"name":"University of Florida,Department of Electrical and Computer Engineering,Gainesville,USA"}]},{"given":"John","family":"Terry","sequence":"additional","affiliation":[{"name":"Terry Consultants Inc"}]},{"given":"David","family":"Veney","sequence":"additional","affiliation":[{"name":"Renaissance Associates, Inc."}]}],"member":"263","reference":[{"article-title":"Deep residual learning for image recognition","year":"2015","author":"he","key":"ref13"},{"key":"ref12","first-page":"22","article-title":"An overview: Peak to average power ratio in ofdm system & its effect","volume":"1","author":"gangwar","year":"2012","journal-title":"International Journal of Communication and Computer Technologies"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2020.3036909"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/GCWkshps52748.2021.9682102"},{"journal-title":"User Equipment (UE) radio transmission and reception (3GPP TS 36 101 version 14 3 0 Release 14)","article-title":"Evolved Universal Terrestrial Radio Access (E-UTRA)","year":"2017","key":"ref11"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/PACCS.2009.192"},{"key":"ref2","article-title":"TensorFlow: Large-scale machine learning on heterogeneous systems","author":"abadi","year":"2015","journal-title":"White Paper"},{"year":"2022","key":"ref1","article-title":"Research Computing at the University of Florida"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2020.3005656"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2017.2787646"},{"key":"ref19","article-title":"Activation functions: Comparison of trends in prac-tice and research for deep learning","author":"nwankpa","year":"0","journal-title":"ArXiv"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761963"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/VTC2020-Spring48590.2020.9128513"},{"article-title":"Geek culture: Forward and backward propagation, understanding it to master the model training process","year":"2015","author":"singh","key":"ref23"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2009.2038311"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2020.2980832"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2017.2758370"},{"key":"ref22","article-title":"An overview of gradient descent optimization algorithms","author":"ruder","year":"2016","journal-title":"ArXiv"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2013.021313.00164"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/5574807"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2017.2757490"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/e22020193"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.28945\/4184"},{"key":"ref9","article-title":"Globalmaxpooling2d layer","author":"chollet","year":"2015","journal-title":"Web article"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CESYS.2016.7889995"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICEngTechnol.2017.8308186"},{"journal-title":"Deep Learning Essentials Your hands-on guide to the fundamentals of deep learning and neural network modeling","year":"2018","author":"bhardwaj","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.01.026"}],"event":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","start":{"date-parts":[[2023,3,26]]},"location":"Glasgow, United Kingdom","end":{"date-parts":[[2023,3,29]]}},"container-title":["2023 IEEE Wireless Communications and Networking Conference (WCNC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10118584\/10118587\/10118688.pdf?arnumber=10118688","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T17:31:03Z","timestamp":1685381463000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10118688\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/wcnc55385.2023.10118688","relation":{},"subject":[],"published":{"date-parts":[[2023,3]]}}}