{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T22:59:04Z","timestamp":1768431544986,"version":"3.49.0"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"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":["IEEE Trans. Cogn. Commun. Netw."],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1109\/tccn.2019.2958639","type":"journal-article","created":{"date-parts":[[2019,12,10]],"date-time":"2019-12-10T20:56:58Z","timestamp":1576011418000},"page":"771-782","source":"Crossref","is-referenced-by-count":18,"title":["Experimental Results on the Impact of Memory in Neural Networks for Spectrum Prediction in Land Mobile Radio Bands"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7493-8056","authenticated-orcid":false,"given":"Ozan","family":"Ozyegen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0820-9477","authenticated-orcid":false,"given":"Sanaz","family":"Mohammadjafari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emir","family":"Kavurmacioglu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Maidens","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ayse Basar","family":"Bener","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","author":"cook","year":"1979","journal-title":"Quasi-Experimentation Design and analysis issues for field settings"},{"key":"ref38","author":"campbell","year":"2015","journal-title":"Experimental and Quasi-Experimental Designs for Research"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.01.039"},{"key":"ref32","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":"ref31","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref30","first-page":"1145","article-title":"Time series data prediction using sliding window based RBF neural network","volume":"13","author":"hota","year":"2017","journal-title":"Int J Comput Intell Res"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-4625-2"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/5.58337"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2582924"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/PIMRC.2011.6140056"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1614235.1614250"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/WICOM.2009.5302514"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CIT.2010.355"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11265-009-0352-5"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ISETC.2012.6408051"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2009.5198636"},{"key":"ref17","first-page":"4017","article-title":"Multilayer feedforward neural network based efficient spectrum occupancy prediction scheme for cognitive radio system","volume":"10","author":"li","year":"2014","journal-title":"J Comput Inf Syst"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/wcm.1017"},{"key":"ref19","first-page":"25","article-title":"Spectrum behavior learning in cognitive radio based on artificial neural network","author":"yin","year":"2011","journal-title":"Proc Military Commun Conf"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCPCT.2014.7054970"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2004.839380"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2864222"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/DYSPAN.2010.5457871"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/INM.2009.5188874"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ISCIT.2015.7458335"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/GAMENETS.2009.5137435"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2014.2357679"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2009.03.009"},{"key":"ref2","author":"kobb","year":"2001","journal-title":"Wireless Spectrum Finder Telecommunications Government and Scientific Radio Frequency Allocations in the U S 30 MHz–300 GHz"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2751058"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2006.05.001"},{"key":"ref20","first-page":"1","article-title":"Cognitive radio spectrum evolution prediction using artificial neural networks based multivariate time series modelling","author":"taj","year":"2011","journal-title":"Proc 11th Eur Wireless Conf -Sustain Wireless Technol"},{"key":"ref22","first-page":"1310","article-title":"On the difficulty of training recurrent neural networks","author":"pascanu","year":"2013","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/72.279181"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2017.8057090"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/IHMSC.2013.48"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/SPCOM.2016.7746632"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3291533.3291540"}],"container-title":["IEEE Transactions on Cognitive Communications and Networking"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6687307\/9112755\/08930636.pdf?arnumber=8930636","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:31:47Z","timestamp":1651080707000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8930636\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6]]},"references-count":39,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tccn.2019.2958639","relation":{},"ISSN":["2332-7731","2372-2045"],"issn-type":[{"value":"2332-7731","type":"electronic"},{"value":"2372-2045","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,6]]}}}