{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T02:00:21Z","timestamp":1773972021668,"version":"3.50.1"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,4,29]],"date-time":"2024-04-29T00:00:00Z","timestamp":1714348800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,29]],"date-time":"2024-04-29T00:00:00Z","timestamp":1714348800000},"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":[[2024,4,29]]},"DOI":"10.1109\/isdfs60797.2024.10527299","type":"proceedings-article","created":{"date-parts":[[2024,5,15]],"date-time":"2024-05-15T17:33:23Z","timestamp":1715794403000},"page":"1-5","source":"Crossref","is-referenced-by-count":3,"title":["Investigation of Efficiency and Accuracy of Deep Learning Models and Features with Electroencephalogram (EEG) Data for Binary Classification"],"prefix":"10.1109","author":[{"given":"Kelly","family":"O'Brien","sequence":"first","affiliation":[{"name":"Technological University of the Shannon: Midwest,Limerick,Ireland"}]},{"given":"Liam","family":"Brown","sequence":"additional","affiliation":[{"name":"Technological University of the Shannon: Midwest,Limerick,Ireland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2219-1816","authenticated-orcid":false,"given":"Joaquim","family":"Gon\u00e7alves","sequence":"additional","affiliation":[{"name":"2Ai - School of Technology,IPCA,Barcelos,Portugal"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/rbme.2020.2969915"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/PROC.1977.10542"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2021.018239"},{"key":"ref4","article-title":"Informatics in medicine unlocked classification of epileptic seizure dataset using different machine learning algorithms","volume":"21","author":"A.","year":"2020","journal-title":"Informatics Med"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2020.00338"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3389\/fmed.2020.613708"},{"key":"ref7","first-page":"1","volume-title":"Classification of hand movements from eeg using a deep attention-based lstm network","author":"G.","year":"2019"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1409.1259"},{"key":"ref9","first-page":"1","volume-title":"Motor imagery classification based on cnn-gru network with spatio-temporal","author":"B. J.S.","year":"2019"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/brainsci12091233"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.113"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/iscid.2018.10119"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/SMC42975.2020.9283028"},{"key":"ref14","volume-title":"Eeg database dataset - state of new york 1999","author":"B. H.","year":"1999"},{"key":"ref15","article-title":"Wavelet Transforms","author":"V. P.P.","year":"2009","journal-title":"Fundamentals of Circuits and Filters"},{"key":"ref16","first-page":"594","article-title":"Comparative analysis of different wavelets for eeg signal denoising","author":"S. T.","year":"2017","journal-title":"Int J Innov Res Sciene Eng Technol."},{"key":"ref17","first-page":"603","article-title":"Comparison of stft and wavelet transform methods in determining epileptic seizure activity in eeg signals for real-time application","volume":"7","author":"K. M.K.","year":"2005","journal-title":"Comput Biol Med."}],"event":{"name":"2024 12th International Symposium on Digital Forensics and Security (ISDFS)","location":"San Antonio, TX, USA","start":{"date-parts":[[2024,4,29]]},"end":{"date-parts":[[2024,4,30]]}},"container-title":["2024 12th International Symposium on Digital Forensics and Security (ISDFS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10526462\/10526466\/10527299.pdf?arnumber=10527299","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,16]],"date-time":"2024-05-16T05:03:01Z","timestamp":1715835781000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10527299\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,29]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/isdfs60797.2024.10527299","relation":{},"subject":[],"published":{"date-parts":[[2024,4,29]]}}}