{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T17:08:24Z","timestamp":1776964104759,"version":"3.51.4"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"VIT-AP University"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3435683","type":"journal-article","created":{"date-parts":[[2024,7,30]],"date-time":"2024-07-30T17:57:36Z","timestamp":1722362256000},"page":"114760-114785","source":"Crossref","is-referenced-by-count":16,"title":["Developing a Novel Hybrid Model Double Exponential Smoothing and Dual Attention Encoder-Decoder Based Bi-Directional Gated Recurrent Unit Enhanced With Bayesian Optimization to Forecast Stock Price"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-2054-4370","authenticated-orcid":false,"given":"Talabathula","family":"Jayanth","sequence":"first","affiliation":[{"name":"Department of Mathematics, School of Advanced Sciences, VIT-AP University, Amaravati, Andhra Pradesh, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5671-9466","authenticated-orcid":false,"given":"A.","family":"Manimaran","sequence":"additional","affiliation":[{"name":"Department of Mathematics, School of Advanced Sciences, VIT-AP University, Amaravati, Andhra Pradesh, India"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.35940\/ijrte.E6409.018520"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.5602"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.segan.2024.101343"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2020.115383"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.32802\/asmscj.2020.sm26(1.4)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3046629"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s42452-020-2730-3"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1186\/s12879-023-08799-4"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.32604\/iasc.2023.026255"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCC.2020.2989631"},{"key":"ref11","article-title":"SMU: Smooth activation function for deep networks using smoothing maximum technique","author":"Biswas","year":"2021","journal-title":"arXiv:2111.04682"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-06043-1"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICEECCOT52851.2021.9708006"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s12230-020-09788-y"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-022-00599-y"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IC2IE50715.2020.9274679"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2946223"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/isaf.1459"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.109830"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05532-z"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.1158"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2886367"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1186\/s40854-021-00243-3"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-017-2228-y"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2868970"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.17509\/ijost.v6i1.32732"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1002\/dac.3987"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1002\/jae.2895"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.jeconom.2021.04.012"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/4809632"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-018-2406-6"},{"key":"ref32","article-title":"Stock price prediction using BERT and GAN","author":"Sonkiya","year":"2021","journal-title":"arXiv:2107.09055"},{"key":"ref33","article-title":"Stock price prediction using deep learning models","author":"Sen","year":"2023","journal-title":"Authorea Preprints"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2901842"},{"key":"ref35","first-page":"5246","article-title":"Stock price prediction using LSTM","volume":"83","author":"Pramod","year":"2020","journal-title":"Test Eng. Manage."},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3390\/mca25030053"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3298445"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-020-04991-9"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3390\/engproc2021005041"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-019-05815-0"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.05.023"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.04.014"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.11.060"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.05.028"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-04867-x"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.12.118"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.12.030"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.psep.2020.02.021"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/NILES50944.2020.9257950"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/NCG.2018.8593076"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/UEMCON51285.2020.9298066"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/DASA53625.2021.9682319"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10614598.pdf?arnumber=10614598","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T04:07:07Z","timestamp":1725163627000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10614598\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":52,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3435683","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}