{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:15:07Z","timestamp":1740100507261,"version":"3.37.3"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,10]],"date-time":"2021-10-10T00:00:00Z","timestamp":1633824000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,10]],"date-time":"2021-10-10T00:00:00Z","timestamp":1633824000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,10]],"date-time":"2021-10-10T00:00:00Z","timestamp":1633824000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002385","name":"Ministry of Higher Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002385","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008561","name":"Universiti Tenaga Nasional","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008561","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,10]]},"DOI":"10.1109\/ias48185.2021.9677218","type":"proceedings-article","created":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T21:32:23Z","timestamp":1642455143000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["SOC Estimation using Deep Bidirectional Gated Recurrent Units with Tree Parzen Estimator Hyperparameter Optimization"],"prefix":"10.1109","author":[{"given":"D. N. T.","family":"How","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M A","family":"Hannan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. S.","family":"Hossain Lipu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"P. J.","family":"Ker","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M.","family":"Mansor","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K. S. M.","family":"Sahari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K. M.","family":"Muttaqi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2913078"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpowsour.2020.228051"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3049944"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.4271\/2020-01-1181"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2921578"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2015.7280578"},{"key":"ref16","first-page":"2067","article-title":"Gated feedback recurrent neural networks","author":"chung","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2981072"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3060833"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3028690"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2942213"},{"key":"ref3","volume":"1","author":"plett","year":"2015","journal-title":"Battery Management Systems Volume I Battery Modeling"},{"key":"ref6","article-title":"Soc estimation of li-ion batteries with learning rate- optimized deep fully convolutional network","author":"hannan","year":"2020","journal-title":"IEEE Transactions on Power Electronics"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2020.124110"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/en12091592"},{"key":"ref7","article-title":"An automated hyperparameter search-based deep learning model for highway traffic prediction","author":"yi","year":"2020","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2941747"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2016.08.039"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2019.03.059"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2017.58"},{"article-title":"On the variance of the adaptive learning rate and beyond","year":"2019","author":"liu","key":"ref22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IWQoS.2018.8624183"},{"article-title":"Lookahead optimizer: k steps forward, 1 step back","year":"2019","author":"zhang","key":"ref23"}],"event":{"name":"2021 IEEE Industry Applications Society Annual Meeting (IAS)","start":{"date-parts":[[2021,10,10]]},"location":"Vancouver, BC, Canada","end":{"date-parts":[[2021,10,14]]}},"container-title":["2021 IEEE Industry Applications Society Annual Meeting (IAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9677037\/9677038\/09677218.pdf?arnumber=9677218","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:57:53Z","timestamp":1652201873000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9677218\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,10]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/ias48185.2021.9677218","relation":{},"subject":[],"published":{"date-parts":[[2021,10,10]]}}}