{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T12:48:12Z","timestamp":1768481292046,"version":"3.49.0"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100013352","name":"Nano Material Technology Development Program","doi-asserted-by":"publisher","award":["NRF-2022M3H4A1A01009658"],"award-info":[{"award-number":["NRF-2022M3H4A1A01009658"]}],"id":[{"id":"10.13039\/501100013352","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100012018","name":"Ministry of Science and Information and Communication Technology","doi-asserted-by":"publisher","award":["RS-2024-00439520"],"award-info":[{"award-number":["RS-2024-00439520"]}],"id":[{"id":"10.13039\/501100012018","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3568466","type":"journal-article","created":{"date-parts":[[2025,5,9]],"date-time":"2025-05-09T18:01:29Z","timestamp":1746813689000},"page":"84329-84340","source":"Crossref","is-referenced-by-count":2,"title":["Energy- and Area-Efficient CMOS Neuron and Max Pooling Circuit for RRAM-Based CNN Accelerators"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-2318-1241","authenticated-orcid":false,"given":"Dowon","family":"Kim","sequence":"first","affiliation":[{"name":"School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1599-690X","authenticated-orcid":false,"given":"Byung-Geun","family":"Lee","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MCAS.2021.3092533"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0089-1"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038.\/s41586-020-1942-4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/advs.202201117"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2022.3190876"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1002\/aisy.202200014"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-022-04992-8"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-022-00795-x"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2022.3233396"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1002\/adma.202305465"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCE-TW46550.2019.8991981"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2008.4541553"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2019.2945559"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-62676-7"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/s41565-021-00874-8"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-45670-9"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2023.104865"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3277857"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IECON43393.2020.9254452"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/s23239612"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ECCTD.2009.5274998"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/s41565-020-0655-z"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1002\/aisy.202000115"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS51556.2021.9401319"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.nanoen.2024.109435"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-019-0270-x"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JXCDC.2020.2992228"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.21236\/ADA451466"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICVC.1999.820923"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2006.881817"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2007.908720"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2015.2451791"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2021.3059909"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.1986.1052639"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/4.75066"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref38","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref39","article-title":"Deep residual learning for image recognition","author":"He","year":"2015","journal-title":"arXiv:1512.03385"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1811.03378"},{"key":"ref41","article-title":"Fashion-MNIST: A novel image dataset for benchmarking machine learning algorithms","author":"Xiao","year":"2017","journal-title":"arXiv:1708.07747"},{"key":"ref42","article-title":"An overview of gradient descent optimization algorithms","author":"Ruder","year":"2016","journal-title":"arXiv:1609.04747"},{"key":"ref43","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017","journal-title":"arXiv:1704.04861"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10994459.pdf?arnumber=10994459","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T04:33:40Z","timestamp":1747974820000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10994459\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3568466","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}