{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T15:45:00Z","timestamp":1776959100928,"version":"3.51.4"},"reference-count":33,"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-nc-nd\/4.0\/"}],"funder":[{"name":"KMITL Research and Innovation Services","award":["ID 2565-02-01-011"],"award-info":[{"award-number":["ID 2565-02-01-011"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3358671","type":"journal-article","created":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T18:31:08Z","timestamp":1706207468000},"page":"15609-15621","source":"Crossref","is-referenced-by-count":13,"title":["A Deep Learning Model for Bacterial Classification Using Big Transfer (BiT)"],"prefix":"10.1109","volume":"12","author":[{"given":"Sarinporn","family":"Visitsattaponge","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering, School of Engineering, King Mongkut&#x2019;s Institute of Technology Ladkrabang, Bangkok, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manao","family":"Bunkum","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, School of Engineering, King Mongkut&#x2019;s Institute of Technology Ladkrabang, Bangkok, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chuchart","family":"Pintavirooj","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, School of Engineering, King Mongkut&#x2019;s Institute of Technology Ladkrabang, Bangkok, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5071-1535","authenticated-orcid":false,"given":"May Phu","family":"Paing","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, School of Engineering, King Mongkut&#x2019;s Institute of Technology Ladkrabang, Bangkok, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-022-10192-7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1117\/12.853303"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11831-021-09660-0"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0184554"},{"key":"ref5","volume-title":"Microbiology","year":"2024"},{"key":"ref6","volume-title":"Microscopy Images","year":"2024"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/cibec.2018.8641799"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106504"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ismsit.2018.8566685"},{"key":"ref10","first-page":"1","article-title":"An automated deep learning approach for bacterial image classification","volume-title":"Proc. Presented Int. Conf. Adv. Technol. Comput. Eng. Sci. (ICATCES)","author":"Talo"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/electronics10233005"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-022-13022-8"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpbup.2022.100091"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.jestch.2023.101500"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/access.2023.3339127"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.6143"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.3041873"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58558-7_29"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_1"},{"key":"ref20","article-title":"Micro-batch training with batch-channel normalization and weight standardization","author":"Qiao","year":"2019","journal-title":"arXiv:1903.10520"},{"key":"ref21","article-title":"ImageNet large scale visual recognition challenge","author":"Russakovsky","year":"2014","journal-title":"arXiv:1409.0575"},{"key":"ref22","article-title":"Deep residual learning for image recognition","author":"He","year":"2015","journal-title":"arXiv:1512.03385"},{"key":"ref23","article-title":"Matching networks for one shot learning","author":"Vinyals","year":"2016","journal-title":"arXiv:1606.04080"},{"key":"ref24","article-title":"Fixing the train-test resolution discrepancy","author":"Touvron","year":"2019","journal-title":"arXiv:1906.06423"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.48550\/arxiv.1710.09412"},{"key":"ref26","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref27","article-title":"Densely connected convolutional networks","author":"Huang","year":"2016","journal-title":"arXiv:1608.06993"},{"key":"ref28","article-title":"SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and &lt;0.5MB model size","author":"Iandola","year":"2016","journal-title":"arXiv:1602.07360"},{"key":"ref29","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:2010.11929"},{"key":"ref30","first-page":"23965","article-title":"Model soups: Averaging weights of multiple fine-tuned models improves accuracy without increasing inference time","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Wortsman"},{"key":"ref31","article-title":"Symbolic discovery of optimization algorithms","author":"Chen","year":"2023","journal-title":"arXiv:2302.06675"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2022.108313"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-30480-8"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10380310\/10414089.pdf?arnumber=10414089","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,2]],"date-time":"2024-02-02T00:41:38Z","timestamp":1706834498000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10414089\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3358671","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}