{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T17:30:55Z","timestamp":1777915855663,"version":"3.51.4"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002546","name":"Faculty Research Fund of Sejong University, in 2023","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002546","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002551","name":"Institute of Advanced Machinery and Design (IAMD) of Seoul National University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002551","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014188","name":"Research Project","doi-asserted-by":"publisher","award":["2021R1F1A1063188"],"award-info":[{"award-number":["2021R1F1A1063188"]}],"id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3294976","type":"journal-article","created":{"date-parts":[[2023,7,13]],"date-time":"2023-07-13T17:29:30Z","timestamp":1689269370000},"page":"72462-72476","source":"Crossref","is-referenced-by-count":6,"title":["Task Transfer Learning for Prediction of Transient Nitrogen Oxides, Soot, and Total Hydrocarbon Emissions of a Diesel Engine"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2271-8190","authenticated-orcid":false,"given":"Seunghyup","family":"Shin","sequence":"first","affiliation":[{"name":"Department of Artificial Intelligence, Sejong University, Seoul, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4200-8428","authenticated-orcid":false,"given":"Minjae","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Myongji University, Yongin-si, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jihwan","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Seoul National University, Seoul, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0230-6164","authenticated-orcid":false,"given":"Sangyul","family":"Lee","sequence":"additional","affiliation":[{"name":"Division of Mechanical and Electronics Engineering, Hansung University, Seoul, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyoungdoug","family":"Min","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Seoul National University, Seoul, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2019.10.080"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s13204-021-01781-z"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803726"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1177\/0954407020932690"},{"key":"ref30","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.116919","article-title":"Designing a steady-state experimental dataset for predicting transient NOx emissions of diesel engines via deep learning","volume":"198","author":"shin","year":"2022","journal-title":"Expert Syst Appl"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.4271\/2020-01-0735"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1177\/09544070211005570"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2015.12.091"},{"key":"ref1","author":"williams","year":"2016","journal-title":"A Technical Summary of Euro 6\/VI Vehicle Emission Standards"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01267"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00391"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794292"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/aa93d4"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014067"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref26","year":"2023","journal-title":"EarlyStopping"},{"key":"ref25","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2020.103761","article-title":"Deep neural network model with Bayesian hyperparameter optimization for prediction of NOx at transient conditions in a diesel engine","volume":"94","author":"shin","year":"2020","journal-title":"Eng Appl Artif Intell"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18178\/ijmlc.2019.9.2.787"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054543"},{"key":"ref21","article-title":"Conditionally adaptive multi-task learning: Improving transfer learning in NLP using fewer parameters & less data","author":"pilault","year":"2020","journal-title":"arXiv 2009 09139"},{"key":"ref28","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume":"37","author":"ioffe","year":"2015","journal-title":"Proc 32nd Int Conf Mach Learn"},{"key":"ref27","article-title":"Fast and accurate deep network learning by exponential linear units (ELUs)","author":"clevert","year":"2015","journal-title":"arXiv 1511 07289"},{"key":"ref29","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2017","journal-title":"arXiv 1412 6980"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2020.139625"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2021.151347"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TOCS50858.2020.9339757"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1115\/1.4032941"},{"key":"ref3","author":"dimitriou","year":"2013","journal-title":"Diesel engine combustion optimization for bio-diesel blends using Taguchi and ANOVA statistical methods"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.2516\/ogst\/2021054"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2020.3004171"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10182259.pdf?arnumber=10182259","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,7]],"date-time":"2023-08-07T18:33:16Z","timestamp":1691433196000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10182259\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3294976","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}