{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,12,19]],"date-time":"2024-12-19T05:17:14Z","timestamp":1734585434940,"version":"3.30.2"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,10,20]],"date-time":"2024-10-20T00:00:00Z","timestamp":1729382400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,20]],"date-time":"2024-10-20T00:00:00Z","timestamp":1729382400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2020R1A2C1012389"],"award-info":[{"award-number":["2020R1A2C1012389"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,10,20]]},"DOI":"10.1109\/sensors60989.2024.10784884","type":"proceedings-article","created":{"date-parts":[[2024,12,17]],"date-time":"2024-12-17T19:07:24Z","timestamp":1734462444000},"page":"1-4","source":"Crossref","is-referenced-by-count":0,"title":["DMGAN: Bridging AI and Chemistry with Enhanced GC-MS Data Generation"],"prefix":"10.1109","author":[{"given":"Namkyung","family":"Yoon","sequence":"first","affiliation":[{"name":"School of Electrical Engineering, Korea University,Seoul,Korea,02841"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hwangnam","family":"Kim","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Korea University,Seoul,Korea,02841"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"volume-title":"Basic gas chromatography","year":"2019","author":"Harold","key":"ref1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11306-010-0254-3"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsbmb.2010.04.010"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/jrfm14080339"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.talanta.2019.05.053"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/chemosensors12070131"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-021-00444-8"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICAIIC60209.2024.10463452"},{"issue":"5","key":"ref9","article-title":"A novel generative adversarial network model based on gc-ms analysis for the classification of taif rose","volume":"13","author":"Hala","year":"2023","journal-title":"Applied Sciences"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/B0-12-369397-7\/00342-3"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-021-00414-0"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/631"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/s24165451"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3398734"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-023-08459-3"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2023\/759"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i9.26317"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.122666"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref21","first-page":"18878","article-title":"Data distributional properties drive emergent in-context learning in transformers","volume":"35","author":"Chan","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref22","article-title":"Time-series generative adversarial networks","volume":"32","author":"Yoon","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9413119"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-05982-z"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.110055"},{"key":"ref26","article-title":"Algan: Time series anomaly detection with adjusted-lstm gan","author":"Bashar","year":"2023","journal-title":"arXiv preprint"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-42516-z"},{"issue":"6","key":"ref28","first-page":"90","article-title":"Review on determining number of cluster in k-means clustering","volume":"1","author":"Kodinariya","year":"2013","journal-title":"International Journal"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.eng.2020.01.007"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1623\/hysj.53.2.353"},{"key":"ref31","article-title":"Visually evaluating generative adversarial networks using itself under multivariate time series","author":"Pan","year":"2022","journal-title":"arXiv preprint"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/a15070252"}],"event":{"name":"2024 IEEE SENSORS","start":{"date-parts":[[2024,10,20]]},"location":"Kobe, Japan","end":{"date-parts":[[2024,10,23]]}},"container-title":["2024 IEEE SENSORS"],"original-title":[],"link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/http\/xplorestaging.ieee.org\/ielx8\/10783834\/10784457\/10784884.pdf?arnumber=10784884","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,18]],"date-time":"2024-12-18T07:45:19Z","timestamp":1734507919000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/ieeexplore.ieee.org\/document\/10784884\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,20]]},"references-count":32,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1109\/sensors60989.2024.10784884","relation":{},"subject":[],"published":{"date-parts":[[2024,10,20]]}}}