{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,4]],"date-time":"2025-10-04T03:41:35Z","timestamp":1759549295263,"version":"build-2065373602"},"reference-count":5,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"10","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. & Syst."],"published-print":{"date-parts":[[2025,10,1]]},"DOI":"10.1587\/transinf.2025edl8003","type":"journal-article","created":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T18:06:39Z","timestamp":1748801199000},"page":"1283-1286","source":"Crossref","is-referenced-by-count":0,"title":["Combustion Condition Identification though Flame Imaging and Convolutional Autoencoder"],"prefix":"10.1587","volume":"E108.D","author":[{"given":"Zewen","family":"QIAN","sequence":"first","affiliation":[{"name":"School of Communication and Artificial Intelligence, School of Integrated Circuits, Nanjing Institute of Technology (NJIT)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhezhe","family":"HAN","sequence":"additional","affiliation":[{"name":"School of Communication and Artificial Intelligence, School of Integrated Circuits, Nanjing Institute of Technology (NJIT)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haoran","family":"JIANG","sequence":"additional","affiliation":[{"name":"School of Communication and Artificial Intelligence, School of Integrated Circuits, Nanjing Institute of Technology (NJIT)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziyi","family":"ZHANG","sequence":"additional","affiliation":[{"name":"School of Communication and Artificial Intelligence, School of Integrated Circuits, Nanjing Institute of Technology (NJIT)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohan","family":"ZHANG","sequence":"additional","affiliation":[{"name":"School of Communication and Artificial Intelligence, School of Integrated Circuits, Nanjing Institute of Technology (NJIT)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"MA","sequence":"additional","affiliation":[{"name":"School of Communication and Artificial Intelligence, School of Integrated Circuits, Nanjing Institute of Technology (NJIT)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue","family":"XIE","sequence":"additional","affiliation":[{"name":"School of Communication and Artificial Intelligence, School of Integrated Circuits, Nanjing Institute of Technology (NJIT)"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"publisher","unstructured":"[1] Z. Han, X. Tang, M.M. Hossain, and C. Xu, \u201cAssessment of flame stability through a convolutional denoising autoencoder and statistical analysis [J],\u201d Combustion and Flame, vol.258, p.113069, 2023. 10.1016\/j.combustflame.2023.113069","DOI":"10.1016\/j.combustflame.2023.113069"},{"key":"2","doi-asserted-by":"publisher","unstructured":"[2] Z. Han, Y. Xie, M.M. Hossain, and C. Xu, \u201cA hybrid deep neural network model for NOx emission prediction of heavy oil-fired boiler flames [J],\u201d Fuel, vol.333, no.2, p.126419, 2023. 10.1016\/j.fuel.2022.126419","DOI":"10.1016\/j.fuel.2022.126419"},{"key":"3","doi-asserted-by":"publisher","unstructured":"[3] Z. Zhang, M. Xu, K. Ming, F. Liu, X. He, and X. Zhang, \u201cNeodymium oxide concentration state recognition model in neodymium molten salt electrolysis process based on flame image features [J],\u201d Measurement, vol.239, p.115495, 2025. 10.1016\/j.measurement.2024.115495","DOI":"10.1016\/j.measurement.2024.115495"},{"key":"4","doi-asserted-by":"publisher","unstructured":"[4] R. Roncancio, A. El Gamal, and J.P. Gore, \u201cTurbulent flame image classification using Convolutional Neural Networks [J],\u201d Energy and AI, vol.10, p.100193, 2022. 10.1016\/j.egyai.2022.100193","DOI":"10.1016\/j.egyai.2022.100193"},{"key":"5","doi-asserted-by":"publisher","unstructured":"[5] Z. Han, X. Tang, Y. Xie, R. Liang, and Y. Bao, \u201cPrediction of heavy-oil combustion emissions with a semi-supervised learning model considering variable operation conditions [J],\u201d Energy, vol.288, p.129782, 2024. 10.1016\/j.energy.2023.129782","DOI":"10.1016\/j.energy.2023.129782"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E108.D\/10\/E108.D_2025EDL8003\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,4]],"date-time":"2025-10-04T03:28:48Z","timestamp":1759548528000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E108.D\/10\/E108.D_2025EDL8003\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,1]]},"references-count":5,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2025edl8003","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"type":"print","value":"0916-8532"},{"type":"electronic","value":"1745-1361"}],"subject":[],"published":{"date-parts":[[2025,10,1]]},"article-number":"2025EDL8003"}}