{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T22:06:19Z","timestamp":1725660379714},"reference-count":10,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,5,6]],"date-time":"2023-05-06T00:00:00Z","timestamp":1683331200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,6]],"date-time":"2023-05-06T00:00:00Z","timestamp":1683331200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,5,6]]},"DOI":"10.1109\/icaci58115.2023.10146159","type":"proceedings-article","created":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T17:57:06Z","timestamp":1686592626000},"page":"1-4","source":"Crossref","is-referenced-by-count":0,"title":["Predicting Fuel Burn with Neural Network to Adjust Contingency Fuel of Airplane"],"prefix":"10.1109","author":[{"given":"Pimolrat","family":"Ounsrimoung","sequence":"first","affiliation":[{"name":"Mahasarakharm Univiersity,Faculty of Informatics,Mahasarakharm,Thailand"}]},{"given":"Supakit","family":"Nootyaskool","sequence":"additional","affiliation":[{"name":"King Mongkut’s Institute of Technology Ladkrabang,School of Information Technology,Bangkok,Thailand"}]},{"given":"Kanokwan","family":"Atchariyachanvanich","sequence":"additional","affiliation":[{"name":"Mahasarakharm Univiersity,Faculty of Informatics,Mahasarakharm,Thailand"}]},{"given":"Soemsak","family":"Yooyen","sequence":"additional","affiliation":[{"name":"King Mongkut’s Institute of Technology Ladkrabang,International Academy of Aviation Industry,Bangkok,Thailand"}]}],"member":"263","reference":[{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/DASC55683.2022.9925742"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/COGINF.2010.5599714"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISCID51228.2020.00033"},{"key":"ref4","first-page":"3398","article-title":"Modified particle swarm optimization based algorithm for BP neural network for measuring aircraft remaining fuel volume","author":"na","year":"2012","journal-title":"Proceedings of the 31st Chinese Control Conference"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICIE.2009.9"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCASIT53235.2021.9633684"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/HNICEM48295.2019.9072728"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/0920-5489(94)90017-5"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICTKE55848.2022.9983084"},{"journal-title":"General Aviation Requirement","year":"2019","key":"ref1"}],"event":{"name":"2023 15th International Conference on Advanced Computational Intelligence (ICACI)","start":{"date-parts":[[2023,5,6]]},"location":"Seoul, Korea, Republic of","end":{"date-parts":[[2023,5,9]]}},"container-title":["2023 15th International Conference on Advanced Computational Intelligence (ICACI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10146108\/10146127\/10146159.pdf?arnumber=10146159","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,3]],"date-time":"2023-07-03T17:45:47Z","timestamp":1688406347000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10146159\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,6]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/icaci58115.2023.10146159","relation":{},"subject":[],"published":{"date-parts":[[2023,5,6]]}}}