{"id":"https://openalex.org/W4380355104","doi":"https://doi.org/10.1109/icaci58115.2023.10146159","title":"Predicting Fuel Burn with Neural Network to Adjust Contingency Fuel of Airplane","display_name":"Predicting Fuel Burn with Neural Network to Adjust Contingency Fuel of Airplane","publication_year":2023,"publication_date":"2023-05-06","ids":{"openalex":"https://openalex.org/W4380355104","doi":"https://doi.org/10.1109/icaci58115.2023.10146159"},"language":"en","primary_location":{"id":"doi:10.1109/icaci58115.2023.10146159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci58115.2023.10146159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Advanced Computational Intelligence (ICACI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092145698","display_name":"Pimolrat Ounsrimoung","orcid":null},"institutions":[{"id":"https://openalex.org/I123096312","display_name":"Mahasarakham University","ror":"https://ror.org/0453j3c58","country_code":"TH","type":"education","lineage":["https://openalex.org/I123096312"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Pimolrat Ounsrimoung","raw_affiliation_strings":["Mahasarakharm Univiersity,Faculty of Informatics,Mahasarakharm,Thailand","Faculty of Informatics, Mahasarakharm Univiersity, Mahasarakharm, Thailand"],"affiliations":[{"raw_affiliation_string":"Mahasarakharm Univiersity,Faculty of Informatics,Mahasarakharm,Thailand","institution_ids":["https://openalex.org/I123096312"]},{"raw_affiliation_string":"Faculty of Informatics, Mahasarakharm Univiersity, Mahasarakharm, Thailand","institution_ids":["https://openalex.org/I123096312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025852857","display_name":"Supakit Nootyaskool","orcid":null},"institutions":[{"id":"https://openalex.org/I91538806","display_name":"King Mongkut's Institute of Technology Ladkrabang","ror":"https://ror.org/055mf0v62","country_code":"TH","type":"education","lineage":["https://openalex.org/I91538806"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Supakit Nootyaskool","raw_affiliation_strings":["King Mongkut’s Institute of Technology Ladkrabang,School of Information Technology,Bangkok,Thailand"],"affiliations":[{"raw_affiliation_string":"King Mongkut’s Institute of Technology Ladkrabang,School of Information Technology,Bangkok,Thailand","institution_ids":["https://openalex.org/I91538806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090836994","display_name":"Kanokwan Atchariyachanvanich","orcid":"https://orcid.org/0000-0002-2705-7942"},"institutions":[{"id":"https://openalex.org/I123096312","display_name":"Mahasarakham University","ror":"https://ror.org/0453j3c58","country_code":"TH","type":"education","lineage":["https://openalex.org/I123096312"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kanokwan Atchariyachanvanich","raw_affiliation_strings":["Mahasarakharm Univiersity,Faculty of Informatics,Mahasarakharm,Thailand","Faculty of Informatics, Mahasarakharm Univiersity, Mahasarakharm, Thailand"],"affiliations":[{"raw_affiliation_string":"Mahasarakharm Univiersity,Faculty of Informatics,Mahasarakharm,Thailand","institution_ids":["https://openalex.org/I123096312"]},{"raw_affiliation_string":"Faculty of Informatics, Mahasarakharm Univiersity, Mahasarakharm, Thailand","institution_ids":["https://openalex.org/I123096312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004163431","display_name":"Soemsak Yooyen","orcid":"https://orcid.org/0000-0002-5355-0415"},"institutions":[{"id":"https://openalex.org/I91538806","display_name":"King Mongkut's Institute of Technology Ladkrabang","ror":"https://ror.org/055mf0v62","country_code":"TH","type":"education","lineage":["https://openalex.org/I91538806"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Soemsak Yooyen","raw_affiliation_strings":["King Mongkut’s Institute of Technology Ladkrabang,International Academy of Aviation Industry,Bangkok,Thailand"],"affiliations":[{"raw_affiliation_string":"King Mongkut’s Institute of Technology Ladkrabang,International Academy of Aviation Industry,Bangkok,Thailand","institution_ids":["https://openalex.org/I91538806"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5092145698"],"corresponding_institution_ids":["https://openalex.org/I123096312"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07897175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12304","display_name":"Radiative Heat Transfer Studies","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12304","display_name":"Radiative Heat Transfer Studies","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10553","display_name":"Combustion and flame dynamics","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10117","display_name":"Advanced Combustion Engine Technologies","score":0.9682999849319458,"subfield":{"id":"https://openalex.org/subfields/1507","display_name":"Fluid Flow and Transfer Processes"},"field":{"id":"https://openalex.org/fields/15","display_name":"Chemical Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/airplane","display_name":"Airplane","score":0.7682439088821411},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5868810415267944},{"id":"https://openalex.org/keywords/contingency","display_name":"Contingency","score":0.5342592000961304},{"id":"https://openalex.org/keywords/burn-in","display_name":"Burn-in","score":0.5259813666343689},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5095582008361816},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.33635300397872925},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.32813575863838196},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.23268336057662964},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21000570058822632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20430949330329895},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.10000243782997131}],"concepts":[{"id":"https://openalex.org/C2781407631","wikidata":"https://www.wikidata.org/wiki/Q197","display_name":"Airplane","level":2,"score":0.7682439088821411},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5868810415267944},{"id":"https://openalex.org/C97508593","wikidata":"https://www.wikidata.org/wiki/Q1359069","display_name":"Contingency","level":2,"score":0.5342592000961304},{"id":"https://openalex.org/C179707776","wikidata":"https://www.wikidata.org/wiki/Q662895","display_name":"Burn-in","level":2,"score":0.5259813666343689},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5095582008361816},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.33635300397872925},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.32813575863838196},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.23268336057662964},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21000570058822632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20430949330329895},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.10000243782997131},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaci58115.2023.10146159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci58115.2023.10146159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Advanced Computational Intelligence (ICACI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1490671220","https://openalex.org/W2036713095","https://openalex.org/W2092076067","https://openalex.org/W2110349600","https://openalex.org/W3017743600","https://openalex.org/W3124769707","https://openalex.org/W4200562787","https://openalex.org/W4308092252","https://openalex.org/W4312036104","https://openalex.org/W6629213304"],"related_works":["https://openalex.org/W3021491005","https://openalex.org/W2188789443","https://openalex.org/W2315699100","https://openalex.org/W323439142","https://openalex.org/W2070939993","https://openalex.org/W4251918988","https://openalex.org/W1986287575","https://openalex.org/W2381008430","https://openalex.org/W4390492070","https://openalex.org/W2353008372"],"abstract_inverted_index":{"The":[0,37,79,94],"amount":[1,43],"of":[2,31,44,110],"fuel":[3,35,45,56,71],"in":[4],"an":[5],"airplane":[6,77],"tank":[7,22,50],"is":[8,23],"very":[9],"important":[10],"for":[11,33,107],"flying.":[12],"however,":[13],"flying":[14],"a":[15,20,29],"short":[16],"distance":[17],"by":[18,51],"adding":[19],"fuel-full":[21],"not":[24],"energy":[25],"efficient":[26],"because":[27],"spending":[28],"lot":[30],"tons":[32],"holding":[34],"weight.":[36],"flight":[38,86],"planners":[39],"who":[40],"consider":[41],"the":[42,49,66,102,111],"to":[46,48,69,82],"add":[47],"using":[52],"historical":[53,76],"data,":[54],"use":[55],"burn":[57],"calculating":[58],"and":[59,84,88,92,99,104],"adjust":[60],"contingency":[61],"fuel.":[62],"This":[63],"research":[64],"presents":[65],"neural":[67],"networks":[68],"predict":[70],"burn,":[72],"which":[73],"learn":[74],"from":[75],"data.":[78],"experiment":[80],"applied":[81],"local":[83],"international":[85],"data":[87],"used":[89],"both":[90],"Airbus":[91],"Boeing.":[93],"predicted":[95,112],"model":[96],"was":[97],"swapped":[98],"tested":[100],"on":[101],"outbound":[103],"inbound":[105],"replacements":[106],"confirmation":[108],"capable":[109],"mode.":[113]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}