{"id":"https://openalex.org/W3110622722","doi":"https://doi.org/10.1186/s40537-021-00438-6","title":"Optimization of air traffic management efficiency based on deep learning enriched by the long short-term memory (LSTM) and extreme learning machine (ELM)","display_name":"Optimization of air traffic management efficiency based on deep learning enriched by the long short-term memory (LSTM) and extreme learning machine (ELM)","publication_year":2021,"publication_date":"2021-04-01","ids":{"openalex":"https://openalex.org/W3110622722","doi":"https://doi.org/10.1186/s40537-021-00438-6","mag":"3110622722"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-021-00438-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-021-00438-6","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-021-00438-6","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-021-00438-6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090857045","display_name":"Mahdi Yousefzadeh Aghdam","orcid":null},"institutions":[{"id":"https://openalex.org/I110525433","display_name":"Islamic Azad University, Tehran","ror":"https://ror.org/01kzn7k21","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433"]},{"id":"https://openalex.org/I1312987727","display_name":"University of Neyshabur","ror":"https://ror.org/01x41eb05","country_code":"IR","type":"education","lineage":["https://openalex.org/I1312987727"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mahdi Yousefzadeh Aghdam","raw_affiliation_strings":["Department of Computer Engineering, Neyshobur Branch, Islamic Azad University, Neyshabur, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Neyshobur Branch, Islamic Azad University, Neyshabur, Iran","institution_ids":["https://openalex.org/I110525433","https://openalex.org/I1312987727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041711065","display_name":"Seyed Reza Kamel Tabbakh","orcid":"https://orcid.org/0000-0003-3043-0207"},"institutions":[{"id":"https://openalex.org/I183859904","display_name":"Islamic Azad University, Mashhad","ror":"https://ror.org/00bvysh61","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I183859904"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Seyed Reza Kamel Tabbakh","raw_affiliation_strings":["Department of Computer Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran"],"raw_orcid":"https://orcid.org/0000-0003-3043-0207","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran","institution_ids":["https://openalex.org/I183859904"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112658793","display_name":"Seyed Javad Mahdavi Chabok","orcid":null},"institutions":[{"id":"https://openalex.org/I183859904","display_name":"Islamic Azad University, Mashhad","ror":"https://ror.org/00bvysh61","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I183859904"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Seyed Javad Mahdavi Chabok","raw_affiliation_strings":["Department of Computer Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran","institution_ids":["https://openalex.org/I183859904"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077077902","display_name":"Maryam Kheyrabadi","orcid":null},"institutions":[{"id":"https://openalex.org/I110525433","display_name":"Islamic Azad University, Tehran","ror":"https://ror.org/01kzn7k21","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433"]},{"id":"https://openalex.org/I1312987727","display_name":"University of Neyshabur","ror":"https://ror.org/01x41eb05","country_code":"IR","type":"education","lineage":["https://openalex.org/I1312987727"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Maryam Kheyrabadi","raw_affiliation_strings":["Department of Computer Engineering, Neyshobur Branch, Islamic Azad University, Neyshabur, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Neyshobur Branch, Islamic Azad University, Neyshabur, Iran","institution_ids":["https://openalex.org/I110525433","https://openalex.org/I1312987727"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041711065"],"corresponding_institution_ids":["https://openalex.org/I183859904"],"apc_list":{"value":1990,"currency":"USD","value_usd":1990},"apc_paid":{"value":1990,"currency":"USD","value_usd":1990},"fwci":25.8449,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.9907558,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11489","display_name":"Air Traffic Management and Optimization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11489","display_name":"Air Traffic Management and Optimization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T12125","display_name":"Aerospace and Aviation Technology","score":0.954800009727478,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8750344514846802},{"id":"https://openalex.org/keywords/air-traffic-control","display_name":"Air traffic control","score":0.6213183403015137},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.6149588823318481},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.56552654504776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5491762161254883},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5403109192848206},{"id":"https://openalex.org/keywords/air-traffic-management","display_name":"Air traffic management","score":0.5053568482398987},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4937194287776947},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4751146733760834},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.45000460743904114},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4420081675052643},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4163094460964203},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41520702838897705},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4100803732872009}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8750344514846802},{"id":"https://openalex.org/C166961238","wikidata":"https://www.wikidata.org/wiki/Q221395","display_name":"Air traffic control","level":2,"score":0.6213183403015137},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.6149588823318481},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.56552654504776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5491762161254883},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5403109192848206},{"id":"https://openalex.org/C2776777543","wikidata":"https://www.wikidata.org/wiki/Q1361182","display_name":"Air traffic management","level":3,"score":0.5053568482398987},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4937194287776947},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4751146733760834},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.45000460743904114},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4420081675052643},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4163094460964203},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41520702838897705},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4100803732872009},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-021-00438-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-021-00438-6","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-021-00438-6","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:369deb1e93f14022940ea10271807b25","is_oa":true,"landing_page_url":"https://doaj.org/article/369deb1e93f14022940ea10271807b25","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 8, Iss 1, Pp 1-26 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-021-00438-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-021-00438-6","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-021-00438-6","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3110622722.pdf","grobid_xml":"https://content.openalex.org/works/W3110622722.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W146567176","https://openalex.org/W1524926349","https://openalex.org/W1575869194","https://openalex.org/W1839333106","https://openalex.org/W2018290676","https://openalex.org/W2141425895","https://openalex.org/W2166748245","https://openalex.org/W2170976665","https://openalex.org/W2275574693","https://openalex.org/W2295012394","https://openalex.org/W2336220906","https://openalex.org/W2338198216","https://openalex.org/W2342108271","https://openalex.org/W2482651034","https://openalex.org/W2490180510","https://openalex.org/W2504266609","https://openalex.org/W2521116657","https://openalex.org/W2549412458","https://openalex.org/W2549590463","https://openalex.org/W2551099415","https://openalex.org/W2552640567","https://openalex.org/W2558117492","https://openalex.org/W2567648555","https://openalex.org/W2570282873","https://openalex.org/W2604861992","https://openalex.org/W2605475419","https://openalex.org/W2611388946","https://openalex.org/W2619911107","https://openalex.org/W2620952433","https://openalex.org/W2728025670","https://openalex.org/W2735519414","https://openalex.org/W2756880332","https://openalex.org/W2767436413","https://openalex.org/W2784132423","https://openalex.org/W2785534585","https://openalex.org/W2790129083","https://openalex.org/W2800998977","https://openalex.org/W2801698893","https://openalex.org/W2804965430","https://openalex.org/W2809124410","https://openalex.org/W2887037553","https://openalex.org/W2888941316","https://openalex.org/W2890755534","https://openalex.org/W2891589865","https://openalex.org/W2892036933","https://openalex.org/W2895502773","https://openalex.org/W2896146819","https://openalex.org/W2898206134","https://openalex.org/W2900665618","https://openalex.org/W2939251941","https://openalex.org/W2979622241","https://openalex.org/W2987643707","https://openalex.org/W2999088358","https://openalex.org/W3005706467","https://openalex.org/W3095174976","https://openalex.org/W3121997880","https://openalex.org/W3124899688","https://openalex.org/W4238796079","https://openalex.org/W6731919324","https://openalex.org/W6891930171"],"related_works":["https://openalex.org/W2135905813","https://openalex.org/W2008390173","https://openalex.org/W2043775914","https://openalex.org/W2585807273","https://openalex.org/W2091753509","https://openalex.org/W4205399654","https://openalex.org/W2329782413","https://openalex.org/W2519895254","https://openalex.org/W606759102","https://openalex.org/W2626405586"],"abstract_inverted_index":{"Abstract":[0],"Nowadays":[1],"this":[2,76,141],"concept":[3],"has":[4,63,135,146,169],"been":[5,42,122],"widely":[6],"assessed":[7],"due":[8],"to":[9,44,78,100,126,157,179],"its":[10],"complexity":[11],"and":[12,22,31,34,53,73,85,95,114,118],"sensitivity":[13],"for":[14],"the":[15,46,55,69,80,89,102,128,132,137,166,180],"beneficiaries,":[16],"including":[17],"passengers,":[18],"airlines,":[19],"regulatory":[20],"agencies,":[21],"other":[23,158],"organizations.":[24],"To":[25],"date,":[26],"various":[27],"methods":[28],"(e.g.,":[29,38],"statistical":[30,119],"fuzzy":[32],"techniques)":[33],"data":[35,112],"mining":[36],"algorithms":[37],"neural":[39],"network)":[40],"have":[41,121],"used":[43,88,123],"solve":[45],"issues":[47],"of":[48,60,104,140],"air":[49,81,152,173],"traffic":[50,82,153,174],"management":[51,83,154,175],"(ATM)":[52],"delay":[54],"minimization":[56],"problems.":[57],"However,":[58],"each":[59],"these":[61],"techniques":[62],"some":[64],"disadvantages,":[65],"such":[66],"as":[67],"overlooking":[68],"data,":[70],"computational":[71],"complexities,":[72],"uncertainty.":[74],"In":[75],"paper,":[77],"increase":[79,150],"accuracy":[84],"legitimacy":[86],"we":[87],"bidirectional":[90],"long":[91],"short-term":[92],"memory":[93],"(Bi-LSTMs)":[94],"extreme":[96],"learning":[97,107],"machines":[98],"(ELM)":[99],"design":[101],"structure":[103],"a":[105,148,170],"deep":[106],"network":[108],"method.":[109,130],"The":[110,143],"Kaggle":[111],"set":[113],"different":[115],"performance":[116],"parameters":[117],"criteria":[120,138],"in":[124,151,155,177],"MATLAB":[125],"validate":[127],"proposed":[129,133,144,167],"Using":[131],"method":[134,145,168],"improved":[136],"factors":[139],"study.":[142],"had":[147],"%":[149],"comparison":[156,178],"papers.":[159],"Therefore,":[160],"it":[161],"can":[162],"be":[163],"said":[164],"that":[165],"much":[171],"higher":[172],"capacity":[176],"previous":[181],"methods.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
