{"id":"https://openalex.org/W4380451118","doi":"https://doi.org/10.1109/taes.2023.3285203","title":"TA-LSTM: A Time and Attribute Aware LSTM for Deep Flight Track Clustering","display_name":"TA-LSTM: A Time and Attribute Aware LSTM for Deep Flight Track Clustering","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4380451118","doi":"https://doi.org/10.1109/taes.2023.3285203"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2023.3285203","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/taes.2023.3285203","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Aerospace and Electronic Systems","raw_type":"journal-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/A5084923117","display_name":"Yuqi Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuqi Fan","raw_affiliation_strings":["School of Computer Science and Information Engineering, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114100125","display_name":"Jiahao Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahao Liu","raw_affiliation_strings":["School of Computer Science and Information Engineering, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083696824","display_name":"Han Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Ye","raw_affiliation_strings":["School of Computer Science and Information Engineering, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061519726","display_name":"Zengwei Lyu","orcid":"https://orcid.org/0000-0001-6287-1926"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengwei Lyu","raw_affiliation_strings":["School of Computer Science and Information Engineering, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084923117"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":2.1842,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.88446042,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9980000257492065,"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/T11106","display_name":"Data Management and Algorithms","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7900360822677612},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7380487322807312},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7101194858551025},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.567071259021759},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5477728843688965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5439609885215759},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5007433891296387},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36596813797950745},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35707587003707886}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7900360822677612},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7380487322807312},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7101194858551025},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.567071259021759},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5477728843688965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5439609885215759},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5007433891296387},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36596813797950745},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35707587003707886},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/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/taes.2023.3285203","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/taes.2023.3285203","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1384291316","display_name":null,"funder_award_id":"62002097","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320328099","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1983479840","https://openalex.org/W1994882049","https://openalex.org/W2064675550","https://openalex.org/W2126194848","https://openalex.org/W2136922672","https://openalex.org/W2187089797","https://openalex.org/W2742491462","https://openalex.org/W2750814024","https://openalex.org/W2890686416","https://openalex.org/W2897997731","https://openalex.org/W2907792596","https://openalex.org/W2948300920","https://openalex.org/W2949419207","https://openalex.org/W2964074409","https://openalex.org/W2987057371","https://openalex.org/W2997353686","https://openalex.org/W3003365835","https://openalex.org/W3011364549","https://openalex.org/W3041517319","https://openalex.org/W3176262381","https://openalex.org/W3180828911","https://openalex.org/W3186578093","https://openalex.org/W3188779816","https://openalex.org/W3199463048","https://openalex.org/W3211979628","https://openalex.org/W4220905398","https://openalex.org/W4231410305","https://openalex.org/W4287666730","https://openalex.org/W6641162989","https://openalex.org/W6680587008","https://openalex.org/W6682042988","https://openalex.org/W6685380521","https://openalex.org/W6743485176","https://openalex.org/W6754349710","https://openalex.org/W6840490676"],"related_works":["https://openalex.org/W2789518417","https://openalex.org/W4323768008","https://openalex.org/W3131574667","https://openalex.org/W2566545183","https://openalex.org/W2499449816","https://openalex.org/W2059085722","https://openalex.org/W4213217485","https://openalex.org/W4248382324","https://openalex.org/W4210856988","https://openalex.org/W2946721565"],"abstract_inverted_index":{"Flight":[0],"track":[1,18,50,64,87,98,127,135,203],"clustering":[2,128,136,146,179,194],"is":[3,20,31],"the":[4,13,23,37,45,57,71,79,93,96,101,156,174,182,189,193,215],"premise":[5],"and":[6,12,52,120,124,144,168,212,232],"foundation":[7],"of":[8,17,59,82,95,139,159,185],"air":[9],"traffic":[10],"control,":[11],"effective":[14],"latent":[15,157,183],"representation":[16,158,184],"data":[19,204],"key":[21],"to":[22,35,54,154,173,191],"flight":[24,113,126,134,160,186],"trajectory":[25,40,114],"clustering.":[26],"Long":[27],"short-term":[28],"memory":[29],"(LSTM)":[30],"an":[32,169],"important":[33],"method":[34,217],"extract":[36],"features":[38],"from":[39],"data.":[41],"However,":[42],"LSTM":[43,76,122,176],"ignores":[44],"irregular":[46],"time":[47,119,165],"intervals":[48],"between":[49],"points":[51,99],"fails":[53],"effectively":[55],"distinguish":[56],"importance":[58],"different":[60,83],"attributes":[61,84],"at":[62,85],"each":[63,86],"point":[65,88],"during":[66],"feature":[67,115,141,149],"extraction.":[68],"In":[69,107,208],"addition,":[70],"existing":[72],"methods":[73],"based":[74,130],"on":[75,100,131],"either":[77],"ignore":[78],"distinct":[80],"impacts":[81],"or":[89],"simply":[90],"assume":[91],"that":[92],"influences":[94],"previous":[97],"subsequent":[102],"ones":[103],"decrease":[104],"with":[105,210],"time.":[106],"this":[108],"paper,":[109],"we":[110],"propose":[111],"a":[112,125,140,145,164],"extraction":[116,142,150],"unit":[117],"called":[118],"attribute":[121,170],"(TA-LSTM)":[123],"model":[129,137],"TA-LSTM.":[132],"The":[133,148,178],"consists":[138],"layer":[143,151,180],"layer.":[147],"adopts":[152],"TA-LSTM":[153],"obtain":[155,192],"tracks,":[161],"which":[162],"adds":[163],"control":[166,171],"gate":[167,172],"standard":[175],"unit.":[177],"takes":[181],"tracks":[187],"as":[188],"input":[190],"results.":[195],"We":[196],"conduct":[197],"experiments":[198],"using":[199],"Automatic":[200],"Dependent":[201],"Surveillance-Broadcast":[202],"provided":[205],"by":[206],"VariFlight.":[207],"comparison":[209],"popular":[211],"state-of-the-art":[213],"methods,":[214],"proposed":[216],"obtains":[218],"superior":[219],"performance":[220],"in":[221],"three":[222],"widely":[223],"used":[224],"evaluation":[225],"metrics,":[226],"i.e.,":[227],"Silhouette":[228],"Coefficient,":[229],"Calinski-Harabaz":[230],"index":[231],"Davies\u2013Bouldin":[233],"index.":[234]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}