{"id":"https://openalex.org/W3214778821","doi":"https://doi.org/10.1109/isncc52172.2021.9615681","title":"Real-time Aircraft Tracking System: A Survey and A Deep Learning Based Model","display_name":"Real-time Aircraft Tracking System: A Survey and A Deep Learning Based Model","publication_year":2021,"publication_date":"2021-10-31","ids":{"openalex":"https://openalex.org/W3214778821","doi":"https://doi.org/10.1109/isncc52172.2021.9615681","mag":"3214778821"},"language":"en","primary_location":{"id":"doi:10.1109/isncc52172.2021.9615681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isncc52172.2021.9615681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Symposium on Networks, Computers and Communications (ISNCC)","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/A5058749203","display_name":"Muhammed Emir \u00c7ak\u0131c\u0131","orcid":null},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Muhammed Emir cakici","raw_affiliation_strings":["Hacettepe University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Hacettepe University, Ankara, Turkey","institution_ids":["https://openalex.org/I66514158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066314235","display_name":"Feyza Y\u0131ld\u0131r\u0131m Okay","orcid":"https://orcid.org/0000-0002-6239-3722"},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Feyza Yildirim Okay","raw_affiliation_strings":["Hacettepe University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Hacettepe University, Ankara, Turkey","institution_ids":["https://openalex.org/I66514158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076499033","display_name":"Suat \u00d6zdem\u0131r","orcid":"https://orcid.org/0000-0002-4588-4538"},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Suat Ozdemir","raw_affiliation_strings":["Hacettepe University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Hacettepe University, Ankara, Turkey","institution_ids":["https://openalex.org/I66514158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058749203"],"corresponding_institution_ids":["https://openalex.org/I66514158"],"apc_list":null,"apc_paid":null,"fwci":1.1187,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.82708361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12125","display_name":"Aerospace and Aviation Technology","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/T11489","display_name":"Air Traffic Management and Optimization","score":0.9993000030517578,"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/radar","display_name":"Radar","score":0.6395639181137085},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.6307142376899719},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6123594641685486},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6013983488082886},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.6008008122444153},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5883591175079346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5244715213775635},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5020098686218262},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4459178149700165},{"id":"https://openalex.org/keywords/aviation","display_name":"Aviation","score":0.4414021074771881},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2788771986961365},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.23433169722557068},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.15223237872123718},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13008379936218262}],"concepts":[{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6395639181137085},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.6307142376899719},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6123594641685486},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6013983488082886},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.6008008122444153},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5883591175079346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5244715213775635},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5020098686218262},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4459178149700165},{"id":"https://openalex.org/C74448152","wikidata":"https://www.wikidata.org/wiki/Q765633","display_name":"Aviation","level":2,"score":0.4414021074771881},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2788771986961365},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.23433169722557068},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.15223237872123718},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13008379936218262},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isncc52172.2021.9615681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isncc52172.2021.9615681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Symposium on Networks, Computers and Communications (ISNCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2646853","https://openalex.org/W1612645646","https://openalex.org/W2010431714","https://openalex.org/W2150478023","https://openalex.org/W2169565601","https://openalex.org/W2296741226","https://openalex.org/W2333507536","https://openalex.org/W2511826256","https://openalex.org/W2522960662","https://openalex.org/W2526682594","https://openalex.org/W2744362103","https://openalex.org/W2756893764","https://openalex.org/W2771184965","https://openalex.org/W2803009534","https://openalex.org/W2885195348","https://openalex.org/W2895874880","https://openalex.org/W2897997731","https://openalex.org/W2949074209","https://openalex.org/W2969979070","https://openalex.org/W3000241400","https://openalex.org/W3081360487","https://openalex.org/W4211134266","https://openalex.org/W4214717370","https://openalex.org/W4289085255","https://openalex.org/W6682066818","https://openalex.org/W6746446777","https://openalex.org/W6757825368"],"related_works":["https://openalex.org/W3151342408","https://openalex.org/W191136024","https://openalex.org/W2462751745","https://openalex.org/W1568122762","https://openalex.org/W2366430195","https://openalex.org/W1649624904","https://openalex.org/W2171702250","https://openalex.org/W2380612839","https://openalex.org/W1984288231","https://openalex.org/W1567854708"],"abstract_inverted_index":{"Real-time":[0],"tracking":[1,43,50,66,101],"of":[2,21,64,102,115,121],"a":[3,7,61,90],"maneuvering":[4],"aircraft":[5,42,65],"is":[6,28,124,141],"challenging":[8],"issue":[9],"in":[10,54,164],"the":[11,55,85,112,118,122,127,134,138],"literature.":[12,56],"For":[13],"effective":[14],"tracking,":[15],"an":[16,103],"accurate":[17],"and":[18,79,153],"complete":[19],"transfer":[20],"data":[22,32,38,162],"from":[23],"aviation":[24],"to":[25,72,110,126,133,160],"ground":[26],"systems":[27,51,67],"needed.":[29],"However,":[30],"possible":[31],"loss":[33,163],"caused":[34],"by":[35,68],"telemetry":[36],"or":[37,129],"acquisition":[39],"system":[40,97,131],"makes":[41],"difficult.":[44],"To":[45],"mitigate":[46],"this":[47],"problem,":[48],"efficient":[49],"are":[52,108,150],"proposed":[53,139],"Accordingly,":[57,117],"we":[58,88],"first":[59],"present":[60],"brief":[62],"survey":[63],"splitting":[69],"them":[70],"according":[71],"their":[73],"approaches":[74],"as":[75],"mathematical,":[76],"machine":[77],"learning-based,":[78],"deep":[80],"learning-based":[81,93],"approaches.":[82],"After":[83],"examining":[84],"existing":[86],"studies,":[87],"offer":[89],"real-time":[91,100],"Deep":[92,105],"Aircraft":[94],"Tracking":[95],"(DeepAT)":[96],"that":[98],"enables":[99],"aircraft.":[104,116],"learning":[106],"models":[107],"employed":[109],"predict":[111],"next":[113,135],"location":[114],"radar":[119,130],"angle":[120],"antenna":[123,128],"determined":[125],"directs":[132],"location.":[136],"When":[137],"model":[140],"analyzed":[142],"through":[143],"two":[144],"potential":[145],"use":[146],"case":[147],"scenarios":[148],"which":[149],"flight":[151],"tests":[152],"military":[154],"applications,":[155],"DeepAT":[156],"offers":[157],"promising":[158],"solutions":[159],"prevent":[161],"different":[165],"applications.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}