{"id":"https://openalex.org/W2584371050","doi":"https://doi.org/10.13053/cys-20-4-2429","title":"Aircraft Class Recognition based on Take-off Noise Patterns","display_name":"Aircraft Class Recognition based on Take-off Noise Patterns","publication_year":2016,"publication_date":"2016-12-26","ids":{"openalex":"https://openalex.org/W2584371050","doi":"https://doi.org/10.13053/cys-20-4-2429","mag":"2584371050"},"language":"es","primary_location":{"id":"doi:10.13053/cys-20-4-2429","is_oa":false,"landing_page_url":"https://doi.org/10.13053/cys-20-4-2429","pdf_url":null,"source":{"id":"https://openalex.org/S61446325","display_name":"Computaci\u00f3n y Sistemas","issn_l":"1405-5546","issn":["1405-5546","2007-9737"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319599","host_organization_name":"National Polytechnic Institute","host_organization_lineage":["https://openalex.org/P4310319599"],"host_organization_lineage_names":["National Polytechnic Institute"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computaci\u00f3n y Sistemas","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/A5022123065","display_name":"Luis Alejandro S\u00e1nchez-P\u00e9rez","orcid":"https://orcid.org/0000-0001-9134-907X"},"institutions":[{"id":"https://openalex.org/I59361560","display_name":"Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34","country_code":"MX","type":"education","lineage":["https://openalex.org/I59361560"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Luis Alejandro S\u00e1nchez P\u00e9rez","raw_affiliation_strings":["Instituto Politecnico Nacional,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Politecnico Nacional,","institution_ids":["https://openalex.org/I59361560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048490049","display_name":"Luis Pastor S\u00e1nchez Fern\u00e1ndez","orcid":"https://orcid.org/0000-0002-5901-4349"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luis Pastor S\u00e1nchez Fern\u00e1ndez","raw_affiliation_strings":["Centro de Investigaci\u00f3n en Computaci\u00f3n (CIC)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centro de Investigaci\u00f3n en Computaci\u00f3n (CIC)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014923976","display_name":"Sergio Su\u00e1rez Guerra","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sergio Suarez Guerra","raw_affiliation_strings":["Centro de Investigaci\u00f3n en Computaci\u00f3n (CIC)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centro de Investigaci\u00f3n en Computaci\u00f3n (CIC)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11179084,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":"4","first_page":null,"last_page":null},"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":0.9879000186920166,"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":0.9879000186920166,"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/T13487","display_name":"Statistical and numerical algorithms","score":0.960099995136261,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9517999887466431,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.7582257390022278},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6969071626663208},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6571582555770874},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6150214672088623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6017558574676514},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5977284908294678},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5025637149810791},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4801473021507263},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4455662965774536},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.42278575897216797},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3659061789512634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7582257390022278},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6969071626663208},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6571582555770874},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6150214672088623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6017558574676514},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5977284908294678},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5025637149810791},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4801473021507263},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4455662965774536},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.42278575897216797},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3659061789512634},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.13053/cys-20-4-2429","is_oa":false,"landing_page_url":"https://doi.org/10.13053/cys-20-4-2429","pdf_url":null,"source":{"id":"https://openalex.org/S61446325","display_name":"Computaci\u00f3n y Sistemas","issn_l":"1405-5546","issn":["1405-5546","2007-9737"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319599","host_organization_name":"National Polytechnic Institute","host_organization_lineage":["https://openalex.org/P4310319599"],"host_organization_lineage_names":["National Polytechnic Institute"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computaci\u00f3n y Sistemas","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W4324315429","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W2380784125","https://openalex.org/W2914806737","https://openalex.org/W4298131179","https://openalex.org/W3004057759","https://openalex.org/W2113201962"],"abstract_inverted_index":{"En":[0],"este":[1],"trabajo":[2],"se":[3,42,83],"examina":[4],"el":[5,19,31,72,93],"reconocimiento":[6],"de":[7,10,14,25,33,46,53,57,67,78,98],"la":[8,23,26,51,63,89,99,109],"clase":[9],"aeronaves":[11],"a":[12,96],"partir":[13,97],"patrones":[15],"del":[16,74,76],"ruido":[17,77],"en":[18,28,71,108],"despegue.":[20],"Se":[21],"analiza":[22],"segmentaci\u00f3n":[24],"se\u00f1al":[27],"tiempo":[29],"y":[30,65,103],"uso":[32],"una":[34],"red":[35],"neuronal":[36],"MLP":[37],"por":[38,48],"cada":[39],"segmento.":[40],"Asimismo,":[41],"examinan":[43],"varios":[44],"algoritmos":[45],"decisi\u00f3n":[47],"comit\u00e9":[49],"para":[50,87],"agregaci\u00f3n":[52],"las":[54],"m\u00faltiples":[55],"salidas":[56],"los":[58,104],"clasificadores":[59],"paralelos,":[60],"as\u00ed":[61],"como":[62],"extracci\u00f3n":[64],"selecci\u00f3n":[66],"caracter\u00edsticas":[68],"con":[69],"base":[70],"an\u00e1lisis":[73],"espectro":[75],"aeronaves.":[79],"Por":[80],"otro":[81],"lado,":[82],"explora":[84],"un":[85],"m\u00e9todo":[86],"estimar":[88],"trayectoria":[90],"georreferenciada":[91],"durante":[92],"despegue":[94],"\u00fanicamente":[95],"se\u00f1al.":[100],"La":[101],"metodolog\u00eda":[102],"resultados":[105],"est\u00e1n":[106],"sustentados":[107],"literatura":[110],"actual.":[111]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
