{"id":"https://openalex.org/W4399881335","doi":"https://doi.org/10.1109/access.2024.3417408","title":"Automatic Modulation Open-Set Recognition Based on Random Convolutional Prototype Network-MultiOCSVM","display_name":"Automatic Modulation Open-Set Recognition Based on Random Convolutional Prototype Network-MultiOCSVM","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399881335","doi":"https://doi.org/10.1109/access.2024.3417408"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3417408","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3417408","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3417408","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042091856","display_name":"Jiajie Sun","orcid":"https://orcid.org/0009-0003-5370-5311"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajie Sun","raw_affiliation_strings":["College of Electronic Engineering, Naval University of Engineering, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0003-5370-5311","affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, Naval University of Engineering, Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liangzhong Cui","orcid":"https://orcid.org/0009-0005-6098-2047"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangzhong Cui","raw_affiliation_strings":["College of Electronic Engineering, Naval University of Engineering, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0005-6098-2047","affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, Naval University of Engineering, Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113037249","display_name":"Yameng Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yameng Niu","raw_affiliation_strings":["College of Electronic Engineering, Naval University of Engineering, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, Naval University of Engineering, Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2800710378"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7378,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75315845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"12","issue":null,"first_page":"198237","last_page":"198249"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9962000250816345,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.813928484916687},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.576364278793335},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5401332378387451},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.46721354126930237},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4199369251728058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41002386808395386},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3465840816497803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.813928484916687},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.576364278793335},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5401332378387451},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.46721354126930237},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4199369251728058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41002386808395386},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3465840816497803},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3417408","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3417408","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7ec017c4c12a4bb8a0c8c6200f8323b4","is_oa":true,"landing_page_url":"https://doaj.org/article/7ec017c4c12a4bb8a0c8c6200f8323b4","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":"IEEE Access, Vol 12, Pp 198237-198249 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3417408","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3417408","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1032927584","https://openalex.org/W2051540765","https://openalex.org/W2100332042","https://openalex.org/W2105497548","https://openalex.org/W2114267371","https://openalex.org/W2741230443","https://openalex.org/W2790452209","https://openalex.org/W2790896200","https://openalex.org/W2901114541","https://openalex.org/W2963061824","https://openalex.org/W2963149653","https://openalex.org/W2979428411","https://openalex.org/W2982438846","https://openalex.org/W3032977069","https://openalex.org/W3034337242","https://openalex.org/W3048565450","https://openalex.org/W3088131055","https://openalex.org/W3111389230","https://openalex.org/W3113047382","https://openalex.org/W3168231499","https://openalex.org/W4224991115","https://openalex.org/W4311970758","https://openalex.org/W4327956411","https://openalex.org/W4390269138","https://openalex.org/W6917408469"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W4312417841","https://openalex.org/W4210874298"],"abstract_inverted_index":{"Automatic":[0],"Modulation":[1],"Recognition":[2],"(AMR)":[3],"is":[4,114,155],"a":[5,50,75,95,124],"crucial":[6],"technology":[7],"in":[8,15,43,160],"signal":[9,70],"recognition":[10,52,164],"for":[11,100,168],"detecting":[12],"target":[13],"signals":[14,136,141],"radio":[16],"communications.":[17],"The":[18,66,127,148],"accuracy":[19,42],"of":[20],"AMR":[21],"has":[22],"been":[23],"improved":[24],"by":[25,73,144],"using":[26,80],"machine":[27],"and":[28,40,103,122,129,134,138,158],"deep":[29],"learning":[30,89],"methods.":[31],"However,":[32],"these":[33],"methods":[34],"often":[35],"have":[36],"high":[37],"computational":[38],"complexity":[39],"lower":[41],"open":[44],"set":[45],"recognition.":[46,171],"This":[47],"paper":[48],"proposes":[49],"modulation":[51,69,163,170],"approach":[53,154],"based":[54],"on":[55,90],"the":[56,63,91,118,139],"Random":[57],"Convolution":[58],"Prototype":[59],"Network-MultiOCSVM":[60],"to":[61,116],"address":[62],"challenges":[64],"mentioned.":[65],"method":[67],"extracts":[68],"features":[71,93,102],"effectively":[72],"establishing":[74],"random":[76,82],"convolution":[77,83],"prototype":[78,88,105],"network":[79,99],"various":[81],"kernels.":[84],"It":[85],"then":[86],"performs":[87],"retrieved":[92],"within":[94],"fully":[96],"connected":[97],"neural":[98],"dimension-reduced":[101,119],"category":[104,146],"extraction.":[106],"A":[107],"Multiple":[108],"One":[109],"Classifier-Support":[110],"Vector":[111],"Machine":[112],"(MultiOCSVM)":[113],"constructed":[115],"fit":[117],"feature":[120],"boundaries":[121],"establish":[123],"decision":[125],"boundary.":[126],"outer":[128],"inner":[130],"bounds":[131],"represent":[132],"unknown":[133],"known":[135,140],"respectively,":[137],"are":[142],"classified":[143],"combining":[145],"prototypes.":[147],"experimental":[149],"results":[150],"indicate":[151],"that":[152],"this":[153],"more":[156],"efficient":[157],"accurate":[159],"open-set":[161],"automatic":[162,169],"than":[165],"existing":[166],"algorithms":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}