{"id":"https://openalex.org/W2922368802","doi":"https://doi.org/10.23919/apsipa.2018.8659774","title":"Ensemble Deep Learning Based Cooperative Spectrum Sensing with Stacking Fusion Center","display_name":"Ensemble Deep Learning Based Cooperative Spectrum Sensing with Stacking Fusion Center","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2922368802","doi":"https://doi.org/10.23919/apsipa.2018.8659774","mag":"2922368802"},"language":"en","primary_location":{"id":"doi:10.23919/apsipa.2018.8659774","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5100338932","display_name":"Hang Liu","orcid":"https://orcid.org/0000-0002-1379-6314"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hang Liu","raw_affiliation_strings":["Advanced Wireless and Communication Research Center, The University of Electro-Communications"],"affiliations":[{"raw_affiliation_string":"Advanced Wireless and Communication Research Center, The University of Electro-Communications","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103201922","display_name":"Xu Zhu","orcid":"https://orcid.org/0000-0002-0486-6130"},"institutions":[{"id":"https://openalex.org/I1292669757","display_name":"Toshiba (Japan)","ror":"https://ror.org/0326v3z14","country_code":"JP","type":"company","lineage":["https://openalex.org/I1292669757"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xu Zhu","raw_affiliation_strings":["Corporate Research and Development Center, Toshiba Corporation"],"affiliations":[{"raw_affiliation_string":"Corporate Research and Development Center, Toshiba Corporation","institution_ids":["https://openalex.org/I1292669757"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054932044","display_name":"Takeo Fujii","orcid":"https://orcid.org/0000-0002-7886-5560"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeo Fujii","raw_affiliation_strings":["Advanced Wireless and Communication Research Center, The University of Electro-Communications"],"affiliations":[{"raw_affiliation_string":"Advanced Wireless and Communication Research Center, The University of Electro-Communications","institution_ids":["https://openalex.org/I20529979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100338932"],"corresponding_institution_ids":["https://openalex.org/I20529979"],"apc_list":null,"apc_paid":null,"fwci":1.6608,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.8636122,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1841","last_page":"1846"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9983000159263611,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/stacking","display_name":"Stacking","score":0.7605921030044556},{"id":"https://openalex.org/keywords/fusion-center","display_name":"Fusion center","score":0.6474125385284424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5912955403327942},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5109369158744812},{"id":"https://openalex.org/keywords/center","display_name":"Center (category theory)","score":0.47248807549476624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.464376837015152},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44723206758499146},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.43834584951400757},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12929725646972656},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1281554400920868},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.08607688546180725},{"id":"https://openalex.org/keywords/crystallography","display_name":"Crystallography","score":0.07966005802154541},{"id":"https://openalex.org/keywords/nuclear-magnetic-resonance","display_name":"Nuclear magnetic resonance","score":0.06271204352378845}],"concepts":[{"id":"https://openalex.org/C33347731","wikidata":"https://www.wikidata.org/wiki/Q285210","display_name":"Stacking","level":2,"score":0.7605921030044556},{"id":"https://openalex.org/C2781234732","wikidata":"https://www.wikidata.org/wiki/Q943505","display_name":"Fusion center","level":4,"score":0.6474125385284424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5912955403327942},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5109369158744812},{"id":"https://openalex.org/C2779463800","wikidata":"https://www.wikidata.org/wiki/Q5062222","display_name":"Center (category theory)","level":2,"score":0.47248807549476624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.464376837015152},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44723206758499146},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.43834584951400757},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12929725646972656},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1281554400920868},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.08607688546180725},{"id":"https://openalex.org/C8010536","wikidata":"https://www.wikidata.org/wiki/Q160398","display_name":"Crystallography","level":1,"score":0.07966005802154541},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.06271204352378845},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/apsipa.2018.8659774","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2004076523","https://openalex.org/W2030329314","https://openalex.org/W2031211320","https://openalex.org/W2055385272","https://openalex.org/W2065424480","https://openalex.org/W2097466660","https://openalex.org/W2099454382","https://openalex.org/W2106186328","https://openalex.org/W2150397642","https://openalex.org/W2153114715","https://openalex.org/W2170524206","https://openalex.org/W2304609584","https://openalex.org/W2617896574","https://openalex.org/W2787195773","https://openalex.org/W4297817495"],"related_works":["https://openalex.org/W2035329725","https://openalex.org/W4376641153","https://openalex.org/W2070875936","https://openalex.org/W4250391473","https://openalex.org/W3045075405","https://openalex.org/W4302292679","https://openalex.org/W2111212810","https://openalex.org/W2188351135","https://openalex.org/W4303980532","https://openalex.org/W2999163388"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"an":[3,16],"ensemble":[4],"learning":[5,121],"(EL)":[6],"framework":[7],"is":[8,31,43,85,100],"adopted":[9],"for":[10,44,93,118],"cooperative":[11],"spectrum":[12,41],"sensing":[13,42],"(CSS)":[14],"in":[15,66,141],"orthogonal":[17],"frequency":[18],"division":[19],"multiplexing":[20],"(OFDM)":[21],"signal":[22],"based":[23],"cognitive":[24],"radio":[25],"system.":[26],"Each":[27],"secondary":[28],"user":[29],"(SU)":[30],"accordingly":[32],"considered":[33],"as":[34,69,71,87,92],"a":[35],"base":[36],"learner,":[37],"where":[38],"the":[39,46,72,80,88,94,97,104,108,111,115,122,129,144],"local":[40],"investigating":[45],"probability":[47,146,150],"of":[48,76,125,128,143],"PU":[49,130],"being":[50],"inactive":[51],"or":[52,147],"active.":[53],"The":[54],"convolution":[55],"neural":[56],"networks":[57],"with":[58],"simple":[59],"architecture":[60],"are":[61],"applied":[62],"given":[63],"its":[64],"strength":[65],"image":[67],"recognition":[68],"well":[70],"limited":[73],"computation":[74],"ability":[75],"each":[77],"SU,":[78],"meanwhile,":[79],"cyclic":[81],"spectral":[82],"correlation":[83],"feature":[84],"introduced":[86],"input":[89],"data.":[90],"Here,":[91],"supervised":[95],"learning,":[96],"bagging":[98],"strategy":[99],"helped":[101],"to":[102],"establish":[103],"training":[105],"database.":[106],"For":[107],"global":[109],"decision,":[110],"fusion":[112],"center":[113],"employs":[114],"stacked":[116],"generalization":[117],"further":[119],"combination":[120],"SU":[123],"output":[124],"classification":[126],"pre-prediction":[127],"status.":[131],"Our":[132],"method":[133],"shows":[134],"significant":[135],"advantages":[136],"over":[137],"conventional":[138],"CSS":[139],"methods":[140],"term":[142],"detection":[145],"false":[148],"alarm":[149],"performance.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}