{"id":"https://openalex.org/W3118675553","doi":"https://doi.org/10.3390/s21020450","title":"Frequency-Domain Fusing Convolutional Neural Network: A Unified Architecture Improving Effect of Domain Adaptation for Fault Diagnosis","display_name":"Frequency-Domain Fusing Convolutional Neural Network: A Unified Architecture Improving Effect of Domain Adaptation for Fault Diagnosis","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3118675553","doi":"https://doi.org/10.3390/s21020450","mag":"3118675553","pmid":"https://pubmed.ncbi.nlm.nih.gov/33435258"},"language":"en","primary_location":{"id":"doi:10.3390/s21020450","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21020450","pdf_url":"https://www.mdpi.com/1424-8220/21/2/450/pdf?version=1610288096","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/2/450/pdf?version=1610288096","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100354502","display_name":"Xudong Li","orcid":"https://orcid.org/0000-0002-4279-3024"},"institutions":[{"id":"https://openalex.org/I4210115570","display_name":"National Space Science Center","ror":"https://ror.org/02nnjtm50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210115570"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Li","raw_affiliation_strings":["National Space Science Center.CAS, University of Chinese Academy of Sciences, Beijing 100190, China"],"raw_orcid":"https://orcid.org/0000-0002-4279-3024","affiliations":[{"raw_affiliation_string":"National Space Science Center.CAS, University of Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210115570","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100633350","display_name":"Jianhua Zheng","orcid":"https://orcid.org/0000-0003-0224-0270"},"institutions":[{"id":"https://openalex.org/I4210115570","display_name":"National Space Science Center","ror":"https://ror.org/02nnjtm50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210115570"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Zheng","raw_affiliation_strings":["National Space Science Center.CAS, University of Chinese Academy of Sciences, Beijing 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Space Science Center.CAS, University of Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210115570","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100642459","display_name":"Mingtao Li","orcid":"https://orcid.org/0000-0002-1625-4115"},"institutions":[{"id":"https://openalex.org/I4210115570","display_name":"National Space Science Center","ror":"https://ror.org/02nnjtm50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210115570"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingtao Li","raw_affiliation_strings":["National Space Science Center.CAS, University of Chinese Academy of Sciences, Beijing 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Space Science Center.CAS, University of Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210115570","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072107176","display_name":"Wenzhen Ma","orcid":"https://orcid.org/0000-0001-7468-1871"},"institutions":[{"id":"https://openalex.org/I4210115570","display_name":"National Space Science Center","ror":"https://ror.org/02nnjtm50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210115570"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzhen Ma","raw_affiliation_strings":["National Space Science Center.CAS, University of Chinese Academy of Sciences, Beijing 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Space Science Center.CAS, University of Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210115570","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101569166","display_name":"Yang Hu","orcid":"https://orcid.org/0000-0001-6974-6255"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yang Hu","raw_affiliation_strings":["Science and Technology on Complex Aviation System Simulation Laboratory, Beijing 100076, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Complex Aviation System Simulation Laboratory, Beijing 100076, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101569166"],"corresponding_institution_ids":[],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.9143,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.9065681,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"21","issue":"2","first_page":"450","last_page":"450"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9232000112533569,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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":0.7648236751556396},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7189323306083679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6230801343917847},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.6177718639373779},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5802609920501709},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5519093871116638},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5366942286491394},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5073060393333435},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.506461501121521},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5038091540336609},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47932636737823486},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44907504320144653},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44570600986480713},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4347403943538666},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3354301452636719},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.12754687666893005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7648236751556396},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7189323306083679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6230801343917847},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.6177718639373779},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5802609920501709},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5519093871116638},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5366942286491394},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5073060393333435},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.506461501121521},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5038091540336609},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47932636737823486},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44907504320144653},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44570600986480713},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4347403943538666},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3354301452636719},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.12754687666893005},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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":6,"locations":[{"id":"doi:10.3390/s21020450","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21020450","pdf_url":"https://www.mdpi.com/1424-8220/21/2/450/pdf?version=1610288096","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:33435258","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33435258","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:a491829fced74127a4683173d9ca1be3","is_oa":true,"landing_page_url":"https://doaj.org/article/a491829fced74127a4683173d9ca1be3","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":"Sensors, Vol 21, Iss 2, p 450 (2021)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:6733747","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC7827720","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/2/450/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21020450","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 2; Pages: 450","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7827720","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7827720","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21020450","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21020450","pdf_url":"https://www.mdpi.com/1424-8220/21/2/450/pdf?version=1610288096","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G4842825308","display_name":null,"funder_award_id":"61703431","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/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"},{"id":"https://openalex.org/F4320335892","display_name":"Youth Innovation Promotion Association","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3118675553.pdf","grobid_xml":"https://content.openalex.org/works/W3118675553.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W179892336","https://openalex.org/W243674440","https://openalex.org/W1966973902","https://openalex.org/W1967352108","https://openalex.org/W2010186890","https://openalex.org/W2028119131","https://openalex.org/W2060304859","https://openalex.org/W2066980082","https://openalex.org/W2072378835","https://openalex.org/W2094099988","https://openalex.org/W2131953535","https://openalex.org/W2165698076","https://openalex.org/W2187089797","https://openalex.org/W2286929393","https://openalex.org/W2395579298","https://openalex.org/W2467286621","https://openalex.org/W2530133016","https://openalex.org/W2592939477","https://openalex.org/W2630837129","https://openalex.org/W2731372149","https://openalex.org/W2735326783","https://openalex.org/W2738563279","https://openalex.org/W2782812883","https://openalex.org/W2786808285","https://openalex.org/W2791694051","https://openalex.org/W2798149494","https://openalex.org/W2808496542","https://openalex.org/W2810292802","https://openalex.org/W2898375427","https://openalex.org/W2898760173","https://openalex.org/W2903917280","https://openalex.org/W2904218127","https://openalex.org/W2921168912","https://openalex.org/W2940156133","https://openalex.org/W2943439651","https://openalex.org/W2946724317","https://openalex.org/W2947583263","https://openalex.org/W2957568672","https://openalex.org/W2957643644","https://openalex.org/W2963168418","https://openalex.org/W2964288524","https://openalex.org/W2966704097","https://openalex.org/W2969596529","https://openalex.org/W2973424371","https://openalex.org/W2990226288","https://openalex.org/W2996977991","https://openalex.org/W2998506103","https://openalex.org/W3006342871","https://openalex.org/W3022604663","https://openalex.org/W3039883906","https://openalex.org/W6766355799"],"related_works":["https://openalex.org/W3183901164","https://openalex.org/W2951211570","https://openalex.org/W3176438653","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W2964954556","https://openalex.org/W3167935049","https://openalex.org/W3003905048","https://openalex.org/W2253429366","https://openalex.org/W3127975138"],"abstract_inverted_index":{"In":[0,29,87],"recent":[1],"years,":[2],"transfer":[3,45],"learning":[4],"has":[5],"been":[6],"widely":[7,55],"applied":[8],"in":[9,44],"fault":[10],"diagnosis":[11,173],"for":[12,103,166],"solving":[13],"the":[14,20,25,31,37,40,53,84,153,172,179],"problem":[15,38],"of":[16,19,39,116],"inconsistent":[17],"distribution":[18],"original":[21],"training":[22],"dataset":[23,43],"and":[24,76,124,141,159,171],"online-collecting":[26],"testing":[27,42],"dataset.":[28],"particular,":[30],"domain":[32,60,101,105,161,168],"adaptation":[33,61,106,169],"method":[34,115],"can":[35],"solve":[36],"unlabeled":[41],"learning.":[46],"Moreover,":[47],"Convolutional":[48,110],"Neural":[49,111],"Network":[50,112],"(CNN)":[51],"is":[52,73,78,175],"most":[54],"used":[56],"network":[57,71,80,96],"among":[58],"existing":[59],"approaches":[62],"due":[63],"to":[64,134,152,156,178],"its":[65],"powerful":[66],"feature":[67,125,154],"extraction":[68],"capability.":[69],"However,":[70],"designing":[72,81],"too":[74],"empirical,":[75],"there":[77],"no":[79],"principle":[82],"from":[83,98],"frequency":[85,100,139],"domain.":[86],"this":[88],"paper,":[89],"we":[90],"propose":[91],"a":[92,99,104],"unified":[93],"convolutional":[94],"neural":[95],"architecture":[97],"perspective":[102],"named":[107],"Frequency-domain":[108],"Fusing":[109],"(FFCNN).":[113],"The":[114,127],"FFCNN":[117,165],"contains":[118],"two":[119],"parts,":[120],"frequency-domain":[121,128],"fusing":[122,129],"layer":[123,130],"extractor.":[126],"uses":[131],"convolution":[132],"operations":[133],"filter":[135],"signals":[136,149],"at":[137],"different":[138],"bands":[140],"combines":[142],"them":[143],"into":[144],"new":[145],"input":[146,151],"signals.":[147],"These":[148],"are":[150],"extractor":[155],"extract":[157],"features":[158],"make":[160],"adaptation.":[162],"We":[163],"apply":[164],"three":[167],"methods,":[170],"accuracy":[174],"improved":[176],"compared":[177],"typical":[180],"CNN.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
