{"id":"https://openalex.org/W4407138331","doi":"https://doi.org/10.1080/08839514.2025.2462371","title":"A Composite Recognition Method Based on Multimode Mutual Attention Fusion Network","display_name":"A Composite Recognition Method Based on Multimode Mutual Attention Fusion Network","publication_year":2025,"publication_date":"2025-02-04","ids":{"openalex":"https://openalex.org/W4407138331","doi":"https://doi.org/10.1080/08839514.2025.2462371"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2025.2462371","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2025.2462371","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/08839514.2025.2462371","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029383780","display_name":"Xing Ding","orcid":"https://orcid.org/0000-0002-4724-215X"},"institutions":[{"id":"https://openalex.org/I4210115146","display_name":"Guizhou Electromechanical Research and Design Institute","ror":"https://ror.org/01hy8fk80","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210115146"]},{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Ding","raw_affiliation_strings":["Xidian University","Xi\u2019an Electromechanical Information Technology Research Institute"],"affiliations":[{"raw_affiliation_string":"Xidian University","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xi\u2019an Electromechanical Information Technology Research Institute","institution_ids":["https://openalex.org/I4210115146"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049776440","display_name":"Xiangrong Zhang","orcid":"https://orcid.org/0000-0003-0379-2042"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangrong Zhang","raw_affiliation_strings":["Xidian University"],"affiliations":[{"raw_affiliation_string":"Xidian University","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019539746","display_name":"Chao Liang","orcid":"https://orcid.org/0000-0002-9089-6546"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Liang","raw_affiliation_strings":["Xidian University","Xi\u2019an Modern Control Technology Research Institute"],"affiliations":[{"raw_affiliation_string":"Xidian University","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xi\u2019an Modern Control Technology Research Institute","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114377956","display_name":"Bo Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["Xidian University"],"affiliations":[{"raw_affiliation_string":"Xidian University","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073278575","display_name":"Lanjie Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115146","display_name":"Guizhou Electromechanical Research and Design Institute","ror":"https://ror.org/01hy8fk80","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210115146"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lanjie Niu","raw_affiliation_strings":["Xi\u2019an Electromechanical Information Technology Research Institute"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Electromechanical Information Technology Research Institute","institution_ids":["https://openalex.org/I4210115146"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5049776440"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":{"value":2195,"currency":"USD","value_usd":2195},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01337262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9713000059127808,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8584834337234497},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5800937414169312},{"id":"https://openalex.org/keywords/composite-number","display_name":"Composite number","score":0.5682770609855652},{"id":"https://openalex.org/keywords/multi-mode-optical-fiber","display_name":"Multi-mode optical fiber","score":0.5246898531913757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4603898227214813},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3777899146080017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.331768274307251},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3225747346878052},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22179695963859558},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19341710209846497},{"id":"https://openalex.org/keywords/optical-fiber","display_name":"Optical fiber","score":0.07339227199554443}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8584834337234497},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5800937414169312},{"id":"https://openalex.org/C104779481","wikidata":"https://www.wikidata.org/wiki/Q50707","display_name":"Composite number","level":2,"score":0.5682770609855652},{"id":"https://openalex.org/C101645829","wikidata":"https://www.wikidata.org/wiki/Q1781857","display_name":"Multi-mode optical fiber","level":3,"score":0.5246898531913757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4603898227214813},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3777899146080017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.331768274307251},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3225747346878052},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22179695963859558},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19341710209846497},{"id":"https://openalex.org/C194232370","wikidata":"https://www.wikidata.org/wiki/Q162","display_name":"Optical fiber","level":2,"score":0.07339227199554443},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/08839514.2025.2462371","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2025.2462371","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1e971da7562f4c35ac778429c0ff2293","is_oa":true,"landing_page_url":"https://doaj.org/article/1e971da7562f4c35ac778429c0ff2293","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 39, Iss 1 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2025.2462371","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2025.2462371","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2796096089","https://openalex.org/W2946888629","https://openalex.org/W2951517617","https://openalex.org/W3042403800","https://openalex.org/W3108426750","https://openalex.org/W3167991863","https://openalex.org/W3195378344","https://openalex.org/W4205139417","https://openalex.org/W4226462449","https://openalex.org/W6764117818"],"related_works":["https://openalex.org/W3189198594","https://openalex.org/W1994501894","https://openalex.org/W4399872492","https://openalex.org/W3103571109","https://openalex.org/W1971004923","https://openalex.org/W3205189634","https://openalex.org/W2020214573","https://openalex.org/W3128029401","https://openalex.org/W2082785627","https://openalex.org/W2186405655"],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,22,33,42,51,61,71,85,108,113,128,141,150,181,188],"problem":[3],"of":[4,24,35,53,107,112,156,166,173,183],"single-mode":[5],"vulnerability":[6],"to":[7,31,45,70],"complex":[8],"environments,":[9,40],"a":[10,82,135,153,170],"multimode":[11,62,72,114,129],"fusion":[12,55,58,65,75,115,132,137,185],"network":[13,20,76,116,133,151],"with":[14,50,84,117,163],"mutual":[15,63,73,118,130],"attention":[16,64,74,119,131,138],"is":[17,77,91,120],"proposed.":[18],"This":[19],"combines":[21],"use":[23],"laser,":[25],"infrared":[26],"and":[27,60,94,101,145],"millimeter":[28],"wave":[29],"modalities":[30],"leverage":[32],"advantages":[34],"each":[36],"mode":[37],"in":[38,175],"different":[39],"increasing":[41],"network\u2019s":[43],"resilience":[44],"interference.":[46],"The":[47,89,123],"study":[48],"begins":[49],"construction":[52],"pixel-level":[54],"networks,":[56],"feature-weighted":[57],"networks":[59],"network.":[66],"A":[67],"comprehensive":[68],"introduction":[69,182],"given,":[78],"as":[79,81],"well":[80],"comparison":[83],"other":[86],"two":[87],"networks.":[88],"model":[90],"then":[92],"trained":[93],"evaluated":[95],"using":[96],"data":[97],"from":[98],"glide":[99],"rocket":[100],"drone":[102],"experiments.":[103],"Finally,":[104],"an":[105,164],"analysis":[106],"anti-outlier":[109],"interference":[110,177],"capability":[111],"carried":[121],"out.":[122],"test":[124],"results":[125],"show":[126],"that":[127],"containing":[134],"feature":[136],"mechanism":[139],"has":[140,186],"highest":[142],"detection":[143],"performance":[144],"anti-interference":[146],"ability.":[147],"Without":[148],"interference,":[149],"achieves":[152],"remarkable":[154],"accuracy":[155,165],"0.98":[157],"for":[158],"multi-target":[159],"recognition.":[160],"In":[161,179],"addition,":[162,180],"0.96,":[167],"it":[168],"ensures":[169],"high":[171],"level":[172],"stability":[174],"various":[176],"environments.":[178],"multi-scale":[184],"improved":[187],"rocket\u2019s":[189],"speed":[190],"adaptability":[191],"by":[192],"about":[193],"75%.":[194]},"counts_by_year":[],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}
