{"id":"https://openalex.org/W4362496476","doi":"https://doi.org/10.1109/access.2023.3264214","title":"Context-Aware and Attention-Driven Weighted Fusion Traffic Sign Detection Network","display_name":"Context-Aware and Attention-Driven Weighted Fusion Traffic Sign Detection Network","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4362496476","doi":"https://doi.org/10.1109/access.2023.3264214"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3264214","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3264214","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10091556.pdf","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://ieeexplore.ieee.org/ielx7/6287639/6514899/10091556.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042203658","display_name":"Guibao Wang","orcid":"https://orcid.org/0000-0002-6860-4594"},"institutions":[{"id":"https://openalex.org/I187175081","display_name":"Shaanxi University of Technology","ror":"https://ror.org/056m91h77","country_code":"CN","type":"education","lineage":["https://openalex.org/I187175081"]},{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guibao Wang","raw_affiliation_strings":["School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi’an, China","School of Physics and Telecommunication Engineering, Shaanxi University of Technology, Hanzhong, China"],"raw_orcid":"https://orcid.org/0000-0002-6860-4594","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi’an, China","institution_ids":["https://openalex.org/I51622183"]},{"raw_affiliation_string":"School of Physics and Telecommunication Engineering, Shaanxi University of Technology, Hanzhong, China","institution_ids":["https://openalex.org/I187175081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100722046","display_name":"Kun Zhou","orcid":"https://orcid.org/0000-0001-9592-6575"},"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":"Kun Zhou","raw_affiliation_strings":["School of Physics, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009116003","display_name":"Lizhe Wang","orcid":"https://orcid.org/0000-0003-2766-0845"},"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":"Lizhe Wang","raw_affiliation_strings":["School of Physics, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057730913","display_name":"Lanmei Wang","orcid":"https://orcid.org/0000-0003-3095-6655"},"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":"Lanmei Wang","raw_affiliation_strings":["School of Physics, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-3095-6655","affiliations":[{"raw_affiliation_string":"School of Physics, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.2336,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.89913455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"42104","last_page":"42112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T13282","display_name":"Automated Road and Building Extraction","score":0.9782000184059143,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.8359933495521545},{"id":"https://openalex.org/keywords/traffic-sign-recognition","display_name":"Traffic sign recognition","score":0.6957179307937622},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6679104566574097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6241993308067322},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5998058915138245},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5972021222114563},{"id":"https://openalex.org/keywords/traffic-sign","display_name":"Traffic sign","score":0.5945179462432861},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5720196962356567},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5434953570365906},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5298678278923035},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.49475544691085815},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.47962722182273865},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4618507921695709},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.44836920499801636},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4378047287464142},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.413303941488266},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.3976660966873169},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19805479049682617},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.16612228751182556},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07258692383766174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8359933495521545},{"id":"https://openalex.org/C6528762","wikidata":"https://www.wikidata.org/wiki/Q1574298","display_name":"Traffic sign recognition","level":4,"score":0.6957179307937622},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6679104566574097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6241993308067322},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5998058915138245},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5972021222114563},{"id":"https://openalex.org/C2983860417","wikidata":"https://www.wikidata.org/wiki/Q170285","display_name":"Traffic sign","level":3,"score":0.5945179462432861},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5720196962356567},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5434953570365906},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5298678278923035},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.49475544691085815},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.47962722182273865},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4618507921695709},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.44836920499801636},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4378047287464142},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.413303941488266},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.3976660966873169},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19805479049682617},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.16612228751182556},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07258692383766174},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3264214","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3264214","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10091556.pdf","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:b348ac886a4042848ba02aea09276b02","is_oa":true,"landing_page_url":"https://doaj.org/article/b348ac886a4042848ba02aea09276b02","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 11, Pp 42104-42112 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3264214","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3264214","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10091556.pdf","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":[{"display_name":"Sustainable cities and communities","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1289886130","display_name":null,"funder_award_id":"2021GY-182","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"},{"id":"https://openalex.org/G1841988590","display_name":null,"funder_award_id":"2020GY-024","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3210430050","display_name":null,"funder_award_id":"2021GY-182","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4287865964","display_name":"\u5168\u5929\u5019\u884c\u4eba\u91cd\u8bc6\u522b\u6280\u672f\u7814\u7a76","funder_award_id":"62071122","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4874487082","display_name":null,"funder_award_id":"2020GY-024","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"},{"id":"https://openalex.org/G8576138039","display_name":"\u591a\u6e90\u534f\u540c\u8fd1\u5730\u76ee\u6807\u667a\u80fd\u8bc6\u522b\u548c\u5b9a\u4f4d\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61972239","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/F4320336350","display_name":"Key Research and Development Projects of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4362496476.pdf","grobid_xml":"https://content.openalex.org/works/W4362496476.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W401751405","https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1901129140","https://openalex.org/W2013139595","https://openalex.org/W2066327668","https://openalex.org/W2079854881","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2161969291","https://openalex.org/W2194775991","https://openalex.org/W2472350142","https://openalex.org/W2479866714","https://openalex.org/W2808910047","https://openalex.org/W2883780447","https://openalex.org/W2884561390","https://openalex.org/W2912512021","https://openalex.org/W2940955785","https://openalex.org/W2962721361","https://openalex.org/W2962951509","https://openalex.org/W2963037989","https://openalex.org/W2963542991","https://openalex.org/W2963925437","https://openalex.org/W2981413347","https://openalex.org/W2982083293","https://openalex.org/W2990230185","https://openalex.org/W2993756598","https://openalex.org/W2995764040","https://openalex.org/W3004860639","https://openalex.org/W3009396058","https://openalex.org/W3018757597","https://openalex.org/W3034885317","https://openalex.org/W3034971973","https://openalex.org/W3096609285","https://openalex.org/W3106250896","https://openalex.org/W3106753828","https://openalex.org/W3138516171","https://openalex.org/W3157288834","https://openalex.org/W3157386596","https://openalex.org/W3157402434","https://openalex.org/W3164024107","https://openalex.org/W3177052299","https://openalex.org/W3180134609","https://openalex.org/W3183430956","https://openalex.org/W4210667216","https://openalex.org/W4297775537","https://openalex.org/W4298395628","https://openalex.org/W4385245566","https://openalex.org/W6629368666","https://openalex.org/W6639824700","https://openalex.org/W6737664043","https://openalex.org/W6739901393","https://openalex.org/W6753767121","https://openalex.org/W6763367864","https://openalex.org/W6764945797","https://openalex.org/W6777046832","https://openalex.org/W6785652829","https://openalex.org/W6794074491","https://openalex.org/W6795475546"],"related_works":["https://openalex.org/W3205445068","https://openalex.org/W4382897155","https://openalex.org/W4379231512","https://openalex.org/W4283820116","https://openalex.org/W4378699879","https://openalex.org/W3161591591","https://openalex.org/W3128164723","https://openalex.org/W3134004915","https://openalex.org/W4286647459","https://openalex.org/W2899819381"],"abstract_inverted_index":{"The":[0,119],"detection":[1,17],"and":[2,14,21,33,82,99,108,115,134],"recognition":[3],"of":[4,18,45,53,61,89,96,105,113],"traffic":[5,39,117,124],"signs":[6],"in":[7,102],"complex":[8],"environments":[9],"has":[10],"received":[11],"extensive":[12],"attention,":[13],"the":[15,43,51,59,68,87,94,103,110,123,130],"correct":[16],"small":[19,114],"targets":[20,23],"occluded":[22,64,116],"are":[24],"two":[25],"key":[26],"issues.":[27],"This":[28],"paper":[29],"proposes":[30],"a":[31],"context-aware":[32],"attention-driven":[34,69],"weighted":[35,70],"fusion":[36,71],"network":[37],"for":[38],"sign":[40,125],"detection.":[41],"Specifically,":[42],"design":[44],"context":[46],"module":[47],"not":[48],"only":[49],"enhances":[50],"diversity":[52],"global":[54],"features,":[55],"but":[56],"also":[57],"reduces":[58],"sensitivity":[60],"convolution":[62],"to":[63,76],"objects.":[65],"In":[66],"addition,":[67],"feature":[72,106],"pyramid":[73],"is":[74,132],"designed":[75],"efficiently":[77],"fuse":[78],"deep":[79],"semantic":[80,97],"information":[81],"shallow":[83],"representation":[84,112],"information,":[85,92],"enhance":[86,109],"transfer":[88],"foreground":[90],"positioning":[91],"eliminate":[93],"problems":[95],"spacing":[98],"noise":[100],"interference":[101],"process":[104],"fusion,":[107],"network\u2019s":[111],"signs.":[118],"experimental":[120],"results":[121],"on":[122],"dataset":[126],"TT100K":[127],"show":[128],"that":[129],"method":[131],"effective":[133],"superior.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}