{"id":"https://openalex.org/W4392779942","doi":"https://doi.org/10.1142/s0219467825500597","title":"Optimization Research of Bird Detection Algorithm Based on YOLO in Deep Learning Environment","display_name":"Optimization Research of Bird Detection Algorithm Based on YOLO in Deep Learning Environment","publication_year":2024,"publication_date":"2024-03-12","ids":{"openalex":"https://openalex.org/W4392779942","doi":"https://doi.org/10.1142/s0219467825500597"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467825500597","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467825500597","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-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/A5074679809","display_name":"Xi Chen","orcid":"https://orcid.org/0000-0001-9223-0302"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Chen","raw_affiliation_strings":["CICT Mobile Communication Technology Co. Ltd., Beijing 100083, P. R. China"],"raw_orcid":"https://orcid.org/0000-0001-9223-0302","affiliations":[{"raw_affiliation_string":"CICT Mobile Communication Technology Co. Ltd., Beijing 100083, P. R. China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zhenyu Zhang","orcid":"https://orcid.org/0009-0002-6837-3463"},"institutions":[{"id":"https://openalex.org/I34155123","display_name":"Hebei University of Science and Technology","ror":"https://ror.org/05h3pkk68","country_code":"CN","type":"education","lineage":["https://openalex.org/I34155123"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenyu Zhang","raw_affiliation_strings":["FedUni Information Engineering Institute, Hebei University of Science and Technology, Hebei 050027, P. R. China"],"raw_orcid":"https://orcid.org/0009-0002-6837-3463","affiliations":[{"raw_affiliation_string":"FedUni Information Engineering Institute, Hebei University of Science and Technology, Hebei 050027, P. R. China","institution_ids":["https://openalex.org/I34155123"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I34155123"],"apc_list":null,"apc_paid":null,"fwci":1.3281,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79076923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"25","issue":"06","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.9193000197410583,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.9193000197410583,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/creatures","display_name":"Creatures","score":0.6314103007316589},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5844059586524963},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5741420388221741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5444846749305725},{"id":"https://openalex.org/keywords/camouflage","display_name":"Camouflage","score":0.4831475615501404},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47336408495903015},{"id":"https://openalex.org/keywords/habitat","display_name":"Habitat","score":0.463158518075943},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4447614252567291},{"id":"https://openalex.org/keywords/benthic-habitat","display_name":"Benthic habitat","score":0.41261982917785645},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37647515535354614},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.3255454897880554},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2502827048301697},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12675884366035461},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11117887496948242},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.0818554162979126}],"concepts":[{"id":"https://openalex.org/C86792732","wikidata":"https://www.wikidata.org/wiki/Q1416338","display_name":"Creatures","level":3,"score":0.6314103007316589},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5844059586524963},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5741420388221741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5444846749305725},{"id":"https://openalex.org/C2776196576","wikidata":"https://www.wikidata.org/wiki/Q196113","display_name":"Camouflage","level":2,"score":0.4831475615501404},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47336408495903015},{"id":"https://openalex.org/C185933670","wikidata":"https://www.wikidata.org/wiki/Q52105","display_name":"Habitat","level":2,"score":0.463158518075943},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4447614252567291},{"id":"https://openalex.org/C2993018843","wikidata":"https://www.wikidata.org/wiki/Q686881","display_name":"Benthic habitat","level":3,"score":0.41261982917785645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37647515535354614},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.3255454897880554},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2502827048301697},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12675884366035461},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11117887496948242},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.0818554162979126},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467825500597","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467825500597","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W56385144","https://openalex.org/W1536680647","https://openalex.org/W1980526845","https://openalex.org/W2118696714","https://openalex.org/W2151103935","https://openalex.org/W2476585853","https://openalex.org/W2761785940","https://openalex.org/W2791704940","https://openalex.org/W2883595988","https://openalex.org/W2884367402","https://openalex.org/W2929565236","https://openalex.org/W3001172718","https://openalex.org/W3013964275","https://openalex.org/W3016247275","https://openalex.org/W3037031742","https://openalex.org/W3176709420","https://openalex.org/W3208248311","https://openalex.org/W4280630079","https://openalex.org/W4282960306","https://openalex.org/W4283801394","https://openalex.org/W4285403932","https://openalex.org/W4307431327","https://openalex.org/W4311574907","https://openalex.org/W4312224169","https://openalex.org/W4322587910","https://openalex.org/W4322705349","https://openalex.org/W4323066413"],"related_works":["https://openalex.org/W2978048274","https://openalex.org/W2348329006","https://openalex.org/W2379031960","https://openalex.org/W2376458710","https://openalex.org/W2231217681","https://openalex.org/W2914759737","https://openalex.org/W2984158411","https://openalex.org/W4253283976","https://openalex.org/W4231347762","https://openalex.org/W2376883898"],"abstract_inverted_index":{"Recent":[0],"environmental":[1],"degradation":[2],"has":[3,66],"led":[4],"to":[5,27,42,103],"an":[6,114],"unparalleled":[7],"decline":[8],"in":[9,14,18],"wild":[10],"bird":[11,19,44,53,64,116],"habitats,":[12,47],"resulting":[13],"a":[15,58,120],"worldwide":[16],"decrease":[17],"populations.":[20],"To":[21,86],"prevent":[22],"extinction,":[23],"it":[24],"is":[25],"vital":[26],"implement":[28],"protective":[29],"measures.":[30],"One":[31],"effective":[32],"solution":[33],"could":[34],"be":[35],"the":[36,104,110],"application":[37],"of":[38,60,91,96,125],"deep":[39],"learning":[40],"techniques":[41],"identify":[43],"species":[45,65],"and":[46,55,69,83,93],"which":[48],"would":[49],"prove":[50],"useful":[51],"for":[52],"enthusiasts":[54],"rescuers.":[56],"Therefore,":[57],"dataset":[59],"20":[61],"globally":[62],"prized":[63],"been":[67],"collated":[68],"analyzed.":[70],"The":[71,106],"Bird-YOLO":[72,111],"algorithm":[73,112],"precisely":[74],"identifies":[75],"avian":[76],"creatures":[77],"by":[78],"combining":[79],"neural":[80],"architecture":[81],"search":[82],"knowledge":[84],"distillation.":[85],"diminish":[87],"noise":[88],"interference,":[89],"preprocessing":[90],"images":[92],"dimension":[94],"clustering":[95],"prior":[97,102],"boxes":[98],"are":[99],"carried":[100],"out":[101],"training.":[105],"experiments":[107],"show":[108],"that":[109],"attains":[113],"88.23%":[115],"recognition":[117],"rate,":[118],"with":[119],"frames":[121],"per":[122],"second":[123],"(FPS)":[124],"47.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
