{"id":"https://openalex.org/W4376108443","doi":"https://doi.org/10.1007/s11042-023-15722-1","title":"Insulator detection using small samples based on YOLOv5 in natural background","display_name":"Insulator detection using small samples based on YOLOv5 in natural background","publication_year":2023,"publication_date":"2023-05-09","ids":{"openalex":"https://openalex.org/W4376108443","doi":"https://doi.org/10.1007/s11042-023-15722-1"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-023-15722-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-023-15722-1","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","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/A5030659829","display_name":"Yanli Yang","orcid":"https://orcid.org/0000-0003-1919-8857"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanli Yang","raw_affiliation_strings":["Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tiangong University, Binshuixi Road 399, Xiqing District, Tianjin, 300387, China","Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tiangong University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tiangong University, Binshuixi Road 399, Xiqing District, Tianjin, 300387, China","institution_ids":["https://openalex.org/I198091727"]},{"raw_affiliation_string":"Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tiangong University, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101903875","display_name":"Xinlin Wang","orcid":"https://orcid.org/0000-0003-1224-4611"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinlin Wang","raw_affiliation_strings":["Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tiangong University, Binshuixi Road 399, Xiqing District, Tianjin, 300387, China","Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tiangong University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tiangong University, Binshuixi Road 399, Xiqing District, Tianjin, 300387, China","institution_ids":["https://openalex.org/I198091727"]},{"raw_affiliation_string":"Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tiangong University, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030659829"],"corresponding_institution_ids":["https://openalex.org/I198091727"],"apc_list":null,"apc_paid":null,"fwci":1.0994,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.79312012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"82","issue":"29","first_page":"44841","last_page":"44857"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9988999962806702,"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":0.9988999962806702,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9879999756813049,"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/T13715","display_name":"Power Line Inspection Robots","score":0.9869999885559082,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8266814351081848},{"id":"https://openalex.org/keywords/insulator","display_name":"Insulator (electricity)","score":0.6819144487380981},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.572169840335846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5308970808982849},{"id":"https://openalex.org/keywords/mainstream","display_name":"Mainstream","score":0.4861313998699188},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4669642746448517},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41816338896751404},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4138805866241455},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38678109645843506},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3278149962425232},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1257021427154541},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10098731517791748},{"id":"https://openalex.org/keywords/optoelectronics","display_name":"Optoelectronics","score":0.06695938110351562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8266814351081848},{"id":"https://openalex.org/C212702","wikidata":"https://www.wikidata.org/wiki/Q178150","display_name":"Insulator (electricity)","level":2,"score":0.6819144487380981},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.572169840335846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5308970808982849},{"id":"https://openalex.org/C2777617010","wikidata":"https://www.wikidata.org/wiki/Q18957","display_name":"Mainstream","level":2,"score":0.4861313998699188},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4669642746448517},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41816338896751404},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4138805866241455},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38678109645843506},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3278149962425232},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1257021427154541},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10098731517791748},{"id":"https://openalex.org/C49040817","wikidata":"https://www.wikidata.org/wiki/Q193091","display_name":"Optoelectronics","level":1,"score":0.06695938110351562},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"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":1,"locations":[{"id":"doi:10.1007/s11042-023-15722-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-023-15722-1","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G1587269430","display_name":null,"funder_award_id":"19JCYBJC16400","funder_id":"https://openalex.org/F4320335468","funder_display_name":"Natural Science Foundation of Tianjin Municipal Science and Technology Commission"}],"funders":[{"id":"https://openalex.org/F4320335468","display_name":"Natural Science Foundation of Tianjin Municipal Science and Technology Commission","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W2065039610","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2193145675","https://openalex.org/W2243417253","https://openalex.org/W2570343428","https://openalex.org/W2766447205","https://openalex.org/W2806070179","https://openalex.org/W2890533361","https://openalex.org/W2897772777","https://openalex.org/W2923974506","https://openalex.org/W2963037989","https://openalex.org/W2963484278","https://openalex.org/W2963857746","https://openalex.org/W2975293816","https://openalex.org/W2977798290","https://openalex.org/W3005451572","https://openalex.org/W3106250896","https://openalex.org/W3123582872","https://openalex.org/W3127379978","https://openalex.org/W3134054343","https://openalex.org/W3136421595","https://openalex.org/W3193330598","https://openalex.org/W6601936271"],"related_works":["https://openalex.org/W2377237701","https://openalex.org/W2360099860","https://openalex.org/W4323893170","https://openalex.org/W1583826057","https://openalex.org/W2352463596","https://openalex.org/W2380850119","https://openalex.org/W2101450440","https://openalex.org/W2383675217","https://openalex.org/W2376151201","https://openalex.org/W3000197790"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
