{"id":"https://openalex.org/W4400947976","doi":"https://doi.org/10.1145/3672919.3673002","title":"Valve Part Inspection Algorithm Based on improved YOLOv8n","display_name":"Valve Part Inspection Algorithm Based on improved YOLOv8n","publication_year":2024,"publication_date":"2024-03-01","ids":{"openalex":"https://openalex.org/W4400947976","doi":"https://doi.org/10.1145/3672919.3673002"},"language":"en","primary_location":{"id":"doi:10.1145/3672919.3673002","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3672919.3673002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy","raw_type":"proceedings-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":null,"display_name":"Haojie Zhang","orcid":"https://orcid.org/0009-0002-0264-2237"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haojie Zhang","raw_affiliation_strings":["Jiangsu University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0002-0264-2237","affiliations":[{"raw_affiliation_string":"Jiangsu University of Science and Technology, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hong Li","orcid":"https://orcid.org/0009-0001-2844-6333"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Li","raw_affiliation_strings":["Jiangsu University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0001-2844-6333","affiliations":[{"raw_affiliation_string":"Jiangsu University of Science and Technology, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004338194","display_name":"Ligang Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ligang Zhao","raw_affiliation_strings":["Jiangsu University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0009-7256-7720","affiliations":[{"raw_affiliation_string":"Jiangsu University of Science and Technology, China","institution_ids":["https://openalex.org/I4210096899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210096899"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15075023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"456","last_page":"461"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T13715","display_name":"Power Line Inspection Robots","score":0.9589999914169312,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9492999911308289,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.6158459782600403},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.403233140707016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6158459782600403},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.403233140707016}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3672919.3673002","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3672919.3673002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2930500180","https://openalex.org/W2946948417","https://openalex.org/W2963420686","https://openalex.org/W3145444543","https://openalex.org/W4281679836","https://openalex.org/W4362588662","https://openalex.org/W4367053858","https://openalex.org/W4377241880"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,7,19,23,35,42,48,53,57,62,66,69,80,87,91,94,101,106,109,119,123,129,138],"low":[3],"recognition":[4],"accuracy":[5,140],"of":[6,44,56,68,85,93,111,141],"YOLOv8n":[8,36,130],"algorithm":[9,32,121,131],"due":[10],"to":[11,25,51,64,89,132],"light,":[12],"parts":[13,97,144],"stacking":[14],"and":[15,22,27,61],"other":[16],"problems":[17],"in":[18,145],"storage":[20],"environment,":[21,103],"susceptibility":[24],"leakage":[26],"misdetection,":[28],"an":[29],"improved":[30,120],"detection":[31],"based":[33],"on":[34],"model":[37],"is":[38,59,72,98],"proposed.":[39],"By":[40],"embedding":[41],"method":[43],"CBAM":[45],"attention":[46],"mechanism,":[47],"network's":[49],"ability":[50,63,88],"extract":[52,90],"fine":[54],"features":[55,67,92],"valve":[58,96,143],"enhanced,":[60],"capture":[65],"small":[70],"target":[71],"improved;":[73],"by":[74,125],"introducing":[75],"Efficient":[76],"Net":[77],"V2":[78],"as":[79],"backbone":[81],"feature":[82],"extraction":[83],"network":[84,107],"YOLOv8n,":[86],"complex":[95,102,146],"enhanced":[99],"under":[100],"so":[104],"that":[105,118],"obtains":[108],"effect":[110],"more":[112],"robustness.":[113],"The":[114],"experimental":[115],"results":[116],"show":[117],"improves":[122],"mAP":[124],"2.6%":[126],"compared":[127],"with":[128],"98.9%,":[133],"which":[134],"can":[135],"effectively":[136],"improve":[137],"algorithm's":[139],"identifying":[142],"environments.":[147]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}