{"id":"https://openalex.org/W4282043543","doi":"https://doi.org/10.1145/3531232.3531241","title":"Defect Recognition of Printed Circuit Board Based on YOLOv3-DenseNet Optimization Model","display_name":"Defect Recognition of Printed Circuit Board Based on YOLOv3-DenseNet Optimization Model","publication_year":2022,"publication_date":"2022-03-18","ids":{"openalex":"https://openalex.org/W4282043543","doi":"https://doi.org/10.1145/3531232.3531241"},"language":"en","primary_location":{"id":"doi:10.1145/3531232.3531241","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3531232.3531241","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 4th International Conference on Image, Video and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5019578689","display_name":"Stephen C. Yang","orcid":"https://orcid.org/0000-0003-2188-3407"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stephen Yang","raw_affiliation_strings":["Plano West Seinor High School, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Plano West Seinor High School, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023863063","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0002-7335-2563"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101904355","display_name":"Shujie Zhang","orcid":"https://orcid.org/0000-0002-9109-8917"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shujie Zhang","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"62","last_page":"69"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9965000152587891,"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/T13270","display_name":"QR Code Applications and Technologies","score":0.9668999910354614,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.7875968217849731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7364153861999512},{"id":"https://openalex.org/keywords/printed-circuit-board","display_name":"Printed circuit board","score":0.6784576177597046},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.567751944065094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5676445364952087},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5394630432128906},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5214312076568604},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5078325867652893},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.47795820236206055},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46631938219070435},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.44511234760284424},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3331126570701599},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2664605379104614},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15394139289855957}],"concepts":[{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.7875968217849731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7364153861999512},{"id":"https://openalex.org/C120793396","wikidata":"https://www.wikidata.org/wiki/Q173350","display_name":"Printed circuit board","level":2,"score":0.6784576177597046},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.567751944065094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5676445364952087},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5394630432128906},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5214312076568604},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5078325867652893},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.47795820236206055},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46631938219070435},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.44511234760284424},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3331126570701599},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2664605379104614},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15394139289855957},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3531232.3531241","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3531232.3531241","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 4th International Conference on Image, Video and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G4399305755","display_name":null,"funder_award_id":"2021YFF0307103","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2102605133","https://openalex.org/W2132346196","https://openalex.org/W2747355315","https://openalex.org/W2902639616","https://openalex.org/W2909494862","https://openalex.org/W3010136656","https://openalex.org/W3046857037","https://openalex.org/W4206942081","https://openalex.org/W4242753176","https://openalex.org/W4289728238"],"related_works":["https://openalex.org/W4252608911","https://openalex.org/W2184913151","https://openalex.org/W2389426768","https://openalex.org/W3147987719","https://openalex.org/W2599361292","https://openalex.org/W2698654916","https://openalex.org/W2907188494","https://openalex.org/W3163908127","https://openalex.org/W2013997577","https://openalex.org/W2975185102"],"abstract_inverted_index":{"Accurate":[0],"detection":[1,39,58],"of":[2,5,15,25,40,59,87,116,138],"fabrication":[3],"defects":[4],"printed":[6],"circuit":[7,44],"boards":[8],"(PCB)":[9],"is":[10,63,94,121,145],"essential":[11],"for":[12,56],"quality":[13],"control":[14],"electronic":[16],"products.":[17],"However,":[18],"due":[19],"to":[20,48,82,112],"the":[21,28,71,84,88,91,98,105,109,114,127,142],"small":[22],"feature":[23,85],"size":[24,144],"PCB":[26],"defects,":[27],"existing":[29],"target":[30],"recognition":[31,139],"algorithms":[32],"still":[33],"show":[34],"difficulty":[35],"in":[36,74,136],"processing":[37],"defect":[38,57],"PCBs":[41],"with":[42,67],"complex":[43],"layouts.":[45],"In":[46],"response":[47],"this":[49],"problem,":[50],"we":[51],"propose":[52],"a":[53],"novel":[54],"YOLOv3-DenseNet":[55,62],"PCBs.":[60],"The":[61],"based":[64],"on":[65],"YOLOv3":[66,75,133],"key":[68],"improvements:":[69],"firstly,":[70],"residual":[72],"units":[73],"are":[76],"partially":[77],"replaced":[78],"by":[79,96],"dense":[80],"blocks":[81],"enhance":[83],"reuse":[86],"networks;":[89],"secondly,":[90],"loss":[92],"function":[93],"revised":[95],"adopting":[97],"generalized":[99],"intersection":[100],"over":[101],"union":[102],"(GIOU)":[103],"between":[104],"predicted":[106],"box":[107],"and":[108],"ground":[110],"truth,":[111],"tackle":[113],"termination":[115],"optimization":[117],"process":[118],"when":[119],"IOU":[120],"zero.":[122],"Result":[123],"comparison":[124],"shows":[125],"that":[126],"proposed":[128],"YOLOv3-DenseNetoutperforms":[129],"other":[130],"commonly":[131],"used":[132],"family":[134],"models":[135],"term":[137],"accuracy,":[140],"while":[141],"model":[143],"even":[146],"smaller.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
