{"id":"https://openalex.org/W4304689751","doi":"https://doi.org/10.3390/s22207733","title":"A Particleboard Surface Defect Detection Method Research Based on the Deep Learning Algorithm","display_name":"A Particleboard Surface Defect Detection Method Research Based on the Deep Learning Algorithm","publication_year":2022,"publication_date":"2022-10-12","ids":{"openalex":"https://openalex.org/W4304689751","doi":"https://doi.org/10.3390/s22207733","pmid":"https://pubmed.ncbi.nlm.nih.gov/36298082"},"language":"en","primary_location":{"id":"doi:10.3390/s22207733","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22207733","pdf_url":"https://www.mdpi.com/1424-8220/22/20/7733/pdf?version=1665564709","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/20/7733/pdf?version=1665564709","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011491890","display_name":"Ziyu Zhao","orcid":"https://orcid.org/0000-0003-0562-5969"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyu Zhao","raw_affiliation_strings":["School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101034187","display_name":"Zhedong Ge","orcid":null},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhedong Ge","raw_affiliation_strings":["School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061462997","display_name":"Mengying Jia","orcid":"https://orcid.org/0000-0002-4112-0151"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengying Jia","raw_affiliation_strings":["School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052393396","display_name":"Xiaoxia Yang","orcid":"https://orcid.org/0000-0003-2185-7401"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxia Yang","raw_affiliation_strings":["School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057857840","display_name":"Ruicheng Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruicheng Ding","raw_affiliation_strings":["School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101484770","display_name":"Yucheng Zhou","orcid":"https://orcid.org/0000-0002-7436-4451"},"institutions":[{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210139510","display_name":"Research Institute of Wood Industry","ror":"https://ror.org/03q3hjg87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523","https://openalex.org/I4210139510"]},{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yucheng Zhou","raw_affiliation_strings":["Research Institute of Wood Industry, Chinese Academy of Forestry, Beijing 100091, China","School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Wood Industry, Chinese Academy of Forestry, Beijing 100091, China","institution_ids":["https://openalex.org/I4210128615","https://openalex.org/I4210139510"]},{"raw_affiliation_string":"School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China","institution_ids":["https://openalex.org/I44445938"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101034187"],"corresponding_institution_ids":["https://openalex.org/I44445938"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":2.0262,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.87237738,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"22","issue":"20","first_page":"7733","last_page":"7733"},"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":0.9991999864578247,"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":0.9991999864578247,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.98580002784729,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9839000105857849,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7134690284729004},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6181215047836304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6115074753761292},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5821887850761414},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5740445256233215},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5534517765045166},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5494343042373657},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.48192811012268066},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.4674540162086487},{"id":"https://openalex.org/keywords/factory","display_name":"Factory (object-oriented programming)","score":0.45524945855140686},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4505685567855835},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4372672736644745},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4230555295944214},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34020814299583435},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3194379210472107},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1427290439605713},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12931722402572632}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7134690284729004},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6181215047836304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6115074753761292},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5821887850761414},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5740445256233215},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5534517765045166},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5494343042373657},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.48192811012268066},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.4674540162086487},{"id":"https://openalex.org/C40149104","wikidata":"https://www.wikidata.org/wiki/Q5620977","display_name":"Factory (object-oriented programming)","level":2,"score":0.45524945855140686},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4505685567855835},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4372672736644745},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4230555295944214},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34020814299583435},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3194379210472107},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1427290439605713},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12931722402572632},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22207733","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22207733","pdf_url":"https://www.mdpi.com/1424-8220/22/20/7733/pdf?version=1665564709","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36298082","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36298082","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:3eacddf72d3b417fb5363b7453c27a7e","is_oa":true,"landing_page_url":"https://doaj.org/article/3eacddf72d3b417fb5363b7453c27a7e","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":"Sensors, Vol 22, Iss 20, p 7733 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/20/7733/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22207733","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 20; Pages: 7733","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9611466","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9611466","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22207733","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22207733","pdf_url":"https://www.mdpi.com/1424-8220/22/20/7733/pdf?version=1665564709","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.49000000953674316,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G8648116233","display_name":null,"funder_award_id":"ZR2020QC174","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320324777","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4304689751.pdf","grobid_xml":"https://content.openalex.org/works/W4304689751.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W1988299413","https://openalex.org/W2109255472","https://openalex.org/W2183182206","https://openalex.org/W2193145675","https://openalex.org/W2384833813","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2570343428","https://openalex.org/W2896721699","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2963446712","https://openalex.org/W2964309882","https://openalex.org/W3009131247","https://openalex.org/W3009621818","https://openalex.org/W3014583121","https://openalex.org/W3029566451","https://openalex.org/W3042011474","https://openalex.org/W3047236570","https://openalex.org/W3084398619","https://openalex.org/W3085201316","https://openalex.org/W3086841682","https://openalex.org/W3106250896","https://openalex.org/W3125812266","https://openalex.org/W3135641799","https://openalex.org/W3136152227","https://openalex.org/W3153450104","https://openalex.org/W3163646131","https://openalex.org/W3169762077","https://openalex.org/W3172178170","https://openalex.org/W3176188210","https://openalex.org/W3209713683","https://openalex.org/W4280553134","https://openalex.org/W6640054144","https://openalex.org/W6640295612","https://openalex.org/W6710675974"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W2387293848","https://openalex.org/W3121791438","https://openalex.org/W2250140200"],"abstract_inverted_index":{"Particleboard":[0],"surface":[1,11,246],"defects":[2,247],"have":[3],"a":[4,37,208,215],"significant":[5],"impact":[6],"on":[7,48,106],"product":[8],"quality.":[9],"A":[10],"defect":[12,26],"detection":[13,27,55,66,79,117,176,231,243],"method":[14,28],"is":[15,74,83,104,119,135,148,224,250],"essential":[16],"to":[17,89,96,137,227],"enhancing":[18,159],"the":[19,24,65,69,77,86,91,94,100,107,115,122,129,138,142,151,156,160,165,172,187,219,229,241],"quality":[20],"of":[21,68,93,109,125,132,141,158,164,177,203,211,218,236,245,248],"particleboard":[22,221,249],"because":[23],"conventional":[25],"has":[29,192],"low":[30],"accuracy":[31,67,232],"and":[32,56,63,81,128,174,180,197,205,233,240],"efficiency.":[33],"This":[34],"paper":[35],"proposes":[36],"YOLO":[38,72,189],"v5-Seg-Lab-4":[39,190],"(You":[40],"Only":[41],"Look":[42],"Once":[43],"v5":[44],"Segmentation-Lab-4)":[45],"model":[46,52,95,103,191],"based":[47],"deep":[49],"learning.":[50],"The":[51,144],"integrates":[53],"object":[54,78,116],"semantic":[57],"segmentation,":[58],"which":[59],"ensures":[60],"real-time":[61,234],"performance":[62,235],"improves":[64],"model.":[70,143],"Firstly,":[71],"v5s":[73],"used":[75],"as":[76,121,168,170],"network,":[80],"it":[82],"added":[84,149],"into":[85],"SELayer":[87],"module":[88],"improve":[90],"adaptability":[92],"receptive":[97],"field.":[98],"Then,":[99],"Seg-Lab":[101],"v3+":[102],"designed":[105],"basis":[108],"DeepLab":[110],"v3+.":[111],"In":[112],"this":[113,237],"model,":[114],"network":[118,124,166],"utilized":[120],"backbone":[123],"feature":[126,152,161],"extraction,":[127],"expansion":[130],"rate":[131,244],"atrus":[133],"convolution":[134],"reduced":[136],"computational":[139],"complexity":[140],"channel":[145],"attention":[146],"mechanism":[147],"onto":[150],"fusion":[153],"module,":[154],"for":[155],"purpose":[157],"characterization":[162],"capabilities":[163],"algorithm":[167],"well":[169],"realizing":[171],"rapid":[173],"accurate":[175],"lightweight":[178],"networks":[179],"small":[181],"objects.":[182],"Experimental":[183],"results":[184],"indicate":[185],"that":[186],"proposed":[188,238],"mAP":[193],"(Mean":[194,199],"Average":[195],"Precision)":[196],"mIoU":[198],"Intersection":[200],"over":[201],"Union)":[202],"93.20%":[204],"76.63%,":[206],"with":[207],"recognition":[209],"efficiency":[210],"56.02":[212],"fps.":[213],"Finally,":[214],"case":[216],"study":[217],"Huizhou":[220],"factory":[222],"inspection":[223],"carried":[225],"out":[226],"demonstrate":[228],"tiny":[230],"method,":[239],"missed":[242],"less":[251],"than":[252],"1.8%.":[253]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}