{"id":"https://openalex.org/W4404457599","doi":"https://doi.org/10.62051/ijmee.v3n3.01","title":"Steel Surface Defect Detection Algorithm based on Improved YOLOv8","display_name":"Steel Surface Defect Detection Algorithm based on Improved YOLOv8","publication_year":2024,"publication_date":"2024-10-31","ids":{"openalex":"https://openalex.org/W4404457599","doi":"https://doi.org/10.62051/ijmee.v3n3.01"},"language":"en","primary_location":{"id":"doi:10.62051/ijmee.v3n3.01","doi":"https://doi.org/10.62051/ijmee.v3n3.01","is_oa":true,"landing_page_url":"http://dx.doi.org/10.62051/ijmee.v3n3.01","pdf_url":"https://wepub.org/index.php/IJMEE/article/download/3939/4310","source":{"id":"https://openalex.org/S5407043033","display_name":"International Journal of Mechanical and Electrical Engineering","issn_l":"3005-7132","issn":["3005-7132","3005-9615"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Mechanical and Electrical Engineering","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://wepub.org/index.php/IJMEE/article/download/3939/4310","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Shuai Yang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuai Yang","raw_affiliation_strings":["College of Technology and Education , Tianjin University , Tianjin , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Technology and Education , Tianjin University , Tianjin , China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19546302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":"3","first_page":"1","last_page":"6"},"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":0.9994999766349792,"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":0.9994999766349792,"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":0.0003000000142492354,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.00019999999494757503,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/steel-surface-defect-detection","display_name":"steel surface defect detection","score":0.9599999785423279},{"id":"https://openalex.org/keywords/yolov8","display_name":"YOLOv8","score":0.984000027179718},{"id":"https://openalex.org/keywords/wise-iou-loss","display_name":"Wise-IoU loss","score":0.8669999837875366},{"id":"https://openalex.org/keywords/small-object-detection","display_name":"small object detection","score":0.828000009059906},{"id":"https://openalex.org/keywords/object-detection","display_name":"object detection","score":0.5189999938011169},{"id":"https://openalex.org/keywords/industrial-inspection","display_name":"industrial inspection","score":0.3269999921321869}],"concepts":[{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.5034205317497253},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4716838002204895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4417405128479004},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3378784656524658},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22277510166168213},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1851205825805664}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.62051/ijmee.v3n3.01","doi":"https://doi.org/10.62051/ijmee.v3n3.01","is_oa":true,"landing_page_url":"http://dx.doi.org/10.62051/ijmee.v3n3.01","pdf_url":"https://wepub.org/index.php/IJMEE/article/download/3939/4310","source":{"id":"https://openalex.org/S5407043033","display_name":"International Journal of Mechanical and Electrical Engineering","issn_l":"3005-7132","issn":["3005-7132","3005-9615"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Mechanical and Electrical Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.62051/ijmee.v3n3.01","doi":"https://doi.org/10.62051/ijmee.v3n3.01","is_oa":true,"landing_page_url":"http://dx.doi.org/10.62051/ijmee.v3n3.01","pdf_url":"https://wepub.org/index.php/IJMEE/article/download/3939/4310","source":{"id":"https://openalex.org/S5407043033","display_name":"International Journal of Mechanical and Electrical Engineering","issn_l":"3005-7132","issn":["3005-7132","3005-9615"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Mechanical and Electrical Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.4099999964237213}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404457599.pdf","grobid_xml":"https://content.openalex.org/works/W4404457599.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2016187641","https://openalex.org/W2805339068","https://openalex.org/W4246450666","https://openalex.org/W4388998267","https://openalex.org/W2051487156","https://openalex.org/W2898370298","https://openalex.org/W2137437058"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,22,26,30,34,38,47,57,61,68,93],"problem":[3],"of":[4,29,37,60],"steel":[5],"surface":[6],"defects,":[7],"a":[8],"defect":[9],"detection":[10,35,58,98],"algorithm":[11],"based":[12],"on":[13],"YOLOv8":[14],"is":[15,19,51],"constructed.":[16],"Firstly,":[17],"SimAM":[18],"added":[20],"to":[21,24,32,55],"head":[23],"improve":[25],"expression":[27],"ability":[28,36],"features":[31],"enhance":[33,56],"model":[39],"for":[40],"tiny":[41],"defects":[42],"or":[43],"small":[44],"targets.":[45],"Then":[46],"CIoU":[48],"loss":[49],"function":[50],"replaced":[52],"with":[53,92],"Wise-IoU":[54],"accuracy":[59,99],"model.":[62,96],"The":[63,97],"experimental":[64],"results":[65],"show":[66],"that":[67],"constructed":[69],"improved":[70,84],"models":[71],"P,":[72],"mAP0.5":[73],"and":[74,79,88],"mAP0.5:0.95":[75],"reach":[76],"74.6%,":[77],"75.6%":[78],"43.4%,":[80],"respectively,":[81,90],"which":[82],"are":[83],"by":[85],"5.9%,":[86],"0.5%":[87],"0.6%,":[89],"compared":[91],"original":[94],"YOLOv8n":[95],"was":[100],"effectively":[101],"improved.":[102]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}