{"id":"https://openalex.org/W4390971422","doi":"https://doi.org/10.54216/ijns.230225","title":"Neutrosophic Enhancement of YOLO-MD Algorithm for Automated Metal Surface Micro Defect Detection","display_name":"Neutrosophic Enhancement of YOLO-MD Algorithm for Automated Metal Surface Micro Defect Detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390971422","doi":"https://doi.org/10.54216/ijns.230225"},"language":"en","primary_location":{"id":"doi:10.54216/ijns.230225","doi":"https://doi.org/10.54216/ijns.230225","is_oa":false,"landing_page_url":"https://doi.org/10.54216/ijns.230225","pdf_url":null,"source":{"id":"https://openalex.org/S4210217969","display_name":"International Journal of Neutrosophic Science","issn_l":"2690-6805","issn":["2690-6805","2692-6148"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20","russia-white-list-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Neutrosophic Science","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5111402983","display_name":"Li ..","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li ..","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5091106239","display_name":"Muhammad Irsyad Abdullah","orcid":"https://orcid.org/0000-0002-7840-2662","observed_orcids":["https://orcid.org/0000-0002-7840-2662"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muhammad Irsyad Abdullah","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0213,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.72274614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"23","issue":"2","first_page":"308","last_page":"316"},"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":0.9965999722480774,"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":0.9965999722480774,"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":0.0024999999441206455,"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":0.0003000000142492354,"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/yolov5","display_name":"YOLOv5","score":0.9380000233650208},{"id":"https://openalex.org/keywords/spd-conv","display_name":"SPD-Conv","score":0.7979999780654907},{"id":"https://openalex.org/keywords/small-object-detection","display_name":"small object detection","score":0.8529999852180481},{"id":"https://openalex.org/keywords/mpdiou-loss","display_name":"MPDIoU loss","score":0.9440000057220459},{"id":"https://openalex.org/keywords/data-augmentation","display_name":"data augmentation","score":0.796999990940094},{"id":"https://openalex.org/keywords/automatic-defect-detection","display_name":"automated defect detection","score":0.5669999718666077}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6595180034637451},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6068918704986572},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.594842255115509},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.5798161029815674},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5761025547981262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5132998824119568},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3616839647293091},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3180723190307617},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09009689092636108},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.06816008687019348},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.54216/ijns.230225","doi":"https://doi.org/10.54216/ijns.230225","is_oa":false,"landing_page_url":"https://doi.org/10.54216/ijns.230225","pdf_url":null,"source":{"id":"https://openalex.org/S4210217969","display_name":"International Journal of Neutrosophic Science","issn_l":"2690-6805","issn":["2690-6805","2692-6148"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20","russia-white-list-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Neutrosophic Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4388016127","https://openalex.org/W4407586377","https://openalex.org/W4385482509","https://openalex.org/W7204799526","https://openalex.org/W4389429823","https://openalex.org/W4389049594","https://openalex.org/W3196497390","https://openalex.org/W4389251232","https://openalex.org/W4220802412","https://openalex.org/W4401422788"],"abstract_inverted_index":{"To":[0],"achieve":[1],"automation":[2],"of":[3,19,47,54,75],"defect":[4,10],"detection,":[5,21],"the":[6,17,26,30,45,52,59,72,76],"metal":[7,104],"surface":[8,105],"micro":[9,106],"detection":[11,69],"algorithm":[12,28],"YOLO-MD":[13],"is":[14,23,33],"proposed.":[15],"From":[16],"perspective":[18],"object":[20,56],"YOLOv5s":[22],"selected":[24],"as":[25],"backbone":[27],"and":[29,50,67,97,99],"SPD-Conv":[31],"module":[32],"added":[34],"to":[35,63,91],"reduce":[36],"feature":[37],"loss":[38,61],"caused":[39],"by":[40,88],"ordinary":[41],"convolutional":[42],"downsampling,":[43],"improve":[44,51,68],"adaptability":[46],"low-resolution":[48],"images,":[49],"accuracy":[53],"small":[55,73],"detection.":[57],"Using":[58],"MPDIoU":[60],"function":[62],"accelerate":[64],"model":[65,84],"convergence":[66],"accuracy.":[70],"Considering":[71],"size":[74],"dataset,":[77],"data":[78],"augmentation":[79],"methods":[80],"were":[81],"adopted.":[82],"After":[83],"training,":[85],"mAP50-95":[86],"improved":[87],"0.02":[89],"compared":[90],"YOLOv5,":[92],"which":[93],"has":[94],"high":[95],"real-time":[96],"robustness":[98],"can":[100],"more":[101],"effectively":[102],"detect":[103],"defects.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2024-01-19T00:00:00"}