{"id":"https://openalex.org/W4405838453","doi":"https://doi.org/10.1109/access.2024.3523522","title":"Comprehensive Computational Framework for Intelligent Steel Surface Defect Management and Prediction: A Synergy of Front End Interactivity, Back-End Robustness, and Predictive Modeling","display_name":"Comprehensive Computational Framework for Intelligent Steel Surface Defect Management and Prediction: A Synergy of Front End Interactivity, Back-End Robustness, and Predictive Modeling","publication_year":2024,"publication_date":"2024-12-27","ids":{"openalex":"https://openalex.org/W4405838453","doi":"https://doi.org/10.1109/access.2024.3523522"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3523522","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3523522","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3523522","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jiajie Fei","orcid":null},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajie Fei","raw_affiliation_strings":["School of Automation, Nanjing Institute of Technology, Nanjing, China","School of Automation, Nanjing Institute of Technology, NanJing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing Institute of Technology, Nanjing, China","institution_ids":["https://openalex.org/I2799736854"]},{"raw_affiliation_string":"School of Automation, Nanjing Institute of Technology, NanJing, China","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003334557","display_name":"Fei Ren","orcid":"https://orcid.org/0000-0002-4472-9077"},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Ren","raw_affiliation_strings":["School of Automation, Nanjing Institute of Technology, Nanjing, China","School of Automation, Nanjing Institute of Technology, NanJing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing Institute of Technology, Nanjing, China","institution_ids":["https://openalex.org/I2799736854"]},{"raw_affiliation_string":"School of Automation, Nanjing Institute of Technology, NanJing, China","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042717800","display_name":"Libing Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Libing Xu","raw_affiliation_strings":["College of Veterinary Medicine (Institute of Comparative Medicine), Yangzhou University, Yangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Veterinary Medicine (Institute of Comparative Medicine), Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056808634","display_name":"Bonifacio T. Doma","orcid":"https://orcid.org/0000-0002-5537-2018"},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Bonifacio T. Doma","raw_affiliation_strings":["School of Information Technology, Mapua University, Manila, Philippines"],"raw_orcid":"https://orcid.org/0000-0002-5537-2018","affiliations":[{"raw_affiliation_string":"School of Information Technology, Mapua University, Manila, Philippines","institution_ids":["https://openalex.org/I137967721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114506692","display_name":"Hongsheng Li","orcid":"https://orcid.org/0009-0003-4821-5051"},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongsheng Li","raw_affiliation_strings":["School of Automation, Nanjing Institute of Technology, Nanjing, China","School of Automation, Nanjing Institute of Technology, NanJing, China"],"raw_orcid":"https://orcid.org/0009-0003-4821-5051","affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing Institute of Technology, Nanjing, China","institution_ids":["https://openalex.org/I2799736854"]},{"raw_affiliation_string":"School of Automation, Nanjing Institute of Technology, NanJing, China","institution_ids":["https://openalex.org/I2799736854"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2814,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64369647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"13","issue":null,"first_page":"195785","last_page":"195795"},"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":0.9483000040054321,"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":0.9483000040054321,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8284121751785278},{"id":"https://openalex.org/keywords/interactivity","display_name":"Interactivity","score":0.820233166217804},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6836150288581848},{"id":"https://openalex.org/keywords/front-and-back-ends","display_name":"Front and back ends","score":0.5910740494728088},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.4845782518386841},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3248113691806793},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12733149528503418},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09782329201698303}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8284121751785278},{"id":"https://openalex.org/C144430266","wikidata":"https://www.wikidata.org/wiki/Q839721","display_name":"Interactivity","level":2,"score":0.820233166217804},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6836150288581848},{"id":"https://openalex.org/C53016008","wikidata":"https://www.wikidata.org/wiki/Q620167","display_name":"Front and back ends","level":2,"score":0.5910740494728088},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.4845782518386841},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3248113691806793},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12733149528503418},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09782329201698303},{"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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3523522","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3523522","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2fff83925f0e4670a2584e1bcd624ba2","is_oa":true,"landing_page_url":"https://doaj.org/article/2fff83925f0e4670a2584e1bcd624ba2","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":"IEEE Access, Vol 13, Pp 195785-195795 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3523522","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3523522","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3656243205","display_name":null,"funder_award_id":"TB202317004","funder_id":"https://openalex.org/F4320336584","funder_display_name":"Dalian Science and Technology Innovation Fund"}],"funders":[{"id":"https://openalex.org/F4320336584","display_name":"Dalian Science and Technology Innovation Fund","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2001821990","https://openalex.org/W2319020389","https://openalex.org/W2272707781","https://openalex.org/W2747851897","https://openalex.org/W1975913006","https://openalex.org/W4396816926","https://openalex.org/W2593532750","https://openalex.org/W2110442089","https://openalex.org/W2642467014","https://openalex.org/W2889523925"],"abstract_inverted_index":{"This":[0,297],"research":[1,167,298],"has":[2,216,328],"constructed":[3],"an":[4,44,185,210,232],"intelligent":[5,46,59,114,137,288,321],"management":[6,69,289],"and":[7,21,30,40,82,98,111,130,143,149,176,182,199,228,257,276,283,290,332],"prediction":[8,52,202,291],"system":[9,25,100,118,267,292],"for":[10,154,236,293,305,319,335],"steel":[11,66,294,311],"surface":[12,67,295],"defects":[13],"based":[14,172,242],"on":[15,173,243],"the":[16,55,58,62,64,107,117,133,141,150,163,180,191,207,244,254,266,269,281,287,306,310,320,324,337,340],"integration":[17,119,134,193,271],"of":[18,57,61,109,136,179,194,259,272,286,309,323,339],"deep":[19,195,273],"learning":[20,196,201,214,274,278],"machine":[22,200,277],"learning.":[23],"The":[24],"adopts":[26],"a":[27,169,302,316],"microservice":[28],"architecture":[29,93,120],"innovatively":[31],"integrates":[32],"advanced":[33],"frameworks":[34],"such":[35,74,221],"as":[36,75,222],"Vue.js,":[37],"Spring":[38],"Boot,":[39],"Django":[41],"to":[42,51,105,126,162,230],"achieve":[43],"end-to-end":[45],"solution":[47,304],"from":[48],"defect":[49,68,239,260],"detection":[50,77,129,197,275],"analysis.":[53],"In":[54,160],"context":[56],"transformation":[60,308],"industry,":[63,326],"existing":[65],"systems":[70,87],"have":[71,89,250],"technical":[72,170,317],"bottlenecks":[73],"insufficient":[76],"accuracy,":[78],"poor":[79],"real-time":[80,128,255],"performance,":[81],"high":[83,92],"maintenance":[84],"costs.":[85],"Traditional":[86],"generally":[88],"problems":[90],"like":[91],"coupling,":[94],"low":[95],"modularization":[96],"degree,":[97],"limited":[99],"scalability,":[101],"making":[102],"it":[103,123],"difficult":[104],"meet":[106],"requirements":[108],"flexibility":[110],"precision":[112],"in":[113,253],"manufacturing.":[115],"Specifically,":[116],"is":[121,124,139,158,204],"imperfect,":[122],"hard":[125],"balance":[127],"accuracy":[131,258],"optimization,":[132],"degree":[135],"algorithms":[138,198,220],"insufficient,":[140],"front-end":[142,181],"back-end":[144],"architectures":[145],"are":[146],"deeply":[147],"coupled,":[148],"collaborative":[151,177],"processing":[152],"ability":[153],"multi-source":[155],"heterogeneous":[156],"data":[157,187],"limited.":[159],"response":[161],"above":[164],"problems,":[165],"this":[166],"proposes":[168],"framework":[171,215],"\u201cdeep":[174],"decoupling":[175],"optimization":[178],"back-end\u201d.":[183],"Through":[184],"innovative":[186],"flow":[188],"orchestration":[189],"strategy,":[190],"efficient":[192,270],"models":[203],"achieved.":[205],"At":[206],"algorithm":[208],"level,":[209],"adaptive":[211],"multi-model":[212],"integrated":[213],"been":[217,251],"designed,":[218],"integrating":[219],"LSTM,":[223],"BP":[224],"neural":[225],"network,":[226],"Adaboost,":[227],"SVM":[229],"build":[231],"accurate":[233],"recognition":[234],"mechanism":[235],"complex":[237],"nonlinear":[238],"patterns.":[240],"Meanwhile,":[241],"improved":[245],"YOLOv5":[246],"algorithm,":[247],"remarkable":[248],"breakthroughs":[249],"achieved":[252],"performance":[256],"detection.":[261],"Experimental":[262],"verification":[263],"shows":[264],"that":[265],"realizes":[268],"prediction,":[279],"verifying":[280],"effectiveness":[282],"practical":[284,333],"value":[285,331],"defects.":[296],"not":[299],"only":[300],"provides":[301],"systematic":[303],"digital":[307],"industry":[312],"but":[313],"also":[314],"offers":[315],"paradigm":[318],"upgrading":[322],"manufacturing":[325],"which":[327],"important":[329],"theoretical":[330],"significance":[334],"promoting":[336],"implementation":[338],"Industry":[341],"4.0":[342],"strategy.":[343]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-23T05:10:03.516525","created_date":"2025-10-10T00:00:00"}