{"id":"https://openalex.org/W4406898016","doi":"https://doi.org/10.1186/s40537-025-01065-1","title":"Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model","display_name":"Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model","publication_year":2025,"publication_date":"2025-01-28","ids":{"openalex":"https://openalex.org/W4406898016","doi":"https://doi.org/10.1186/s40537-025-01065-1"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-025-01065-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01065-1","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01065-1","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01065-1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033445281","display_name":"Zeinab F. Elsharkawy","orcid":"https://orcid.org/0000-0002-6167-8435"},"institutions":[{"id":"https://openalex.org/I3089115","display_name":"Egyptian Atomic Energy Authority","ror":"https://ror.org/04hd0yz67","country_code":"EG","type":"government","lineage":["https://openalex.org/I3089115"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Zeinab F. Elsharkawy","raw_affiliation_strings":["Engineering Department, Nuclear Research Centre, Egyptian Atomic Energy Authority (EAEA), Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Engineering Department, Nuclear Research Centre, Egyptian Atomic Energy Authority (EAEA), Cairo, Egypt","institution_ids":["https://openalex.org/I3089115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055267514","display_name":"H. Kasban","orcid":"https://orcid.org/0000-0002-2249-5804"},"institutions":[{"id":"https://openalex.org/I3089115","display_name":"Egyptian Atomic Energy Authority","ror":"https://ror.org/04hd0yz67","country_code":"EG","type":"government","lineage":["https://openalex.org/I3089115"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"H. Kasban","raw_affiliation_strings":["Engineering Department, Nuclear Research Centre, Egyptian Atomic Energy Authority (EAEA), Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Engineering Department, Nuclear Research Centre, Egyptian Atomic Energy Authority (EAEA), Cairo, Egypt","institution_ids":["https://openalex.org/I3089115"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003886367","display_name":"Mohammed Y. Abbass","orcid":null},"institutions":[{"id":"https://openalex.org/I3089115","display_name":"Egyptian Atomic Energy Authority","ror":"https://ror.org/04hd0yz67","country_code":"EG","type":"government","lineage":["https://openalex.org/I3089115"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohammed Y. Abbass","raw_affiliation_strings":["Engineering Department, Nuclear Research Centre, Egyptian Atomic Energy Authority (EAEA), Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Engineering Department, Nuclear Research Centre, Egyptian Atomic Energy Authority (EAEA), Cairo, Egypt","institution_ids":["https://openalex.org/I3089115"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033445281"],"corresponding_institution_ids":["https://openalex.org/I3089115"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":16.9187,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.99416145,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"12","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9997000098228455,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11850","display_name":"Concrete Corrosion and Durability","score":0.9760000109672546,"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/computer-science","display_name":"Computer science","score":0.7429125308990479},{"id":"https://openalex.org/keywords/computational-science-and-engineering","display_name":"Computational Science and Engineering","score":0.7117381691932678},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4998505115509033},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.46787071228027344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4164387583732605},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.37195032835006714},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.33933335542678833},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13390251994132996},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06950655579566956}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7429125308990479},{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.7117381691932678},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4998505115509033},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.46787071228027344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4164387583732605},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.37195032835006714},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.33933335542678833},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13390251994132996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06950655579566956}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-025-01065-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01065-1","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01065-1","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:96f47731ce9b44cba40fa1dc711a1494","is_oa":true,"landing_page_url":"https://doaj.org/article/96f47731ce9b44cba40fa1dc711a1494","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 12, Iss 1, Pp 1-20 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-025-01065-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01065-1","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01065-1","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321655","display_name":"Science and Technology Development Fund","ror":"https://ror.org/044vr6g03"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406898016.pdf","grobid_xml":"https://content.openalex.org/works/W4406898016.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W1969393996","https://openalex.org/W1975831815","https://openalex.org/W2008935780","https://openalex.org/W2065410047","https://openalex.org/W2069386505","https://openalex.org/W2093357463","https://openalex.org/W2171827999","https://openalex.org/W2407692387","https://openalex.org/W2511065100","https://openalex.org/W2585915216","https://openalex.org/W2768955070","https://openalex.org/W2887092226","https://openalex.org/W3005498204","https://openalex.org/W3009712583","https://openalex.org/W3048070442","https://openalex.org/W3103598756","https://openalex.org/W3112798201","https://openalex.org/W3113650285","https://openalex.org/W3114814504","https://openalex.org/W3119205652","https://openalex.org/W3121502091","https://openalex.org/W3127546202","https://openalex.org/W3166512019","https://openalex.org/W3175985914","https://openalex.org/W3210416183","https://openalex.org/W4213012943","https://openalex.org/W4214844841","https://openalex.org/W4220780913","https://openalex.org/W4220801936","https://openalex.org/W4281874032","https://openalex.org/W4283215527","https://openalex.org/W4295934721","https://openalex.org/W4307572890","https://openalex.org/W4309047390","https://openalex.org/W4309581908","https://openalex.org/W4312191330","https://openalex.org/W4313491188","https://openalex.org/W4313524963","https://openalex.org/W4321004434","https://openalex.org/W4322774767","https://openalex.org/W4324026569","https://openalex.org/W4360609555","https://openalex.org/W4368352560","https://openalex.org/W4378549602","https://openalex.org/W4380872892","https://openalex.org/W4385358934","https://openalex.org/W4385692497","https://openalex.org/W4386141705","https://openalex.org/W4387336396","https://openalex.org/W4390628502","https://openalex.org/W4391812802","https://openalex.org/W4392013638","https://openalex.org/W4394625779","https://openalex.org/W4399206906","https://openalex.org/W4399207473","https://openalex.org/W4399618434"],"related_works":["https://openalex.org/W4393232657","https://openalex.org/W4390638272","https://openalex.org/W2472237121","https://openalex.org/W4323316863","https://openalex.org/W1985111449","https://openalex.org/W4304789336","https://openalex.org/W4405801673","https://openalex.org/W2340692695","https://openalex.org/W4405028324","https://openalex.org/W4306175439"],"abstract_inverted_index":{"Abstract":[0],"Crack":[1,117],"segmentation":[2,71,177,241],"is":[3,182],"essential":[4],"for":[5,167],"preventive":[6],"maintenance":[7],"in":[8,40,159],"various":[9,138],"civil":[10,108],"and":[11,20,38,65,70,83,97,109,126,144,156,170,184,202,224,238],"industrial":[12,110],"applications.":[13],"It":[14],"makes":[15],"it":[16],"possible":[17],"to":[18,58,88],"identify":[19],"divide":[21],"structural":[22],"cracks":[23,30,136,153],"or":[24],"defects.":[25],"Complicated":[26],"sceneries,":[27],"such":[28],"as":[29,207,209],"with":[31,135,199,210],"an":[32,54],"irregular":[33],"form,":[34],"complicated":[35],"image":[36],"environments,":[37],"constraints":[39],"obtaining":[41],"global":[42],"contextual":[43],"information,":[44],"affect":[45],"the":[46,60,94,147,160,168,174,190,203,244],"performance":[47],"of":[48,62,72,107,137,189],"crack":[49,74,226,240],"segmentation.":[50,227],"This":[51],"research":[52],"proposes":[53],"Enhanced-YOLOv8":[55],"called":[56],"YOLOv8-MHSA-TA":[57],"reduce":[59],"effects":[61],"these":[63],"factors":[64],"offer":[66],"quasi-real-time":[67],"concurrent":[68],"identification":[69],"different":[73],"types.":[75],"The":[76,131,163,194,214,228],"suggested":[77,148,175,195],"network":[78],"uses":[79],"triplet":[80],"attention":[81],"(TA)":[82],"multi-head":[84],"self-attention":[85],"(MHSA)":[86],"mechanisms,":[87],"enhance":[89],"YOLOv8\u2019s":[90],"performance.":[91],"To":[92],"evaluate":[93],"proposed":[95],"approach":[96,219],"test":[98],"its":[99],"generalization":[100],"ability,":[101],"nine":[102],"public":[103],"datasets":[104,132],"comprising":[105],"images":[106,134],"structures":[111],"were":[112],"collected,":[113],"including":[114],"CracK500,":[115],"Crack3238,":[116],"Forest":[118],"Dataset,":[119],"Deepcrack,":[120],"Rissbilder,":[121],"Volker,":[122],"Sylvie,":[123],"Magnetic":[124,171],"Tile,":[125],"Pipeline":[127],"Gamma":[128],"Radiography":[129],"Images.":[130],"contain":[133],"sizes,":[139],"shapes,":[140],"sorts,":[141],"lighting":[142],"situations,":[143],"orientations.":[145],"Applying":[146],"enhanced":[149],"YOLOv8":[150,192,205],"model\u2019s":[151,176],"capabilities,":[152],"are":[154],"detected":[155],"segmented":[157],"successfully":[158],"examined":[161],"images.":[162],"results":[164],"demonstrate":[165,216,230],"that,":[166],"Crack500":[169],"tile":[172],"datasets,":[173],"Mean":[178],"Average":[179],"Precision":[180],"(mAP50)":[181],"10.1":[183],"26.4%":[185],"higher":[186],"than":[187],"that":[188,217,231],"original":[191,204],"models.":[193],"model":[196],"was":[197],"compared":[198],"YOLOv8-MHSA,":[200],"YOLOv8-TA,":[201],"models,":[206],"well":[208],"other":[211],"published":[212,222,236],"networks.":[213],"outcomes":[215,229],"our":[218,232],"outperforms":[220,234],"previously":[221],"work":[223,237],"enhances":[225,239],"method":[233],"prior":[235],"when":[242],"considering":[243],"diverse":[245],"dataset.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":14}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}