{"id":"https://openalex.org/W4402993479","doi":"https://doi.org/10.3233/faia240416","title":"Enhanced Crack Segmentation Network: Leveraging Multi-Dimensional Attention","display_name":"Enhanced Crack Segmentation Network: Leveraging Multi-Dimensional Attention","publication_year":2024,"publication_date":"2024-09-25","ids":{"openalex":"https://openalex.org/W4402993479","doi":"https://doi.org/10.3233/faia240416"},"language":"en","primary_location":{"id":"doi:10.3233/faia240416","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia240416","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://dx.doi.org/10.3233/faia240416","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027934399","display_name":"Ammar M. Okran","orcid":"https://orcid.org/0000-0001-9264-0301"},"institutions":[{"id":"https://openalex.org/I55952717","display_name":"Universidad Rovira i Virgili","ror":"https://ror.org/00g5sqv46","country_code":"ES","type":"education","lineage":["https://openalex.org/I55952717"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Ammar M. Okran","raw_affiliation_strings":["DEIM, Rovira i Virgili University, 43007 Tarragona, Spain"],"affiliations":[{"raw_affiliation_string":"DEIM, Rovira i Virgili University, 43007 Tarragona, Spain","institution_ids":["https://openalex.org/I55952717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085126924","display_name":"Hatem A. Rashwan","orcid":"https://orcid.org/0000-0001-5421-1637"},"institutions":[{"id":"https://openalex.org/I55952717","display_name":"Universidad Rovira i Virgili","ror":"https://ror.org/00g5sqv46","country_code":"ES","type":"education","lineage":["https://openalex.org/I55952717"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Hatem A. Rashwan","raw_affiliation_strings":["DEIM, Rovira i Virgili University, 43007 Tarragona, Spain"],"affiliations":[{"raw_affiliation_string":"DEIM, Rovira i Virgili University, 43007 Tarragona, Spain","institution_ids":["https://openalex.org/I55952717"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004665770","display_name":"Dom\u00e8nec Puig","orcid":"https://orcid.org/0000-0002-0562-4205"},"institutions":[{"id":"https://openalex.org/I55952717","display_name":"Universidad Rovira i Virgili","ror":"https://ror.org/00g5sqv46","country_code":"ES","type":"education","lineage":["https://openalex.org/I55952717"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Domenec Puig","raw_affiliation_strings":["DEIM, Rovira i Virgili University, 43007 Tarragona, Spain"],"affiliations":[{"raw_affiliation_string":"DEIM, Rovira i Virgili University, 43007 Tarragona, Spain","institution_ids":["https://openalex.org/I55952717"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027934399"],"corresponding_institution_ids":["https://openalex.org/I55952717"],"apc_list":null,"apc_paid":null,"fwci":5.5206,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.9612238,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"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":0.9986000061035156,"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":0.9986000061035156,"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":0.9799000024795532,"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/T10396","display_name":"Fatigue and fracture mechanics","score":0.9549000263214111,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/segmentation","display_name":"Segmentation","score":0.5232573747634888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4682798385620117},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.4505999684333801},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.36439579725265503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3375355005264282}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5232573747634888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4682798385620117},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.4505999684333801},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.36439579725265503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3375355005264282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia240416","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia240416","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia240416","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia240416","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4402299999","https://openalex.org/W4246450666","https://openalex.org/W4388998267","https://openalex.org/W2898370298","https://openalex.org/W2137437058","https://openalex.org/W2884249467","https://openalex.org/W4390401159","https://openalex.org/W2744391499"],"abstract_inverted_index":{"Structural":[0],"defects,":[1],"such":[2],"as":[3,69],"cracks,":[4],"are":[5],"crucial":[6],"in":[7,32],"various":[8],"infrastructures,":[9],"with":[10,65,73],"their":[11],"accurate":[12],"delineation":[13],"paramount":[14],"for":[15],"maintenance.":[16],"However,":[17],"existing":[18],"methods":[19],"often":[20],"struggle":[21],"to":[22,42,89],"precisely":[23],"segment":[24],"cracks.":[25],"Despite":[26],"the":[27,35,49,70,102],"advent":[28],"of":[29,109,114],"deep":[30],"learning":[31],"image":[33],"segmentation,":[34],"recurrent":[36],"convolution":[37],"and":[38,111],"pooling":[39],"operations":[40],"tend":[41],"overlook":[43],"vital":[44],"edge":[45,85],"information,":[46],"thus":[47,116],"compromising":[48],"final":[50],"segmentation":[51,59,120],"accuracy.":[52],"This":[53],"paper":[54],"proposes":[55],"a":[56,62,66,97],"pixel-level":[57],"crack":[58,92,119],"network":[60],"using":[61],"UNet":[63],"architecture":[64],"pre-trained":[67],"ConvNext":[68],"encoder,":[71],"combined":[72],"Multiple":[74],"Dimension":[75],"Attention":[76],"Enhancement":[77],"(MDAE)":[78],"blocks.":[79],"The":[80],"MDAE":[81],"block":[82],"enhances":[83],"local":[84],"information":[86],"acquisition,":[87],"leading":[88],"more":[90],"precise":[91],"segmentation.":[93],"Experimental":[94],"results":[95],"on":[96],"public":[98],"dataset,":[99],"Crack500,":[100],"demonstrate":[101],"proposed":[103],"network\u2019s":[104],"effectiveness,":[105],"achieving":[106],"an":[107,112],"IoU":[108],"59.6%":[110],"F1-score":[113],"74.7%,":[115],"significantly":[117],"improving":[118],"performance.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
