{"id":"https://openalex.org/W4392454716","doi":"https://doi.org/10.3233/jifs-239655","title":"Research on health monitoring and damage recognition algorithm of building structures based on image processing","display_name":"Research on health monitoring and damage recognition algorithm of building structures based on image processing","publication_year":2024,"publication_date":"2024-03-05","ids":{"openalex":"https://openalex.org/W4392454716","doi":"https://doi.org/10.3233/jifs-239655"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-239655","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-239655","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"},"type":"article","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/A5101444702","display_name":"Sicong Tang","orcid":"https://orcid.org/0000-0001-6943-0074"},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sicong Tang","raw_affiliation_strings":["School of Traffic and Transportation, Shijiazhuang Tiedao University, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation, Shijiazhuang Tiedao University, Shijiazhuang, China","institution_ids":["https://openalex.org/I90090648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100367752","display_name":"Hailong Wang","orcid":"https://orcid.org/0000-0002-6107-5095"},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailong Wang","raw_affiliation_strings":["School of Traffic and Transportation, Shijiazhuang Tiedao University, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation, Shijiazhuang Tiedao University, Shijiazhuang, China","institution_ids":["https://openalex.org/I90090648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101444702"],"corresponding_institution_ids":["https://openalex.org/I90090648"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02395825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"46","issue":"4","first_page":"10305","last_page":"10314"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9632999897003174,"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":0.9632999897003174,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9046000242233276,"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/computer-science","display_name":"Computer science","score":0.7146632671356201},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.48966577649116516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4860823452472687},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44485822319984436},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3895304501056671},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35631871223449707}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7146632671356201},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.48966577649116516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4860823452472687},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44485822319984436},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3895304501056671},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35631871223449707}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-239655","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-239655","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8500000238418579,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W32111384","https://openalex.org/W2117552096","https://openalex.org/W2772901877","https://openalex.org/W2782162999","https://openalex.org/W4312223591","https://openalex.org/W4327948210","https://openalex.org/W4380681289","https://openalex.org/W4386131561","https://openalex.org/W4386765701","https://openalex.org/W4387571273","https://openalex.org/W4388407801","https://openalex.org/W4388900173","https://openalex.org/W4389409105","https://openalex.org/W6601285894","https://openalex.org/W6858211619"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"With":[0],"the":[1,5,9,29,44,48,52,74,79,90,96,125,147,169],"continuous":[2],"deepening":[3],"of":[4,11,36,46,61,78,92,98,114,128,136,151,173],"urbanization":[6],"process":[7],"and":[8,13,18,24,55,76,121,132,156,168],"progress":[10],"science":[12],"technology,":[14],"people":[15],"transform":[16],"nature":[17,20],"develop":[19],"on":[21,73,83,95],"a":[22,34,70,133],"larger":[23,25],"scale,":[26],"among":[27],"which":[28],"most":[30],"iconic":[31],"transformation":[32],"is":[33,104,130,140],"variety":[35],"building":[37,49,80,152],"structures":[38],"built":[39],"by":[40],"people.":[41],"And":[42],"with":[43],"passage":[45],"time,":[47],"structure":[50,153],"in":[51,85,161],"perennial":[53],"wind":[54],"sun,":[56],"there":[57],"will":[58,68],"be":[59,176],"signs":[60],"\u201cillness\u201d,":[62],"if":[63],"not":[64],"timely":[65],"treatment,":[66],"it":[67],"have":[69],"huge":[71],"impact":[72],"stability":[75],"safety":[77],"structure.":[81],"Based":[82],"this,":[84],"this":[86,162],"paper,":[87],"according":[88],"to":[89],"characteristics":[91],"crack":[93,119,122,137],"identification":[94,139],"surface":[97],"concrete":[99],"structure,":[100],"background":[101],"subtraction":[102],"algorithm":[103,159],"selected":[105],"for":[106],"image":[107,116],"noise":[108,117],"reduction":[109],"processing.":[110],"Through":[111],"three":[112],"steps":[113],"digital":[115],"reduction,":[118],"extraction":[120],"parameter":[123,138],"identification,":[124],"quantitative":[126],"recognition":[127,158,174],"cracks":[129],"completed":[131],"complete":[134],"system":[135],"formed.":[141],"The":[142],"experimental":[143],"results":[144],"show":[145],"that":[146],"machine":[148],"learning":[149],"model":[150],"health":[154],"monitoring":[155],"damage":[157],"proposed":[160],"paper":[163],"has":[164],"excellent":[165],"statistical":[166],"performance,":[167],"relative":[170],"error":[171],"accuracy":[172],"can":[175],"controlled":[177],"within":[178],"10%.":[179]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
