{"id":"https://openalex.org/W7151274890","doi":"https://doi.org/10.1109/icmla66185.2025.00171","title":"Structural Damage Detection Using AI Super Resolution and Vision Language Model","display_name":"Structural Damage Detection Using AI Super Resolution and Vision Language Model","publication_year":2025,"publication_date":"2025-12-03","ids":{"openalex":"https://openalex.org/W7151274890","doi":"https://doi.org/10.1109/icmla66185.2025.00171"},"language":null,"primary_location":{"id":"doi:10.1109/icmla66185.2025.00171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmla66185.2025.00171","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Machine Learning and Applications (ICMLA)","raw_type":"proceedings-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/A5133113443","display_name":"Catherine Hoier","orcid":null},"institutions":[{"id":"https://openalex.org/I125467818","display_name":"Dakota State University","ror":"https://ror.org/016yv6y68","country_code":"US","type":"education","lineage":["https://openalex.org/I125467818"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Catherine Hoier","raw_affiliation_strings":["Dakota State University,The Beacom College of Computer and Cyber Sciences"],"affiliations":[{"raw_affiliation_string":"Dakota State University,The Beacom College of Computer and Cyber Sciences","institution_ids":["https://openalex.org/I125467818"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013312714","display_name":"Khandaker Mamun Ahmed","orcid":"https://orcid.org/0000-0002-4713-188X"},"institutions":[{"id":"https://openalex.org/I125467818","display_name":"Dakota State University","ror":"https://ror.org/016yv6y68","country_code":"US","type":"education","lineage":["https://openalex.org/I125467818"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khandaker Mamun Ahmed","raw_affiliation_strings":["Dakota State University,The Beacom College of Computer and Cyber Sciences"],"affiliations":[{"raw_affiliation_string":"Dakota State University,The Beacom College of Computer and Cyber Sciences","institution_ids":["https://openalex.org/I125467818"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5133113443"],"corresponding_institution_ids":["https://openalex.org/I125467818"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.74898765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1110","last_page":"1115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.14399999380111694,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.14399999380111694,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.07169999927282333,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.06530000269412994,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.4108000099658966},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.32839998602867126},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3124000132083893},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2786000072956085},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.2703999876976013}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6137999892234802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5927000045776367},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5706999897956848},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.4108000099658966},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.32839998602867126},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3124000132083893},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.29820001125335693},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2786000072956085},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2614000141620636}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmla66185.2025.00171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmla66185.2025.00171","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Machine Learning and Applications (ICMLA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2208565230","https://openalex.org/W2924987217","https://openalex.org/W3202448246","https://openalex.org/W4285088983","https://openalex.org/W4309852497","https://openalex.org/W4319586485","https://openalex.org/W4362594017","https://openalex.org/W4376137797","https://openalex.org/W4404703213","https://openalex.org/W4407690510","https://openalex.org/W4408061313","https://openalex.org/W4409348347"],"related_works":[],"abstract_inverted_index":{"Natural":[0],"disasters":[1],"pose":[2],"significant":[3],"challenges":[4],"to":[5,12,31,80,99,147,159],"timely":[6],"and":[7,16,29,65,88,113,126,167],"accurate":[8,150],"damage":[9,93,98],"assessment":[10,23],"due":[11],"their":[13],"sudden":[14],"onset":[15],"the":[17,118,130,153,165],"extensive":[18],"areas":[19],"they":[20],"affect.":[21],"Traditional":[22],"methods":[24],"are":[25],"often":[26],"labor-intensive,":[27],"costly,":[28],"hazardous":[30],"personnel,":[32],"making":[33],"them":[34],"impractical":[35],"for":[36],"rapid":[37],"response,":[38],"especially":[39],"in":[40],"resource-limited":[41],"settings.":[42],"This":[43,75],"study":[44],"proposes":[45],"a":[46,67,139],"novel,":[47],"cost-effective":[48],"framework":[49,137],"that":[50],"leverages":[51],"aerial":[52],"drone":[53,115],"footage,":[54,84],"an":[55],"advanced":[56],"AI-based":[57],"video":[58],"super-resolution":[59],"model,":[60],"Video":[61],"Restoration":[62],"Transformer":[63],"(VRT),":[64],"Gemma3:27b,":[66],"27":[68],"billion":[69],"parameter":[70],"Vision":[71],"Language":[72],"Model":[73],"(VLM).":[74],"integrated":[76],"system":[77],"is":[78],"designed":[79],"improve":[81],"low-resolution":[82],"disaster":[83,170],"identify":[85],"structural":[86],"damage,":[87],"classify":[89],"buildings":[90],"into":[91],"four":[92],"categories,":[94],"ranging":[95],"from":[96,117,129],"no/slight":[97],"total":[100],"destruction,":[101],"along":[102],"with":[103],"associated":[104],"risk":[105],"levels.":[106],"The":[107,124,136],"methodology":[108],"was":[109],"validated":[110],"using":[111],"pre-":[112],"post-event":[114],"imagery":[116],"2023":[119],"Turkey":[120],"earthquakes":[121],"(courtesy":[122],"of":[123,142,169],"Guardian)":[125],"satellite":[127],"data":[128],"2013":[131],"Moore":[132],"Tornado":[133],"(xBD":[134],"dataset).":[135],"achieved":[138],"classification":[140],"accuracy":[141],"84.5%,":[143],"demonstrating":[144],"its":[145],"ability":[146],"provide":[148],"highly":[149],"results.":[151],"Furthermore,":[152],"system\u2019s":[154],"accessibility":[155],"allows":[156],"non-technical":[157],"users":[158],"perform":[160],"preliminary":[161],"analyses,":[162],"thereby":[163],"improving":[164],"responsiveness":[166],"efficiency":[168],"management":[171],"efforts.":[172]},"counts_by_year":[],"updated_date":"2026-04-09T06:08:40.794217","created_date":"2026-04-08T00:00:00"}
