{"id":"https://openalex.org/W7207110730","doi":null,"title":"Towards Improved Generative Models for Structural Health Monitoring with Limited Data","display_name":"Towards Improved Generative Models for Structural Health Monitoring with Limited Data","publication_year":2025,"publication_date":"2025-08-11","ids":{"openalex":"https://openalex.org/W7207110730"},"language":"en","primary_location":{"id":"pmh:oai:uwo.scholaris.ca:20.500.14721/38529","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/20.500.14721/38529","pdf_url":null,"source":{"id":"https://openalex.org/S4306400648","display_name":"Scholarship@Western (Western University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I125749732","host_organization_name":"Western University","host_organization_lineage":["https://openalex.org/I125749732"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"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/A5034492769","display_name":"Kyle Dunphy","orcid":"https://orcid.org/0009-0008-7073-0670","observed_orcids":["https://orcid.org/0009-0008-7073-0670"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dunphy, Kyle","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5034492769"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.6714000105857849,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.6714000105857849,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.32589998841285706,"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/T12940","display_name":"Structural Engineering and Materials Analysis","score":0.0006000000284984708,"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/structural-health-monitoring","display_name":"structural health monitoring","score":1.0},{"id":"https://openalex.org/keywords/damage-detection","display_name":"damage detection","score":0.7459999918937683},{"id":"https://openalex.org/keywords/limited-training-data","display_name":"limited training data","score":0.7549999952316284},{"id":"https://openalex.org/keywords/data-augmentation","display_name":"data augmentation","score":0.6759999990463257},{"id":"https://openalex.org/keywords/generative-adversarial-networks","display_name":"generative adversarial networks","score":0.8939999938011169},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"synthetic data","score":0.7229999899864197},{"id":"https://openalex.org/keywords/few-shot-learning","display_name":"few-shot learning","score":0.9940000176429749},{"id":"https://openalex.org/keywords/class-imbalance","display_name":"class imbalance","score":0.6899999976158142},{"id":"https://openalex.org/keywords/image-based-inspection","display_name":"image-based inspection","score":0.7409999966621399},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.9010000228881836},{"id":"https://openalex.org/keywords/infrastructure-deterioration","display_name":"infrastructure deterioration","score":0.4690000116825104}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7148000001907349},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6690000295639038},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6031000018119812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.593500018119812},{"id":"https://openalex.org/C2776247918","wikidata":"https://www.wikidata.org/wiki/Q1423713","display_name":"Structural health monitoring","level":2,"score":0.5702000260353088},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5519000291824341},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5296000242233276},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4641000032424927},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.427700012922287},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.3626999855041504},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.3499999940395355},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.3465999960899353},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3296999931335449},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.3165000081062317},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.2842000126838684},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.27250000834465027},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2696000039577484},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:uwo.scholaris.ca:20.500.14721/38529","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/20.500.14721/38529","pdf_url":null,"source":{"id":"https://openalex.org/S4306400648","display_name":"Scholarship@Western (Western University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I125749732","host_organization_name":"Western University","host_organization_lineage":["https://openalex.org/I125749732"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"thesis"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":1.0,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4293680188","https://openalex.org/W4416358205","https://openalex.org/W7201887203","https://openalex.org/W4406267686","https://openalex.org/W7125925410","https://openalex.org/W7118022523","https://openalex.org/W4412704040","https://openalex.org/W4409678491","https://openalex.org/W4385755700","https://openalex.org/W7215048530"],"abstract_inverted_index":{"The":[0],"rapid":[1],"deterioration":[2],"of":[3,61,115,186,248,266,279,300,311],"global":[4],"infrastructure":[5],"due":[6],"to":[7,41,74,121,208,223,229,252],"aging":[8,320],"and":[9,19,38,48,69,80,103,113,127,141,166,225,236,246,275,296,314,321],"extreme":[10],"events":[11],"has":[12],"underscored":[13],"the":[14,59,111,132,184,244,264,277,292,298,309],"critical":[15],"need":[16],"for":[17,154,160,189,282,319],"efficient":[18],"accurate":[20,210],"Structural":[21],"Health":[22],"Monitoring":[23],"(SHM)":[24],"systems.":[25],"Traditional":[26],"manual":[27],"inspection":[28],"approaches":[29,220],"are":[30,35,221],"increasingly":[31],"inadequate,":[32],"as":[33,205],"they":[34],"labor-intensive,":[36],"subjective,":[37],"often":[39],"limited":[40,136],"accessible":[42],"areas,":[43],"resulting":[44],"in":[45,95,286,303],"inefficient":[46],"assessments":[47],"delayed":[49],"interventions.":[50],"To":[51,130],"address":[52],"these":[53,106],"limitations,":[54],"recent":[55],"advancements":[56],"have":[57,91,147,203],"explored":[58],"integration":[60,247],"Artificial":[62],"Intelligence":[63],"(AI),":[64],"particularly":[65,84],"Machine":[66],"Learning":[67,71,200],"(ML)":[68],"Deep":[70],"(DL)":[72],"techniques,":[73,273],"automate":[75],"damage":[76,96,128,191,211,231,284],"detection,":[77],"classification,":[78],"localization,":[79],"quantification.":[81],"Vision-based":[82],"systems,":[83],"those":[85],"leveraging":[86],"convolutional":[87],"neural":[88],"networks":[89],"(CNNs),":[90],"shown":[92],"state-of-the-art":[93],"performance":[94],"classification":[97,178,212,285],"using":[98],"imagery":[99],"from":[100],"cameras,":[101],"drones,":[102],"smartphones.":[104],"However,":[105],"methods":[107],"remain":[108],"constrained":[109],"by":[110,135],"scarcity":[112,294],"imbalance":[114],"annotated":[116],"datasets,":[117,182],"limiting":[118],"their":[119,217],"ability":[120],"generalize":[122],"across":[123],"diverse":[124,167],"structural":[125,235,316],"types":[126],"scenarios.":[129,259],"mitigate":[131],"challenges":[133],"posed":[134],"training":[137],"data,":[138],"various":[139],"traditional":[140,271],"generative":[142],"Data":[143],"Augmentation":[144],"(DA)":[145],"strategies":[146],"been":[148],"proposed.":[149],"Generative":[150],"Adversarial":[151],"Networks":[152],"(GANs),":[153],"instance,":[155],"offer":[156],"a":[157],"promising":[158],"avenue":[159],"synthetically":[161],"expanding":[162,297],"datasets":[163],"with":[164,180,193,213,227],"realistic":[165],"samples.":[168],"Yet,":[169],"existing":[170],"GAN-based":[171],"SHM":[172,255],"studies":[173],"largely":[174],"focus":[175],"on":[176,262],"binary":[177],"tasks":[179],"large":[181],"leaving":[183],"efficacy":[185],"such":[187],"techniques":[188,251],"multiclass":[190,283],"identification":[192],"limited,":[194],"unbalanced":[195],"data":[196,268,293],"unexplored.":[197],"Similarly,":[198],"Few-Shot":[199],"(FSL)":[201],"models":[202,302],"emerged":[204],"potential":[206],"solutions":[207],"enable":[209],"minimal":[214],"data.":[215],"Despite":[216],"potential,":[218],"FSL":[219,280],"prone":[222],"overfitting":[224],"struggle":[226],"adaptation":[228],"novel":[230],"categories,":[232],"especially":[233],"when":[234],"material":[237],"heterogeneity":[238],"is":[239],"present.":[240],"This":[241],"thesis":[242],"investigates":[243],"development":[245],"advanced":[249],"DA":[250,272],"enhance":[253],"AI-based":[254,301],"systems":[256],"under":[257],"data-constrained":[258],"It":[260],"focuses":[261],"assessing":[263],"effectiveness":[265],"synthetic":[267],"generated":[269],"through":[270],"GANs,":[274],"evaluating":[276],"feasibility":[278],"frameworks":[281],"complex,":[287],"real-world":[288],"conditions.":[289],"By":[290],"addressing":[291],"problem":[295],"applicability":[299],"SHM,":[304],"this":[305],"research":[306],"contributes":[307],"toward":[308],"realization":[310],"scalable,":[312],"autonomous,":[313],"robust":[315],"assessment":[317],"platforms":[318],"disaster-prone":[322],"infrastructure.":[323]},"counts_by_year":[],"updated_date":"2026-09-03T10:48:47.769340","created_date":"2026-09-03T00:00:00"}
