{"id":"https://openalex.org/W4413205345","doi":"https://doi.org/10.1109/iccai66501.2025.00104","title":"Regularized Tensor Completion for Structural Health Monitoring Data Imputation","display_name":"Regularized Tensor Completion for Structural Health Monitoring Data Imputation","publication_year":2025,"publication_date":"2025-03-28","ids":{"openalex":"https://openalex.org/W4413205345","doi":"https://doi.org/10.1109/iccai66501.2025.00104"},"language":"en","primary_location":{"id":"doi:10.1109/iccai66501.2025.00104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccai66501.2025.00104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 11th International Conference on Computing and Artificial Intelligence (ICCAI)","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/A5109641905","display_name":"Shenghao Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shenghao Xia","raw_affiliation_strings":["University of Arizona,Department of Mathematics,Tucson,USA"],"affiliations":[{"raw_affiliation_string":"University of Arizona,Department of Mathematics,Tucson,USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078912071","display_name":"Tahsin Afroz Hoque Nishat","orcid":null},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tahsin Afroz Hoque Nishat","raw_affiliation_strings":["Mechanics University of Arizona,Department of Civil Engineering and Engineering,Tucson,USA"],"affiliations":[{"raw_affiliation_string":"Mechanics University of Arizona,Department of Civil Engineering and Engineering,Tucson,USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015998556","display_name":"Hongki Jo","orcid":"https://orcid.org/0000-0001-5056-1154"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongki Jo","raw_affiliation_strings":["Mechanics University of Arizona,Department of Civil Engineering and Engineering,Tucson,USA"],"affiliations":[{"raw_affiliation_string":"Mechanics University of Arizona,Department of Civil Engineering and Engineering,Tucson,USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100414715","display_name":"Jian Liu","orcid":"https://orcid.org/0000-0003-0268-2941"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Liu","raw_affiliation_strings":["University of Arizona,Department of System &#x0026; Industrial Engineering,Tucson,USA"],"affiliations":[{"raw_affiliation_string":"University of Arizona,Department of System &#x0026; Industrial Engineering,Tucson,USA","institution_ids":["https://openalex.org/I138006243"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5109641905"],"corresponding_institution_ids":["https://openalex.org/I138006243"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25198413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"648","last_page":"653"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10160","display_name":"Seismic Performance and Analysis","score":0.9812999963760376,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9732999801635742,"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/imputation","display_name":"Imputation (statistics)","score":0.6818872690200806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6202096939086914},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4197104275226593},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.41104161739349365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36890625953674316},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22449031472206116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1726979911327362},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.1470983624458313}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.6818872690200806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6202096939086914},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4197104275226593},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.41104161739349365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36890625953674316},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22449031472206116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1726979911327362},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.1470983624458313},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccai66501.2025.00104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccai66501.2025.00104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 11th International Conference on Computing and Artificial Intelligence (ICCAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2024165284","https://openalex.org/W2038216838","https://openalex.org/W2073644771","https://openalex.org/W2091449379","https://openalex.org/W2896764759","https://openalex.org/W2946752227","https://openalex.org/W2956143864","https://openalex.org/W2982317909","https://openalex.org/W2999380148","https://openalex.org/W3119514399","https://openalex.org/W3204727226","https://openalex.org/W4226425408","https://openalex.org/W4387123977","https://openalex.org/W4388599812","https://openalex.org/W4396707574","https://openalex.org/W4403156755","https://openalex.org/W4406018789","https://openalex.org/W4409202831"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4211215373","https://openalex.org/W4396701345","https://openalex.org/W3217094455","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Missing":[0],"sensor":[1,15],"data":[2,52,64,117],"is":[3,93,105],"a":[4,29,61,83,108],"ubiquitous":[5],"issue":[6],"in":[7,49,115],"structural":[8],"health":[9],"monitoring":[10],"(SHM),":[11],"often":[12,32],"resulting":[13],"from":[14],"failures":[16],"and":[17,37,82],"restricting":[18],"system":[19],"effectiveness.":[20],"SHM":[21],"measurements":[22],"collected":[23],"by":[24],"spatially":[25],"distributed":[26],"sensors":[27],"within":[28],"time":[30],"interval":[31],"exhibit":[33],"intricate":[34],"temporal":[35,80],"patterns":[36],"locally-dependent":[38],"spatial":[39,84,88],"patterns,":[40],"bringing":[41],"significant":[42],"challenges":[43],"for":[44],"conventional":[45],"imputation":[46,65,118],"methods,":[47],"particularly":[48],"continuous":[50],"missing":[51,63,116],"scenarios.":[53],"To":[54],"address":[55],"these":[56],"challenges,":[57],"our":[58],"research":[59],"proposed":[60,103],"novel":[62],"method":[66,104],"named":[67],"Spatial":[68],"Regularized":[69],"Tensor":[70],"Completion":[71],"(SRTC),":[72],"which":[73],"exploits":[74],"the":[75,102],"low-rank":[76],"structure":[77],"to":[78,86,95],"handle":[79],"characteristics,":[81],"sparsity":[85],"capture":[87],"characteristics.":[89],"An":[90],"optimization":[91],"algorithm":[92],"developed":[94],"ensure":[96],"efficient":[97],"estimation.":[98],"The":[99],"performance":[100,114],"of":[101],"evaluated":[106],"with":[107],"real-world":[109],"case":[110],"study,":[111],"demonstrating":[112],"superior":[113],"comparing":[119],"benchmark":[120],"methods.":[121]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
