{"id":"https://openalex.org/W7124911673","doi":"https://doi.org/10.1109/cloudcom67567.2025.11331527","title":"Interpretable AI for Built Environment Digital Twins: The Role of Tsetlin Machines","display_name":"Interpretable AI for Built Environment Digital Twins: The Role of Tsetlin Machines","publication_year":2025,"publication_date":"2025-11-14","ids":{"openalex":"https://openalex.org/W7124911673","doi":"https://doi.org/10.1109/cloudcom67567.2025.11331527"},"language":null,"primary_location":{"id":"doi:10.1109/cloudcom67567.2025.11331527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cloudcom67567.2025.11331527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 lEEE International Conference on Cloud Computing Technology and Science (CloudCom)","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/A5005557685","display_name":"Pasindu Kuruppuarachchi","orcid":"https://orcid.org/0000-0003-2343-8227"},"institutions":[{"id":"https://openalex.org/I4210100923","display_name":"Munster Technological University","ror":"https://ror.org/013xpqh61","country_code":"IE","type":"facility","lineage":["https://openalex.org/I4210100923"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Pasindu Manisha Kuruppuarachchi","raw_affiliation_strings":["Munster Technological University,Nimbus Research Center,Cork,Ireland"],"raw_orcid":"https://orcid.org/0000-0003-2343-8227","affiliations":[{"raw_affiliation_string":"Munster Technological University,Nimbus Research Center,Cork,Ireland","institution_ids":["https://openalex.org/I4210100923"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023312332","display_name":"Arosha Dabarera","orcid":"https://orcid.org/0000-0003-3766-5172"},"institutions":[{"id":"https://openalex.org/I141584323","display_name":"University of Hertfordshire","ror":"https://ror.org/0267vjk41","country_code":"GB","type":"education","lineage":["https://openalex.org/I141584323"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Arosha Dabarera","raw_affiliation_strings":["University of Hertfordshire,Centre for Engineering Research,Hertfordshire,United Kingdom"],"raw_orcid":"https://orcid.org/0000-0003-3766-5172","affiliations":[{"raw_affiliation_string":"University of Hertfordshire,Centre for Engineering Research,Hertfordshire,United Kingdom","institution_ids":["https://openalex.org/I141584323"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005557685"],"corresponding_institution_ids":["https://openalex.org/I4210100923"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.67966182,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.8295999765396118,"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"}},"topics":[{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.8295999765396118,"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"}},{"id":"https://openalex.org/T11006","display_name":"BIM and Construction Integration","score":0.023399999365210533,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11741","display_name":"Flexible and Reconfigurable Manufacturing Systems","score":0.01119999960064888,"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/bridge","display_name":"Bridge (graph theory)","score":0.635200023651123},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.391400009393692},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.3612000048160553},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.34689998626708984},{"id":"https://openalex.org/keywords/built-environment","display_name":"Built environment","score":0.3398999869823456}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6365000009536743},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.635200023651123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6273000240325928},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5663999915122986},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.391400009393692},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.3612000048160553},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.34689998626708984},{"id":"https://openalex.org/C148803439","wikidata":"https://www.wikidata.org/wiki/Q4986688","display_name":"Built environment","level":2,"score":0.3398999869823456},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25589999556541443}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cloudcom67567.2025.11331527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cloudcom67567.2025.11331527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 lEEE International Conference on Cloud Computing Technology and Science (CloudCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4029911160469055,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2516809705","https://openalex.org/W2518003110","https://openalex.org/W2788403449","https://openalex.org/W2936611860","https://openalex.org/W2955399747","https://openalex.org/W2962772482","https://openalex.org/W2962858109","https://openalex.org/W2982936646","https://openalex.org/W2996012579","https://openalex.org/W3003667836","https://openalex.org/W3083012282","https://openalex.org/W3119077141","https://openalex.org/W3173458433","https://openalex.org/W3188098750","https://openalex.org/W4200368527","https://openalex.org/W4240539718","https://openalex.org/W4241035657","https://openalex.org/W4245883536"],"related_works":[],"abstract_inverted_index":{"Digital":[0],"Twin":[1],"(DT)":[2],"is":[3],"a":[4,121],"growing":[5],"concept":[6],"in":[7,83,128],"industries":[8],"such":[9],"as":[10],"manufacturing,":[11],"energy,":[12],"smart":[13],"cities,":[14],"and":[15,22,64,110],"built":[16,84],"environments.":[17],"To":[18,52],"bridge":[19],"the":[20,55,77,89],"digital":[21],"physical":[23],"worlds,":[24],"DTs":[25,86],"often":[26],"rely":[27],"on":[28],"state-of-the-art":[29],"Machine":[30,96],"Learning":[31],"(ML)":[32],"models.":[33],"However,":[34],"many":[35],"ML":[36],"models,":[37],"like":[38,62],"Neural":[39],"Networks,":[40],"are":[41],"considered":[42],"black":[43],"boxes,":[44],"making":[45,119],"their":[46,67],"decision-making":[47],"processes":[48],"difficult":[49],"to":[50,87,124],"interpret.":[51],"address":[53],"this,":[54],"explainable":[56],"AI":[57],"paradigm":[58],"has":[59,97],"introduced":[60],"methods":[61],"SHAP":[63],"LIME.":[65],"Despite":[66],"effectiveness,":[68],"interpreting":[69],"model":[70],"outputs":[71],"remains":[72],"challenging.":[73],"This":[74],"paper":[75],"explores":[76],"potential":[78],"of":[79,91],"using":[80],"Tsetlin":[81,95],"Machines":[82],"environment":[85],"explain":[88],"detection":[90],"structural":[92],"properties.":[93],"The":[94],"demonstrated":[98],"strong":[99],"performance":[100],"even":[101],"with":[102],"limited":[103],"training":[104],"data":[105],"while":[106],"offering":[107],"both":[108],"local":[109],"global":[111],"interpretability.":[112],"Its":[113],"rule-based":[114],"approach":[115],"provides":[116],"transparent":[117],"decision-making,":[118],"it":[120],"promising":[122],"alternative":[123],"traditional":[125],"black-box":[126],"models":[127],"DT":[129],"applications.":[130]},"counts_by_year":[],"updated_date":"2026-01-22T23:29:09.771500","created_date":"2026-01-21T00:00:00"}
