{"id":"https://openalex.org/W4391577086","doi":"https://doi.org/10.1007/s10618-024-01004-3","title":"Revealing the structural behaviour of Brunelleschi\u2019s Dome with machine learning techniques","display_name":"Revealing the structural behaviour of Brunelleschi\u2019s Dome with machine learning techniques","publication_year":2024,"publication_date":"2024-02-06","ids":{"openalex":"https://openalex.org/W4391577086","doi":"https://doi.org/10.1007/s10618-024-01004-3"},"language":"en","primary_location":{"id":"doi:10.1007/s10618-024-01004-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-024-01004-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-024-01004-3.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10618-024-01004-3.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029086312","display_name":"Stefano Masini","orcid":"https://orcid.org/0000-0001-9864-5760"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Masini","raw_affiliation_strings":["Department of Computer Science, University of Pisa, Largo B. Pontecorvo, 3, Pisa, I-56127, Italy"],"raw_orcid":"https://orcid.org/0000-0001-9864-5760","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pisa, Largo B. Pontecorvo, 3, Pisa, I-56127, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065620308","display_name":"Silvia Bacci","orcid":"https://orcid.org/0000-0001-8097-3870"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Silvia Bacci","raw_affiliation_strings":["Department of Statistics, Computer Science, Applications \u201cG. Parenti\u201d, University of Florence, v.le Morgagni, 59, Florence, I-50134, Italy","Department of Statistics, Computer Science, Applications \"G. Parenti\", University of Florence, v.le Morgagni, 59, Florence, I-50134, Italy"],"raw_orcid":"https://orcid.org/0000-0001-8097-3870","affiliations":[{"raw_affiliation_string":"Department of Statistics, Computer Science, Applications \u201cG. Parenti\u201d, University of Florence, v.le Morgagni, 59, Florence, I-50134, Italy","institution_ids":["https://openalex.org/I45084792"]},{"raw_affiliation_string":"Department of Statistics, Computer Science, Applications \"G. Parenti\", University of Florence, v.le Morgagni, 59, Florence, I-50134, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016831126","display_name":"Fabrizio Cipollini","orcid":"https://orcid.org/0000-0001-8745-9049"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabrizio Cipollini","raw_affiliation_strings":["Department of Statistics, Computer Science, Applications \u201cG. Parenti\u201d, University of Florence, v.le Morgagni, 59, Florence, I-50134, Italy","Department of Statistics, Computer Science, Applications \"G. Parenti\", University of Florence, v.le Morgagni, 59, Florence, I-50134, Italy"],"raw_orcid":"https://orcid.org/0000-0001-8745-9049","affiliations":[{"raw_affiliation_string":"Department of Statistics, Computer Science, Applications \u201cG. Parenti\u201d, University of Florence, v.le Morgagni, 59, Florence, I-50134, Italy","institution_ids":["https://openalex.org/I45084792"]},{"raw_affiliation_string":"Department of Statistics, Computer Science, Applications \"G. Parenti\", University of Florence, v.le Morgagni, 59, Florence, I-50134, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067365171","display_name":"Bruno Bertaccini","orcid":"https://orcid.org/0000-0002-5816-2964"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Bruno Bertaccini","raw_affiliation_strings":["Department of Statistics, Computer Science, Applications \u201cG. Parenti\u201d, University of Florence, v.le Morgagni, 59, Florence, I-50134, Italy","Department of Statistics, Computer Science, Applications \"G. Parenti\", University of Florence, v.le Morgagni, 59, Florence, I-50134, Italy"],"raw_orcid":"https://orcid.org/0000-0002-5816-2964","affiliations":[{"raw_affiliation_string":"Department of Statistics, Computer Science, Applications \u201cG. Parenti\u201d, University of Florence, v.le Morgagni, 59, Florence, I-50134, Italy","institution_ids":["https://openalex.org/I45084792"]},{"raw_affiliation_string":"Department of Statistics, Computer Science, Applications \"G. Parenti\", University of Florence, v.le Morgagni, 59, Florence, I-50134, Italy","institution_ids":["https://openalex.org/I45084792"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067365171"],"corresponding_institution_ids":["https://openalex.org/I45084792"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":9.4202,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.97525259,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"38","issue":"3","first_page":"1440","last_page":"1465"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12981","display_name":"Conservation Techniques and Studies","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1206","display_name":"Conservation"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dome","display_name":"Dome (geology)","score":0.7271380424499512},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6581029891967773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6125299334526062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5910809636116028},{"id":"https://openalex.org/keywords/masonry","display_name":"Masonry","score":0.5740146636962891},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5403971076011658},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5177547335624695},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4603552222251892},{"id":"https://openalex.org/keywords/structural-health-monitoring","display_name":"Structural health monitoring","score":0.44954177737236023},{"id":"https://openalex.org/keywords/the-renaissance","display_name":"The Renaissance","score":0.4246612787246704},{"id":"https://openalex.org/keywords/architectural-engineering","display_name":"Architectural engineering","score":0.36675339937210083},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.27186277508735657},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24263876676559448},{"id":"https://openalex.org/keywords/civil-engineering","display_name":"Civil engineering","score":0.21678537130355835},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.13359582424163818}],"concepts":[{"id":"https://openalex.org/C189092281","wikidata":"https://www.wikidata.org/wiki/Q3236743","display_name":"Dome (geology)","level":2,"score":0.7271380424499512},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6581029891967773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6125299334526062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5910809636116028},{"id":"https://openalex.org/C535899295","wikidata":"https://www.wikidata.org/wiki/Q272999","display_name":"Masonry","level":2,"score":0.5740146636962891},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5403971076011658},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5177547335624695},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4603552222251892},{"id":"https://openalex.org/C2776247918","wikidata":"https://www.wikidata.org/wiki/Q1423713","display_name":"Structural health monitoring","level":2,"score":0.44954177737236023},{"id":"https://openalex.org/C52069626","wikidata":"https://www.wikidata.org/wiki/Q4692","display_name":"The Renaissance","level":2,"score":0.4246612787246704},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.36675339937210083},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.27186277508735657},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24263876676559448},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.21678537130355835},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.13359582424163818},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10618-024-01004-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-024-01004-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-024-01004-3.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},{"id":"pmh:oai:flore.unifi.it:2158/1349651","is_oa":true,"landing_page_url":"https://hdl.handle.net/2158/1349651","pdf_url":"https://flore.unifi.it/bitstream/2158/1349651/1/s10618-024-01004-3.pdf","source":{"id":"https://openalex.org/S4306402033","display_name":"Florence Research (University of Florence)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45084792","host_organization_name":"University of Florence","host_organization_lineage":["https://openalex.org/I45084792"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10618-024-01004-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-024-01004-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-024-01004-3.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7900000214576721,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322648","display_name":"Universit\u00e0 degli Studi di Firenze","ror":"https://ror.org/04jr1s763"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391577086.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W59975075","https://openalex.org/W120019263","https://openalex.org/W1495297318","https://openalex.org/W1565347943","https://openalex.org/W1587559447","https://openalex.org/W1987355200","https://openalex.org/W2001141328","https://openalex.org/W2028094392","https://openalex.org/W2038233086","https://openalex.org/W2064675550","https://openalex.org/W2071128523","https://openalex.org/W2072043406","https://openalex.org/W2080032608","https://openalex.org/W2131774270","https://openalex.org/W2266349331","https://openalex.org/W2777635006","https://openalex.org/W2805089775","https://openalex.org/W2950635152","https://openalex.org/W2962843322","https://openalex.org/W3005743304","https://openalex.org/W3022643593","https://openalex.org/W3025425395","https://openalex.org/W3090251879","https://openalex.org/W3090789213","https://openalex.org/W3131860561","https://openalex.org/W3132782787","https://openalex.org/W3199355704","https://openalex.org/W3203473638","https://openalex.org/W4245341266","https://openalex.org/W4292494783","https://openalex.org/W4307265291","https://openalex.org/W4317506363","https://openalex.org/W4385723292","https://openalex.org/W4386041242","https://openalex.org/W4388186283"],"related_works":["https://openalex.org/W1988681129","https://openalex.org/W2952670629","https://openalex.org/W2096160964","https://openalex.org/W2188455213","https://openalex.org/W4313856371","https://openalex.org/W824386659","https://openalex.org/W2365560274","https://openalex.org/W3163917299","https://openalex.org/W2915357995","https://openalex.org/W2006188059"],"abstract_inverted_index":{"Abstract":[0],"The":[1,114],"Brunelleschi\u2019s":[2],"Dome":[3,137],"is":[4,15,91,119,215],"one":[5],"of":[6,11,51,67,89,98,110,116,135,145,159,188,204,208,225,231],"the":[7,12,17,24,33,36,71,76,96,99,108,123,131,136,157,165,171,205,209,221,229],"most":[8],"iconic":[9],"symbols":[10],"Renaissance":[13],"and":[14,57,103,190,201,223],"among":[16],"largest":[18],"masonry":[19,29],"domes":[20],"ever":[21],"constructed.":[22],"Since":[23],"late":[25],"17th":[26],"century,":[27],"first":[28,124],"cracks":[30],"appeared":[31],"on":[32,70,164],"Dome,":[34],"giving":[35],"start":[37],"to":[38,94,129,195],"a":[39,47,64,86,139,186,235],"monitoring":[40,48,172],"activity.":[41],"In":[42],"modern":[43],"times,":[44],"since":[45],"1988":[46],"system":[49],"comprised":[50],"166":[52],"electronic":[53],"sensors,":[54],"including":[55],"deformometers":[56,77],"thermometers,":[58],"has":[59],"been":[60],"in":[61,107,179,220,234,237],"operation,":[62],"providing":[63],"valuable":[65],"source":[66],"real-time":[68],"data":[69,90],"monument\u2019s":[72],"health":[73],"status.":[74],"With":[75],"taking":[78],"measurements":[79],"at":[80],"least":[81],"four":[82],"times":[83],"per":[84],"day,":[85],"vast":[87],"amount":[88],"now":[92],"available":[93],"explore":[95],"potential":[97],"latest":[100],"Artificial":[101],"Intelligence":[102],"Machine":[104],"Learning":[105],"techniques":[106,163],"field":[109],"historical-architectural":[111],"heritage":[112],"conservation.":[113],"objective":[115],"this":[117,154,213],"contribution":[118,214],"twofold.":[120],"Firstly,":[121],"for":[122,177,199],"time":[125],"ever,":[126],"we":[127,184],"aim":[128],"unveil":[130],"overall":[132],"structural":[133,206],"behaviour":[134],"as":[138,141,143,150],"whole,":[140],"well":[142],"that":[144],"its":[146],"specific":[147],"sections":[148],"(known":[149],"webs).":[151],"We":[152,211],"achieve":[153],"by":[155,170],"evaluating":[156],"effectiveness":[158],"certain":[160],"dimensionality":[161],"reduction":[162],"extensive":[166],"daily":[167],"detections":[168],"generated":[169],"system,":[173],"while":[174],"also":[175],"accounting":[176],"fluctuations":[178],"temperature":[180],"over":[181],"time.":[182],"Secondly,":[183],"estimate":[185],"number":[187],"recurrent":[189],"convolutional":[191],"neural":[192],"network":[193],"models":[194],"verify":[196],"their":[197],"capability":[198],"medium-":[200],"long-term":[202],"prediction":[203],"evolution":[207],"Dome.":[210],"believe":[212],"an":[216],"important":[217],"step":[218],"forward":[219],"protection":[222],"preservation":[224],"historical":[226],"buildings,":[227],"showing":[228],"utility":[230],"machine":[232],"learning":[233],"context":[236],"which":[238],"these":[239],"are":[240],"still":[241],"little":[242],"used.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}