{"id":"https://openalex.org/W3158337739","doi":"https://doi.org/10.1109/icpr48806.2021.9412157","title":"Inferring Functional Properties from Fluid Dynamics Features","display_name":"Inferring Functional Properties from Fluid Dynamics Features","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3158337739","doi":"https://doi.org/10.1109/icpr48806.2021.9412157","mag":"3158337739"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","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/A5001627130","display_name":"Andrea Schillaci","orcid":"https://orcid.org/0000-0003-0052-1896"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Andrea Schillaci","raw_affiliation_strings":["Tecnologie Aerospaziali Politecnico di Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Tecnologie Aerospaziali Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086762895","display_name":"Maurizio Quadrio","orcid":"https://orcid.org/0000-0002-7662-3576"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maurizio Quadrio","raw_affiliation_strings":["Tecnologie Aerospaziali Politecnico di Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Tecnologie Aerospaziali Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081511318","display_name":"Carlotta Pipolo","orcid":"https://orcid.org/0000-0001-6628-2117"},"institutions":[{"id":"https://openalex.org/I4396570669","display_name":"Azienda Socio Sanitaria Territoriale Santi Paolo e Carlo","ror":"https://ror.org/03dpchx26","country_code":null,"type":"government","lineage":["https://openalex.org/I4396570669"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carlotta Pipolo","raw_affiliation_strings":["Unit\u00e0 di Otorinolaringoiatria, ASST Santi Paolo e Carlo, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Unit\u00e0 di Otorinolaringoiatria, ASST Santi Paolo e Carlo, Milano, Italy","institution_ids":["https://openalex.org/I4396570669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017130830","display_name":"Marcello Restelli","orcid":"https://orcid.org/0000-0002-6322-1076"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marcello Restelli","raw_affiliation_strings":["Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006716646","display_name":"Giacomo Boracchi","orcid":"https://orcid.org/0000-0002-1650-3054"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giacomo Boracchi","raw_affiliation_strings":["Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5001627130"],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":0.2596,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.52098936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4091","last_page":"4098"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.996399998664856,"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"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.996399998664856,"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"}},{"id":"https://openalex.org/T10360","display_name":"Fluid Dynamics and Turbulent Flows","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9696000218391418,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computational-fluid-dynamics","display_name":"Computational fluid dynamics","score":0.9538736939430237},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7448209524154663},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5969001650810242},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.48122715950012207},{"id":"https://openalex.org/keywords/fluid-dynamics","display_name":"Fluid dynamics","score":0.471658855676651},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41492295265197754},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3700048327445984},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.16333356499671936},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10461592674255371},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.1015467643737793}],"concepts":[{"id":"https://openalex.org/C1633027","wikidata":"https://www.wikidata.org/wiki/Q815820","display_name":"Computational fluid dynamics","level":2,"score":0.9538736939430237},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7448209524154663},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5969001650810242},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.48122715950012207},{"id":"https://openalex.org/C90278072","wikidata":"https://www.wikidata.org/wiki/Q216320","display_name":"Fluid dynamics","level":2,"score":0.471658855676651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41492295265197754},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3700048327445984},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.16333356499671936},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10461592674255371},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.1015467643737793},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1158431","is_oa":false,"landing_page_url":"https://ailb-web.ing.unimore.it/icpr/author/1514","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1723619723","https://openalex.org/W1974097079","https://openalex.org/W1974215955","https://openalex.org/W1995774881","https://openalex.org/W2110187357","https://openalex.org/W2319329301","https://openalex.org/W2534240011","https://openalex.org/W2585298970","https://openalex.org/W2594632285","https://openalex.org/W2785024182","https://openalex.org/W2795982117","https://openalex.org/W2951279763","https://openalex.org/W2963112935","https://openalex.org/W2973119841","https://openalex.org/W2981246174","https://openalex.org/W2985962305","https://openalex.org/W3003922491","https://openalex.org/W3007149244","https://openalex.org/W3101378293","https://openalex.org/W3102140816","https://openalex.org/W3105469151","https://openalex.org/W6685812147","https://openalex.org/W6748177122"],"related_works":["https://openalex.org/W3006027083","https://openalex.org/W2352639646","https://openalex.org/W4253695312","https://openalex.org/W2809988020","https://openalex.org/W2265619912","https://openalex.org/W2360943024","https://openalex.org/W2556915148","https://openalex.org/W204964826","https://openalex.org/W2146338266","https://openalex.org/W2990747292"],"abstract_inverted_index":{"In":[0,49],"a":[1,54,72,103,143,193],"wide":[2],"range":[3],"of":[4,25,46,76,81,99,109,164,171,187,198],"applied":[5],"problems":[6],"involving":[7],"fluid":[8,47],"flows,":[9],"Computational":[10],"Fluid":[11],"Dynamics":[12],"(CFD)":[13],"provides":[14],"detailed":[15],"quantitative":[16],"information":[17,152],"on":[18],"the":[19,44,77,84,95,138,161,168,173,179,185],"flow":[20],"field,":[21],"at":[22],"variable":[23],"level":[24],"fidelity":[26],"and":[27,83,113,167,175,189],"computational":[28,97],"cost.":[29],"However,":[30],"CFD":[31,68,125,144,176,190],"alone":[32],"cannot":[33],"predict":[34],"high-level":[35,199],"functional":[36,151,200],"properties":[37,140],"that":[38,88,118,137,153,184],"are":[39],"not":[40,155],"easily":[41],"obtained":[42],"from":[43,67,124],"equations":[45],"motion.":[48],"this":[50],"work,":[51],"we":[52,116,182],"present":[53],"data-driven":[55],"framework":[56],"to":[57,94,130,149],"extract":[58],"these":[59],"additional":[60],"information,":[61],"such":[62],"as":[63],"medical":[64],"diagnostic":[65],"output,":[66],"solutions.":[69],"This":[70],"is":[71],"challenging":[73],"task":[74],"because":[75],"huge":[78],"data":[79,87],"dimensionality":[80],"CFD,":[82],"limited":[85],"training":[86],"can":[89,121,146,191],"be":[90,122,147],"typically":[91],"gathered":[92],"due":[93],"large":[96],"cost":[98],"CFD.":[100],"By":[101],"pursuing":[102],"traditional":[104],"Machine":[105],"Learning":[106],"(ML)":[107],"pipeline":[108],"pre-processing,":[110],"feature":[111],"extraction,":[112],"model":[114],"training,":[115],"demonstrate":[117,183],"informative":[119],"features":[120],"extracted":[123],"data.":[126],"Two":[127],"experiments,":[128],"pertaining":[129],"different":[131],"application":[132],"domains,":[133],"support":[134],"our":[135,165],"claim":[136],"convective":[139],"implicit":[141],"into":[142],"solution":[145],"leveraged":[148],"retrieve":[150],"does":[154],"admit":[156],"an":[157],"analytical":[158],"definition.":[159],"Despite":[160],"preliminary":[162],"nature":[163],"study":[166],"relative":[169],"simplicity":[170],"both":[172],"geometrical":[174],"models,":[177],"for":[178],"first":[180],"time":[181],"combination":[186],"ML":[188],"diagnose":[192],"complex":[194],"system":[195],"in":[196],"terms":[197],"properties.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
