{"id":"https://openalex.org/W4207041567","doi":"https://doi.org/10.1109/ssci50451.2021.9660034","title":"Exploiting Generative Models for Performance Predictions of 3D Car Designs","display_name":"Exploiting Generative Models for Performance Predictions of 3D Car Designs","publication_year":2021,"publication_date":"2021-12-05","ids":{"openalex":"https://openalex.org/W4207041567","doi":"https://doi.org/10.1109/ssci50451.2021.9660034"},"language":"en","primary_location":{"id":"doi:10.1109/ssci50451.2021.9660034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9660034","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.birmingham.ac.uk/en/publications/f9d718b2-81a8-4dac-b6a7-f6502eeb7cc2","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101113641","display_name":"Sneha Saha","orcid":"https://orcid.org/0009-0006-9306-6499"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sneha Saha","raw_affiliation_strings":["Honda Research Institute Europe GmbH, Offenbach, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe GmbH, Offenbach, Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083846200","display_name":"Thiago Rios","orcid":"https://orcid.org/0000-0003-1708-3378"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thiago Rios","raw_affiliation_strings":["Honda Research Institute Europe GmbH, Offenbach, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe GmbH, Offenbach, Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064089961","display_name":"Leandro L. Minku","orcid":"https://orcid.org/0000-0002-2639-0671"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Leandro L. Minku","raw_affiliation_strings":["CERCIA, School of Computer Science, University of Birmingham, Birmingham, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CERCIA, School of Computer Science, University of Birmingham, Birmingham, UK","institution_ids":["https://openalex.org/I79619799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110838893","display_name":"Bas Vas Stein","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bas Vas Stein","raw_affiliation_strings":["Leiden Institute of Advanced Computer Science (LIACS), Leiden, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leiden Institute of Advanced Computer Science (LIACS), Leiden, The Netherlands","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004728957","display_name":"Patricia Wollstadt","orcid":"https://orcid.org/0000-0002-7105-5207"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patricia Wollstadt","raw_affiliation_strings":["Honda Research Institute Europe GmbH, Offenbach, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe GmbH, Offenbach, Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100635494","display_name":"Xin Yao","orcid":"https://orcid.org/0000-0001-8837-4442"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Xin Yao","raw_affiliation_strings":["CERCIA, School of Computer Science, University of Birmingham, Birmingham, UK","Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CERCIA, School of Computer Science, University of Birmingham, Birmingham, UK","institution_ids":["https://openalex.org/I79619799"]},{"raw_affiliation_string":"Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062646838","display_name":"Thomas B\u00e4ck","orcid":"https://orcid.org/0000-0001-6768-1478"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas Back","raw_affiliation_strings":["Leiden Institute of Advanced Computer Science (LIACS), Leiden, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leiden Institute of Advanced Computer Science (LIACS), Leiden, The Netherlands","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066418464","display_name":"Bernhard Sendhoff","orcid":"https://orcid.org/0000-0002-1233-9584"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernhard Sendhoff","raw_affiliation_strings":["Honda Research Institute Europe GmbH, Offenbach, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe GmbH, Offenbach, Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012167116","display_name":"Stefan Menzel","orcid":"https://orcid.org/0000-0001-7594-2308"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Menzel","raw_affiliation_strings":["Honda Research Institute Europe GmbH, Offenbach, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe GmbH, Offenbach, Germany","institution_ids":["https://openalex.org/I4210112253"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.995199978351593,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.995199978351593,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9905999898910522,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9336000084877014,"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/computer-science","display_name":"Computer science","score":0.7781842947006226},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7463964819908142},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6673365235328674},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6115387678146362},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6027441024780273},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.584691047668457},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5517638325691223},{"id":"https://openalex.org/keywords/engineering-design-process","display_name":"Engineering design process","score":0.5154145956039429},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5040932893753052},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.4852878749370575},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45817136764526367},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10076287388801575}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7781842947006226},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7463964819908142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6673365235328674},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6115387678146362},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6027441024780273},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.584691047668457},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5517638325691223},{"id":"https://openalex.org/C34972735","wikidata":"https://www.wikidata.org/wiki/Q2920267","display_name":"Engineering design process","level":2,"score":0.5154145956039429},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5040932893753052},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.4852878749370575},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45817136764526367},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10076287388801575},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/ssci50451.2021.9660034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9660034","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/f9d718b2-81a8-4dac-b6a7-f6502eeb7cc2","is_oa":true,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/f9d718b2-81a8-4dac-b6a7-f6502eeb7cc2","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.atira.dk:publications/f9d718b2-81a8-4dac-b6a7-f6502eeb7cc2","is_oa":false,"landing_page_url":"https://birmingham.elsevierpure.com/en/publications/f9d718b2-81a8-4dac-b6a7-f6502eeb7cc2","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:scholarlypublications.universiteitleiden.nl:item_3277029","is_oa":false,"landing_page_url":"https://hdl.handle.net/1887/3277029","pdf_url":null,"source":{"id":"https://openalex.org/S4306400850","display_name":"Leiden Repository (Leiden University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I121797337","host_organization_name":"Leiden University","host_organization_lineage":["https://openalex.org/I121797337"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:ul:oai:scholarlypublications.universiteitleiden.nl:item_3277029","is_oa":false,"landing_page_url":"http://hdl.handle.net/1887/3277029","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"STARTPAGE=1;ENDPAGE=9;TITLE=None","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/f9d718b2-81a8-4dac-b6a7-f6502eeb7cc2","is_oa":true,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/f9d718b2-81a8-4dac-b6a7-f6502eeb7cc2","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"contributionToPeriodical"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1978626680","https://openalex.org/W2091085232","https://openalex.org/W2092939357","https://openalex.org/W2163922914","https://openalex.org/W2529996553","https://openalex.org/W2560609797","https://openalex.org/W2775182259","https://openalex.org/W2786532017","https://openalex.org/W2811105005","https://openalex.org/W2890347315","https://openalex.org/W2949671016","https://openalex.org/W2953046278","https://openalex.org/W2963121255","https://openalex.org/W3007676935","https://openalex.org/W3089451348","https://openalex.org/W3117629641","https://openalex.org/W3119296888","https://openalex.org/W3170141505","https://openalex.org/W4320013936","https://openalex.org/W4391602018","https://openalex.org/W4394671432","https://openalex.org/W6631190155","https://openalex.org/W6640963894","https://openalex.org/W6673765422","https://openalex.org/W6687484953","https://openalex.org/W6730998768","https://openalex.org/W6739778489","https://openalex.org/W6746829601","https://openalex.org/W6748208425","https://openalex.org/W6763422710"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4322760874"],"abstract_inverted_index":{"In":[0,125,227],"automotive":[1,55],"digital":[2],"development,":[3],"engineers":[4,90],"utilize":[5],"multiple":[6],"virtual":[7],"prototyping":[8],"tools":[9,238],"to":[10,91,110,120,160,192,239],"design":[11,33,44,48,123,243],"and":[12,26,85,117,141],"assess":[13],"the":[14,54,138,151,162,169,182,186,194,202,241],"performance":[15,21,51,147],"of":[16,95,164,185,205],"3D":[17,43,87,96,174],"shapes.":[18],"However,":[19],"accurate":[20],"simulations":[22],"are":[23,67,108,118,144],"computationally":[24],"expensive":[25],"time-consuming,":[27],"which":[28],"may":[29],"be":[30],"prohibitive":[31],"for":[32,47,63,83,150,197,211],"optimization":[34],"tasks.":[35],"To":[36],"address":[37],"this":[38,126],"challenge,":[39],"we":[40,128,180,229],"envision":[41],"a":[42,68,101,209],"assistance":[45],"system":[46],"exploration":[49],"with":[50,221],"assessment":[52],"in":[53,59,100,105,146,214],"domain.":[56],"Recent":[57],"advances":[58],"deep":[60,233],"learning":[61,64,84,234],"methods":[62],"geometric":[65,232],"data":[66,88,140,196,206],"promising":[69],"step":[70],"towards":[71],"realizing":[72],"such":[73,131],"systems.":[74],"Deep":[75],"learning-based":[76,157],"(variational)":[77,177],"autoencoder":[78],"models":[79,159],"have":[80],"been":[81],"used":[82],"compressing":[86],"allowing":[89],"generate":[92],"low-dimensional":[93,170],"representations":[94,99,106,116,133,143],"designs.":[97],"Finding":[98],"data-driven":[102,132],"fashion":[103],"results":[104],"that":[107,218,231],"agnostic":[109],"downstream":[111],"tasks":[112,149],"performed":[113],"on":[114,168],"these":[115],"believed":[119],"capture":[121],"relevant":[122,135],"features.":[124],"paper,":[127],"evaluate":[129],"whether":[130,142],"contain":[134],"information":[136],"about":[137],"input":[139,152],"meaningful":[145],"prediction":[148,225],"data.":[153],"We":[154,216],"use":[155],"machine":[156],"surrogate":[158,199,212],"predict":[161],"performances":[163],"car":[165],"shapes":[166,223],"based":[167],"representation":[171,187],"learned":[172,188],"by":[173,189],"point":[175],"cloud":[176],"autoencoders.":[178],"Furthermore,":[179],"exploit":[181],"stochastic":[183],"nature":[184],"variational":[190],"autoencoders":[191],"augment":[193],"training":[195,220],"our":[198],"models,":[200],"since":[201],"limited":[203],"amount":[204],"is":[207],"usually":[208],"challenge":[210],"modeling":[213],"engineering.":[215],"demonstrate":[217],"augmenting":[219],"generated":[222],"improves":[224],"accuracy.":[226],"sum,":[228],"find":[230],"approaches":[235],"offer":[236],"powerful":[237],"support":[240],"engineering":[242],"process.":[244]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
