{"id":"https://openalex.org/W2762210428","doi":"https://doi.org/10.1109/rtsi.2017.8065905","title":"Deep learning for virtual metrology: Modeling with optical emission spectroscopy data","display_name":"Deep learning for virtual metrology: Modeling with optical emission spectroscopy data","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2762210428","doi":"https://doi.org/10.1109/rtsi.2017.8065905","mag":"2762210428"},"language":"en","primary_location":{"id":"doi:10.1109/rtsi.2017.8065905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rtsi.2017.8065905","pdf_url":null,"source":{"id":"https://openalex.org/S4306498155","display_name":"2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI)","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/A5032614224","display_name":"Matteo Terzi","orcid":null},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Matteo Terzi","raw_affiliation_strings":["Human-Inspired Technology Research Center, University of Padova, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Human-Inspired Technology Research Center, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019668140","display_name":"Chiara Masiero","orcid":"https://orcid.org/0000-0003-1948-049X"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Chiara Masiero","raw_affiliation_strings":["Human-Inspired Technology Research Center, University of Padova, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Human-Inspired Technology Research Center, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043391732","display_name":"Alessandro Beghi","orcid":"https://orcid.org/0000-0003-2252-2179"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Beghi","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006010436","display_name":"Marco Maggipinto","orcid":"https://orcid.org/0000-0003-4705-9651"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Maggipinto","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026617079","display_name":"Gian Antonio Susto","orcid":"https://orcid.org/0000-0001-5739-9639"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gian Antonio Susto","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032614224"],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":null,"apc_paid":null,"fwci":2.1433,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.8908581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9997000098228455,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9997000098228455,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/metrology","display_name":"Metrology","score":0.9188765287399292},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6955026984214783},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6443507671356201},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6137439608573914},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5419477224349976},{"id":"https://openalex.org/keywords/semiconductor-device-fabrication","display_name":"Semiconductor device fabrication","score":0.47689250111579895},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4747788608074188},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.46659043431282043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4661347270011902},{"id":"https://openalex.org/keywords/dimensional-metrology","display_name":"Dimensional metrology","score":0.43375471234321594},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40854957699775696},{"id":"https://openalex.org/keywords/wafer","display_name":"Wafer","score":0.27998843789100647},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2653687000274658},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.10907799005508423},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10609087347984314},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.0856156051158905}],"concepts":[{"id":"https://openalex.org/C195766429","wikidata":"https://www.wikidata.org/wiki/Q394","display_name":"Metrology","level":2,"score":0.9188765287399292},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6955026984214783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6443507671356201},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6137439608573914},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5419477224349976},{"id":"https://openalex.org/C66018809","wikidata":"https://www.wikidata.org/wiki/Q1570432","display_name":"Semiconductor device fabrication","level":3,"score":0.47689250111579895},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4747788608074188},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.46659043431282043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4661347270011902},{"id":"https://openalex.org/C165880335","wikidata":"https://www.wikidata.org/wiki/Q5277273","display_name":"Dimensional metrology","level":3,"score":0.43375471234321594},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40854957699775696},{"id":"https://openalex.org/C160671074","wikidata":"https://www.wikidata.org/wiki/Q267131","display_name":"Wafer","level":2,"score":0.27998843789100647},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2653687000274658},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.10907799005508423},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10609087347984314},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0856156051158905},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/rtsi.2017.8065905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rtsi.2017.8065905","pdf_url":null,"source":{"id":"https://openalex.org/S4306498155","display_name":"2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI)","raw_type":"proceedings-article"},{"id":"pmh:oai:www.research.unipd.it:11577/3256313","is_oa":false,"landing_page_url":"http://hdl.handle.net/11577/3256313","pdf_url":null,"source":{"id":"https://openalex.org/S4377196283","display_name":"Research Padua  Archive (University of Padua)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"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":[{"id":"https://metadata.un.org/sdg/9","score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1498436455","https://openalex.org/W1522301498","https://openalex.org/W1677182931","https://openalex.org/W2020414737","https://openalex.org/W2047028564","https://openalex.org/W2058299210","https://openalex.org/W2095705004","https://openalex.org/W2114367267","https://openalex.org/W2120967219","https://openalex.org/W2144513243","https://openalex.org/W2145697300","https://openalex.org/W2159109921","https://openalex.org/W2166774870","https://openalex.org/W2271840356","https://openalex.org/W2342724584","https://openalex.org/W2401537403","https://openalex.org/W2590542424","https://openalex.org/W2963574257","https://openalex.org/W2964121744","https://openalex.org/W4234173777","https://openalex.org/W6674330103","https://openalex.org/W6681151457"],"related_works":["https://openalex.org/W2061967405","https://openalex.org/W2392646414","https://openalex.org/W2008976958","https://openalex.org/W4248596843","https://openalex.org/W2082858021","https://openalex.org/W2155564425","https://openalex.org/W2151505334","https://openalex.org/W2507812949","https://openalex.org/W2115540908","https://openalex.org/W4256167503"],"abstract_inverted_index":{"Virtual":[0,18,44,57,129],"Metrology":[1,19,45,58,130],"is":[2,20,60,91,135,156],"one":[3],"of":[4,17,24,55,81,96,114,158],"the":[5,62,74,112,159],"most":[6],"prominent":[7],"Advanced":[8],"Process":[9],"Control":[10],"applications":[11],"in":[12,79],"Semiconductor":[13],"Manufacturing.":[14],"The":[15,53,132,145],"goal":[16],"to":[21,32,41,119,125,143],"provide":[22,126],"estimations":[23],"quantities":[25],"that":[26,66,99],"are":[27,37,47],"important":[28],"for":[29],"production":[30],"and":[31,70,124,154],"assess":[33],"process":[34],"quality,":[35],"but":[36],"costly":[38],"or":[39],"impossible":[40],"be":[42,68],"measured.":[43],"solutions":[46,59],"based":[48],"on":[49,137],"Machine":[50],"Learning":[51,117],"approaches.":[52],"bottleneck":[54],"developing":[56],"generally":[61],"feature":[63,89,122,160],"extraction":[64,90,123,161],"phase":[65],"can":[67,71],"time-consuming,":[69],"deeply":[72],"affect":[73],"estimation":[75],"performance.":[76],"In":[77,107],"particular,":[78],"presence":[80],"data":[82,153],"with":[83,103],"additional":[84],"dimensions,":[85],"such":[86],"as":[87],"time,":[88],"typically":[92],"performed":[93],"by":[94],"means":[95],"heuristic":[97],"approaches":[98,118],"may":[100],"pick":[101],"features":[102],"poor":[104],"predictive":[105],"capabilities.":[106],"this":[108],"work,":[109],"we":[110],"propose":[111],"usage":[113],"modern":[115],"Deep":[116],"bypass":[120],"manual":[121],"high-performance":[127],"automatic":[128],"modules.":[131],"proposed":[133],"methodology":[134],"tested":[136],"a":[138],"real":[139],"industrial":[140],"dataset":[141,146],"related":[142],"Etching.":[144],"at":[147],"hand":[148],"contains":[149],"Optical":[150],"Emission":[151],"Spectroscopy":[152],"it":[155],"paradigmatic":[157],"problem":[162],"under":[163],"examination.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
