{"id":"https://openalex.org/W2739770319","doi":"https://doi.org/10.1109/civemsa.2017.7995316","title":"Quality prediction in injection molding","display_name":"Quality prediction in injection molding","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2739770319","doi":"https://doi.org/10.1109/civemsa.2017.7995316","mag":"2739770319"},"language":"en","primary_location":{"id":"doi:10.1109/civemsa.2017.7995316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa.2017.7995316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1804.04899","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Pierre Nagorny","orcid":null},"institutions":[{"id":"https://openalex.org/I70900168","display_name":"Universit\u00e9 Savoie Mont Blanc","ror":"https://ror.org/04gqg1a07","country_code":"FR","type":"education","lineage":["https://openalex.org/I70900168"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Pierre Nagorny","raw_affiliation_strings":["SYMME Laboratory Savoie Mont Blanc University Annecy, France"],"affiliations":[{"raw_affiliation_string":"SYMME Laboratory Savoie Mont Blanc University Annecy, France","institution_ids":["https://openalex.org/I70900168"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Maurice Pillet","orcid":null},"institutions":[{"id":"https://openalex.org/I70900168","display_name":"Universit\u00e9 Savoie Mont Blanc","ror":"https://ror.org/04gqg1a07","country_code":"FR","type":"education","lineage":["https://openalex.org/I70900168"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Maurice Pillet","raw_affiliation_strings":["SYMME Laboratory Savoie Mont Blanc University Annecy, France"],"affiliations":[{"raw_affiliation_string":"SYMME Laboratory Savoie Mont Blanc University Annecy, France","institution_ids":["https://openalex.org/I70900168"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Eric Pairel","orcid":null},"institutions":[{"id":"https://openalex.org/I70900168","display_name":"Universit\u00e9 Savoie Mont Blanc","ror":"https://ror.org/04gqg1a07","country_code":"FR","type":"education","lineage":["https://openalex.org/I70900168"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Eric Pairel","raw_affiliation_strings":["SYMME Laboratory Savoie Mont Blanc University Annecy, France"],"affiliations":[{"raw_affiliation_string":"SYMME Laboratory Savoie Mont Blanc University Annecy, France","institution_ids":["https://openalex.org/I70900168"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ronan Le Goff","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151200","display_name":"Innovation Plasturgie Composites","ror":"https://ror.org/04hnkx132","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210151200"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ronan Le Goff","raw_affiliation_strings":["IPC-Centre Technique Industriel de la Plasturgie et des Composites Bellignat, France"],"affiliations":[{"raw_affiliation_string":"IPC-Centre Technique Industriel de la Plasturgie et des Composites Bellignat, France","institution_ids":["https://openalex.org/I4210151200"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jerome Loureaux","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151200","display_name":"Innovation Plasturgie Composites","ror":"https://ror.org/04hnkx132","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210151200"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jerome Loureaux","raw_affiliation_strings":["IPC-Centre Technique Industriel de la Plasturgie et des Composites Bellignat, France"],"affiliations":[{"raw_affiliation_string":"IPC-Centre Technique Industriel de la Plasturgie et des Composites Bellignat, France","institution_ids":["https://openalex.org/I4210151200"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Marlene Wali","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151200","display_name":"Innovation Plasturgie Composites","ror":"https://ror.org/04hnkx132","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210151200"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marlene Wali","raw_affiliation_strings":["IPC-Centre Technique Industriel de la Plasturgie et des Composites Bellignat, France"],"affiliations":[{"raw_affiliation_string":"IPC-Centre Technique Industriel de la Plasturgie et des Composites Bellignat, France","institution_ids":["https://openalex.org/I4210151200"]}]},{"author_position":"last","author":{"id":null,"display_name":"Patrice Kiener","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092427","display_name":"Institut de Recherche et de Documentation en \u00c9conomie de la Sant\u00e9","ror":"https://ror.org/003k26w86","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210092427"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Patrice Kiener","raw_affiliation_strings":["InModelia Paris, France"],"affiliations":[{"raw_affiliation_string":"InModelia Paris, France","institution_ids":["https://openalex.org/I4210092427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I70900168"],"apc_list":null,"apc_paid":null,"fwci":0.8103,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.72289885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"141","last_page":"146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12080","display_name":"Injection Molding Process and Properties","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12080","display_name":"Injection Molding Process and Properties","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10188","display_name":"Advanced machining processes and optimization","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.965399980545044,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/artificial-neural-network","display_name":"Artificial neural network","score":0.7383999824523926},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6141999959945679},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5753999948501587},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5066999793052673},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4977000057697296},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4966999888420105},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.47859999537467957},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.41260001063346863}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7383999824523926},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6141999959945679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5950000286102295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5839999914169312},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5753999948501587},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5066999793052673},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4977000057697296},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4966999888420105},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.47859999537467957},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.41260001063346863},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39980000257492065},{"id":"https://openalex.org/C67558686","wikidata":"https://www.wikidata.org/wiki/Q1770806","display_name":"Molding (decorative)","level":2,"score":0.39579999446868896},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3686000108718872},{"id":"https://openalex.org/C2776537626","wikidata":"https://www.wikidata.org/wiki/Q4047883","display_name":"Long-term prediction","level":2,"score":0.36340001225471497},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.3531000018119812},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.2930000126361847},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.28780001401901245},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.27219998836517334}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/civemsa.2017.7995316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa.2017.7995316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1804.04899","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1804.04899","pdf_url":"https://arxiv.org/pdf/1804.04899","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:HAL:hal-01552111v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01552111","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://civemsa2017.ieee-ims.org","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1804.04899","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1804.04899","pdf_url":"https://arxiv.org/pdf/1804.04899","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1677182931","https://openalex.org/W1678356000","https://openalex.org/W1930624869","https://openalex.org/W1968529528","https://openalex.org/W2044465660","https://openalex.org/W2064675550","https://openalex.org/W2070493638","https://openalex.org/W2112796928","https://openalex.org/W2135046866","https://openalex.org/W2143668817","https://openalex.org/W2165558283","https://openalex.org/W2168130065","https://openalex.org/W2270470215","https://openalex.org/W2342662179","https://openalex.org/W2541525838","https://openalex.org/W2550242669","https://openalex.org/W2766736793","https://openalex.org/W2911964244","https://openalex.org/W4212883601","https://openalex.org/W4252944252","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6634328444","https://openalex.org/W6637568146","https://openalex.org/W6639204139","https://openalex.org/W6678557583","https://openalex.org/W6682889407","https://openalex.org/W6686207219","https://openalex.org/W6713134421","https://openalex.org/W6731404320"],"related_works":[],"abstract_inverted_index":{"Injection":[0],"molded":[1],"part":[2,18],"quality":[3,23,48],"can":[4],"be":[5],"improved":[6],"by":[7],"precise":[8],"process":[9,39],"adjustment,":[10],"which":[11],"could":[12],"rely":[13,42],"on":[14,43,73,97,108],"in-situ":[15],"measurements":[16],"of":[17,46,55],"quality.":[19],"Geometrical":[20],"and":[21,25,85,100],"appearance":[22],"(visually":[24],"sensory)":[26],"requirements":[27],"are":[28],"increasing.":[29],"However,":[30],"direct":[31],"measurement":[32],"is":[33],"often":[34],"not":[35],"feasible":[36],"industrially.":[37],"Therefore,":[38],"control":[40],"must":[41],"a":[44],"prediction":[45,53],"parts":[47],"attributes.":[49],"This":[50],"study":[51],"compares":[52],"performances":[54],"diverse":[56],"neural":[57,116],"networks":[58,105,117],"architectures":[59],"with":[60],"\u201cclassical\u201d":[61],"regression":[62,124],"algorithms.":[63,125],"Dataset":[64],"comes":[65],"from":[66,79],"inline":[67],"industrial":[68],"measurements.":[69],"Regression":[70],"was":[71,114],"performed":[72],"97":[74],"scalar":[75],"statistical":[76],"features":[77,89],"extracted":[78],"multiple":[80],"acquisitions":[81],"sources:":[82],"thermographic":[83,98],"images":[84,99],"analog":[86],"signals.":[87,110],"Haralick":[88],"were":[90,95,106],"extracted.":[91],"Convolutional":[92],"Neural":[93],"Networks":[94],"trained":[96,107],"Long":[101],"Short":[102],"Term":[103],"Memory":[104],"raw":[109],"Although":[111],"the":[112],"dataset":[113],"small,":[115],"show":[118],"better":[119],"predictions":[120],"scores":[121],"than":[122],"other":[123]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2017-08-08T00:00:00"}