{"id":"https://openalex.org/W2283798455","doi":"https://doi.org/10.1007/978-3-319-07173-2_53","title":"Failures Prediction in the Cold Forging Process Using Machine Learning Methods","display_name":"Failures Prediction in the Cold Forging Process Using Machine Learning Methods","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2283798455","doi":"https://doi.org/10.1007/978-3-319-07173-2_53","mag":"2283798455"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-07173-2_53","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-07173-2_53","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5053560552","display_name":"Tomasz \u017babi\u0144ski","orcid":"https://orcid.org/0000-0002-3241-5871"},"institutions":[{"id":"https://openalex.org/I111664937","display_name":"Rzesz\u00f3w University of Technology","ror":"https://ror.org/056xse072","country_code":"PL","type":"education","lineage":["https://openalex.org/I111664937"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Tomasz \u017babi\u0144ski","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, Rzesz\u00f3w University of Technology, 35-959, Rzesz\u00f3w, Powsta\u0144c\u00f3w Warszawy 12, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, Rzesz\u00f3w University of Technology, 35-959, Rzesz\u00f3w, Powsta\u0144c\u00f3w Warszawy 12, Poland","institution_ids":["https://openalex.org/I111664937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086497839","display_name":"Tomasz M\u0105czka","orcid":null},"institutions":[{"id":"https://openalex.org/I111664937","display_name":"Rzesz\u00f3w University of Technology","ror":"https://ror.org/056xse072","country_code":"PL","type":"education","lineage":["https://openalex.org/I111664937"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Tomasz M\u0105czka","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, Rzesz\u00f3w University of Technology, 35-959, Rzesz\u00f3w, Powsta\u0144c\u00f3w Warszawy 12, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, Rzesz\u00f3w University of Technology, 35-959, Rzesz\u00f3w, Powsta\u0144c\u00f3w Warszawy 12, Poland","institution_ids":["https://openalex.org/I111664937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044210107","display_name":"Jacek Kluska","orcid":"https://orcid.org/0000-0002-7317-7734"},"institutions":[{"id":"https://openalex.org/I111664937","display_name":"Rzesz\u00f3w University of Technology","ror":"https://ror.org/056xse072","country_code":"PL","type":"education","lineage":["https://openalex.org/I111664937"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jacek Kluska","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, Rzesz\u00f3w University of Technology, 35-959, Rzesz\u00f3w, Powsta\u0144c\u00f3w Warszawy 12, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, Rzesz\u00f3w University of Technology, 35-959, Rzesz\u00f3w, Powsta\u0144c\u00f3w Warszawy 12, Poland","institution_ids":["https://openalex.org/I111664937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022224423","display_name":"Maciej Kusy","orcid":"https://orcid.org/0000-0001-5419-1111"},"institutions":[{"id":"https://openalex.org/I111664937","display_name":"Rzesz\u00f3w University of Technology","ror":"https://ror.org/056xse072","country_code":"PL","type":"education","lineage":["https://openalex.org/I111664937"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Maciej Kusy","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, Rzesz\u00f3w University of Technology, 35-959, Rzesz\u00f3w, Powsta\u0144c\u00f3w Warszawy 12, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, Rzesz\u00f3w University of Technology, 35-959, Rzesz\u00f3w, Powsta\u0144c\u00f3w Warszawy 12, Poland","institution_ids":["https://openalex.org/I111664937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040199805","display_name":"Z. Hajduk","orcid":"https://orcid.org/0000-0002-1375-7219"},"institutions":[{"id":"https://openalex.org/I111664937","display_name":"Rzesz\u00f3w University of Technology","ror":"https://ror.org/056xse072","country_code":"PL","type":"education","lineage":["https://openalex.org/I111664937"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Zbigniew Hajduk","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, Rzesz\u00f3w University of Technology, 35-959, Rzesz\u00f3w, Powsta\u0144c\u00f3w Warszawy 12, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, Rzesz\u00f3w University of Technology, 35-959, Rzesz\u00f3w, Powsta\u0144c\u00f3w Warszawy 12, Poland","institution_ids":["https://openalex.org/I111664937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082085569","display_name":"S\u0142awomir Prucnal","orcid":"https://orcid.org/0000-0002-4088-6032"},"institutions":[{"id":"https://openalex.org/I111664937","display_name":"Rzesz\u00f3w University of Technology","ror":"https://ror.org/056xse072","country_code":"PL","type":"education","lineage":["https://openalex.org/I111664937"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"S\u0142awomir Prucnal","raw_affiliation_strings":["Faculty of Mechanical Engineering and Aeronautics, Rzesz\u00f3w University of Technology, 35-959, Rzesz\u00f3w, Powsta\u0144c\u00f3w Warszawy 12, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering and Aeronautics, Rzesz\u00f3w University of Technology, 35-959, Rzesz\u00f3w, Powsta\u0144c\u00f3w Warszawy 12, Poland","institution_ids":["https://openalex.org/I111664937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5053560552"],"corresponding_institution_ids":["https://openalex.org/I111664937"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.0312,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.85830736,"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":"622","last_page":"633"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11201","display_name":"Metallurgy and Material Forming","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T11201","display_name":"Metallurgy and Material Forming","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9878000020980835,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.6716699600219727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6222885251045227},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5693277716636658},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5649434328079224},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5442330241203308},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.539527952671051},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5213576555252075},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5077129602432251},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5058038234710693},{"id":"https://openalex.org/keywords/probabilistic-neural-network","display_name":"Probabilistic neural network","score":0.5012948513031006},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4811233580112457},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.47139742970466614},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.45869630575180054},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4309149980545044},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3697565793991089},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.34722450375556946},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.08378517627716064}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6716699600219727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6222885251045227},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5693277716636658},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5649434328079224},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5442330241203308},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.539527952671051},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5213576555252075},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5077129602432251},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5058038234710693},{"id":"https://openalex.org/C134342201","wikidata":"https://www.wikidata.org/wiki/Q7246859","display_name":"Probabilistic neural network","level":4,"score":0.5012948513031006},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4811233580112457},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.47139742970466614},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.45869630575180054},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4309149980545044},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3697565793991089},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.34722450375556946},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.08378517627716064},{"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/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-07173-2_53","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-07173-2_53","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5600000023841858},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W580786182","https://openalex.org/W1529641222","https://openalex.org/W1594031697","https://openalex.org/W1964168965","https://openalex.org/W1974072631","https://openalex.org/W1977556410","https://openalex.org/W2001619934","https://openalex.org/W2006183345","https://openalex.org/W2029949252","https://openalex.org/W2142827986","https://openalex.org/W2156909104","https://openalex.org/W2161920802","https://openalex.org/W2199067456","https://openalex.org/W2250162530","https://openalex.org/W3085162807","https://openalex.org/W3207342693","https://openalex.org/W4236654676","https://openalex.org/W4297957988","https://openalex.org/W4300402905"],"related_works":["https://openalex.org/W4224922629","https://openalex.org/W2076543106","https://openalex.org/W2994772185","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W4387048144","https://openalex.org/W2492135063"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}