{"id":"https://openalex.org/W7131716491","doi":"https://doi.org/10.1007/s00521-025-11745-x","title":"Development of an ANN-based online surface roughness prediction (ANN-OSRP) system in wire electrical discharge machining processes","display_name":"Development of an ANN-based online surface roughness prediction (ANN-OSRP) system in wire electrical discharge machining processes","publication_year":2026,"publication_date":"2026-02-01","ids":{"openalex":"https://openalex.org/W7131716491","doi":"https://doi.org/10.1007/s00521-025-11745-x"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-025-11745-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-025-11745-x","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-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/A5126888614","display_name":"Joseph Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I24648388","display_name":"Bradley University","ror":"https://ror.org/04kmeaw70","country_code":"US","type":"education","lineage":["https://openalex.org/I24648388"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Joseph Chen","raw_affiliation_strings":["Department of Industrial and Manufacturing Engineering and Technology, Bradley University, Peoria, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Manufacturing Engineering and Technology, Bradley University, Peoria, USA","institution_ids":["https://openalex.org/I24648388"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120478072","display_name":"Maximiliano Agustin Gomez Montero","orcid":"https://orcid.org/0009-0008-0611-6561"},"institutions":[{"id":"https://openalex.org/I24648388","display_name":"Bradley University","ror":"https://ror.org/04kmeaw70","country_code":"US","type":"education","lineage":["https://openalex.org/I24648388"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maximiliano Agustin Gomez Montero","raw_affiliation_strings":["Department of Industrial and Manufacturing Engineering and Technology, Bradley University, Peoria, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Manufacturing Engineering and Technology, Bradley University, Peoria, USA","institution_ids":["https://openalex.org/I24648388"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108985065","display_name":"Sean Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I24648388","display_name":"Bradley University","ror":"https://ror.org/04kmeaw70","country_code":"US","type":"education","lineage":["https://openalex.org/I24648388"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sean Yu","raw_affiliation_strings":["Department of Industrial and Manufacturing Engineering and Technology, Bradley University, Peoria, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Manufacturing Engineering and Technology, Bradley University, Peoria, USA","institution_ids":["https://openalex.org/I24648388"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5126888614"],"corresponding_institution_ids":["https://openalex.org/I24648388"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.71698662,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11451","display_name":"Advanced Machining and Optimization Techniques","score":0.8281000256538391,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11451","display_name":"Advanced Machining and Optimization Techniques","score":0.8281000256538391,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.07029999792575836,"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/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.012799999676644802,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/surface-roughness","display_name":"Surface roughness","score":0.7430999875068665},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7135999798774719},{"id":"https://openalex.org/keywords/taguchi-methods","display_name":"Taguchi methods","score":0.6923999786376953},{"id":"https://openalex.org/keywords/electrical-discharge-machining","display_name":"Electrical discharge machining","score":0.6801000237464905},{"id":"https://openalex.org/keywords/machining","display_name":"Machining","score":0.6464999914169312},{"id":"https://openalex.org/keywords/orthogonal-array","display_name":"Orthogonal array","score":0.5059999823570251},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4810999929904938},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46209999918937683},{"id":"https://openalex.org/keywords/surface-finish","display_name":"Surface finish","score":0.4406000077724457},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.43149998784065247}],"concepts":[{"id":"https://openalex.org/C107365816","wikidata":"https://www.wikidata.org/wiki/Q114817","display_name":"Surface roughness","level":2,"score":0.7430999875068665},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7135999798774719},{"id":"https://openalex.org/C83469408","wikidata":"https://www.wikidata.org/wiki/Q2036525","display_name":"Taguchi methods","level":2,"score":0.6923999786376953},{"id":"https://openalex.org/C140075996","wikidata":"https://www.wikidata.org/wiki/Q577484","display_name":"Electrical discharge machining","level":3,"score":0.6801000237464905},{"id":"https://openalex.org/C523214423","wikidata":"https://www.wikidata.org/wiki/Q192047","display_name":"Machining","level":2,"score":0.6464999914169312},{"id":"https://openalex.org/C42632107","wikidata":"https://www.wikidata.org/wiki/Q2031860","display_name":"Orthogonal array","level":3,"score":0.5059999823570251},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4810999929904938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47279998660087585},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46209999918937683},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.45820000767707825},{"id":"https://openalex.org/C71039073","wikidata":"https://www.wikidata.org/wiki/Q3439090","display_name":"Surface finish","level":2,"score":0.4406000077724457},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.43149998784065247},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.4262999892234802},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.4172999858856201},{"id":"https://openalex.org/C34559072","wikidata":"https://www.wikidata.org/wiki/Q2334061","display_name":"Design of experiments","level":2,"score":0.3776000142097473},{"id":"https://openalex.org/C150077022","wikidata":"https://www.wikidata.org/wiki/Q3136137","display_name":"Response surface methodology","level":2,"score":0.37709999084472656},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.374099999666214},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.36980000138282776},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.3684000074863434},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.33970001339912415},{"id":"https://openalex.org/C46788351","wikidata":"https://www.wikidata.org/wiki/Q571379","display_name":"Wire speed","level":2,"score":0.33730000257492065},{"id":"https://openalex.org/C93228742","wikidata":"https://www.wikidata.org/wiki/Q7247312","display_name":"Process variable","level":3,"score":0.3287999927997589},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.32420000433921814},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.3174000084400177},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.29409998655319214},{"id":"https://openalex.org/C169150495","wikidata":"https://www.wikidata.org/wiki/Q7259675","display_name":"Pulse duration","level":3,"score":0.2818000018596649},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C175457265","wikidata":"https://www.wikidata.org/wiki/Q190247","display_name":"Numerical control","level":3,"score":0.275299996137619},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27070000767707825},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C128990827","wikidata":"https://www.wikidata.org/wiki/Q192830","display_name":"Coefficient of determination","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C89508514","wikidata":"https://www.wikidata.org/wiki/Q488071","display_name":"Electric discharge","level":3,"score":0.2623000144958496},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.25619998574256897},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.2529999911785126},{"id":"https://openalex.org/C2982819079","wikidata":"https://www.wikidata.org/wiki/Q1185136","display_name":"Peak current","level":4,"score":0.25200000405311584},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.2513999938964844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-025-11745-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-025-11745-x","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4259316921234131}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1972377010","https://openalex.org/W2008182930","https://openalex.org/W2029252418","https://openalex.org/W2044638870","https://openalex.org/W2081095648","https://openalex.org/W2519418385","https://openalex.org/W2793091365","https://openalex.org/W2896556344","https://openalex.org/W3036355123","https://openalex.org/W3118267591","https://openalex.org/W4200451168","https://openalex.org/W4320481331","https://openalex.org/W4391002016","https://openalex.org/W4395666134","https://openalex.org/W4395691525","https://openalex.org/W4410722033"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-02-27T06:22:10.598206","created_date":"2026-02-27T00:00:00"}
