{"id":"https://openalex.org/W4396807514","doi":"https://doi.org/10.1017/s0890060424000064","title":"Hybrid machine learning approach for accurate and expeditious 3D scanning to enhance rapid prototyping reliability in orthotics using RSM-RSMOGA-MOGANN","display_name":"Hybrid machine learning approach for accurate and expeditious 3D scanning to enhance rapid prototyping reliability in orthotics using RSM-RSMOGA-MOGANN","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396807514","doi":"https://doi.org/10.1017/s0890060424000064"},"language":"en","primary_location":{"id":"doi:10.1017/s0890060424000064","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0890060424000064","pdf_url":null,"source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","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/A5079160436","display_name":"Ashwani Kumar","orcid":"https://orcid.org/0000-0001-5030-1811"},"institutions":[{"id":"https://openalex.org/I905734797","display_name":"Maharshi Dayanand University","ror":"https://ror.org/03kaab451","country_code":"IN","type":"education","lineage":["https://openalex.org/I905734797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ashwani Kumar","raw_affiliation_strings":["Department of Mechanical Engineering, University Institute of Engineering and Technology, Maharshi Dayanand University, Rohtak 124001, Haryana, India"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University Institute of Engineering and Technology, Maharshi Dayanand University, Rohtak 124001, Haryana, India","institution_ids":["https://openalex.org/I905734797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002494544","display_name":"Deepak Chhabra","orcid":"https://orcid.org/0000-0002-3738-0153"},"institutions":[{"id":"https://openalex.org/I905734797","display_name":"Maharshi Dayanand University","ror":"https://ror.org/03kaab451","country_code":"IN","type":"education","lineage":["https://openalex.org/I905734797"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Deepak Chhabra","raw_affiliation_strings":["Department of Mechanical Engineering, University Institute of Engineering and Technology, Maharshi Dayanand University, Rohtak 124001, Haryana, India"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University Institute of Engineering and Technology, Maharshi Dayanand University, Rohtak 124001, Haryana, India","institution_ids":["https://openalex.org/I905734797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002494544"],"corresponding_institution_ids":["https://openalex.org/I905734797"],"apc_list":null,"apc_paid":null,"fwci":0.5646,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61849009,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"38","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T12482","display_name":"Tunneling and Rock Mechanics","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/orthotics","display_name":"Orthotics","score":0.8312678933143616},{"id":"https://openalex.org/keywords/rapid-prototyping","display_name":"Rapid prototyping","score":0.6893713474273682},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6729608178138733},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5634136199951172},{"id":"https://openalex.org/keywords/virtual-prototyping","display_name":"Virtual prototyping","score":0.46188706159591675},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.33945801854133606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3242255747318268},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.21891289949417114},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15936172008514404},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.14756223559379578},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.12494760751724243}],"concepts":[{"id":"https://openalex.org/C2776462017","wikidata":"https://www.wikidata.org/wiki/Q59744853","display_name":"Orthotics","level":2,"score":0.8312678933143616},{"id":"https://openalex.org/C2780395129","wikidata":"https://www.wikidata.org/wiki/Q1128971","display_name":"Rapid prototyping","level":2,"score":0.6893713474273682},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6729608178138733},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5634136199951172},{"id":"https://openalex.org/C2780991453","wikidata":"https://www.wikidata.org/wiki/Q3408177","display_name":"Virtual prototyping","level":2,"score":0.46188706159591675},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33945801854133606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3242255747318268},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.21891289949417114},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15936172008514404},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.14756223559379578},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.12494760751724243},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1017/s0890060424000064","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0890060424000064","pdf_url":null,"source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1598849000","https://openalex.org/W1600198782","https://openalex.org/W1985555687","https://openalex.org/W1993457928","https://openalex.org/W1996214957","https://openalex.org/W2026851553","https://openalex.org/W2038210852","https://openalex.org/W2059356753","https://openalex.org/W2133953228","https://openalex.org/W2418453408","https://openalex.org/W2728987138","https://openalex.org/W2752052027","https://openalex.org/W2807446818","https://openalex.org/W2892931461","https://openalex.org/W2896777610","https://openalex.org/W2957477461","https://openalex.org/W2968552905","https://openalex.org/W2999169420","https://openalex.org/W3014917288","https://openalex.org/W3035215415","https://openalex.org/W3056805453","https://openalex.org/W3111033855","https://openalex.org/W3119209424","https://openalex.org/W3196154537","https://openalex.org/W3198378518","https://openalex.org/W4290634786","https://openalex.org/W4294991502","https://openalex.org/W4296365683","https://openalex.org/W4366152438","https://openalex.org/W6635757956"],"related_works":["https://openalex.org/W650135019","https://openalex.org/W4213045518","https://openalex.org/W4244501687","https://openalex.org/W4233254785","https://openalex.org/W1986194842","https://openalex.org/W2235264741","https://openalex.org/W1966923918","https://openalex.org/W2907349713","https://openalex.org/W2016877068","https://openalex.org/W2152989729"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"study":[2],"aims":[3],"to":[4,14,41,178],"develop":[5],"a":[6,50,194,234],"multidisciplinary":[7],"artificial":[8],"hybrid":[9,142],"machine":[10],"learning":[11],"(AHML)":[12],"approach":[13,38,153],"reduce":[15],"the":[16,21,26,43,90,96,100,141,156,162,206,210,220,226],"scanning":[17,30,82,204],"time":[18],"(ST)":[19],"of":[20,28,166,198,205,222,229],"human":[22,44,207],"wrist":[23,45,97,110,208],"and":[24,81,128,172,188],"improve":[25],"accuracy":[27,94],"3D":[29,54,203],"for":[31,64,88,109,147,225],"anthropometric":[32],"data":[33],"collection.":[34],"A":[35,56],"systematic":[36],"AHML":[37,115,216],"was":[39,62,103],"deployed":[40],"scan":[42],"distal":[46,101],"end":[47,102],"optimally":[48],"using":[49,105],"portable":[51],"SENSE":[52],"2.0":[53],"scanner.":[55],"central":[57],"composite":[58],"design":[59],"(CCD)":[60],"matrix":[61],"developed":[63,118],"three":[65],"input":[66],"variables;":[67],"light":[68],"intensity":[69],"(LI":[70],"=":[71,79,85,169,174,180,186,190],"12\u201320":[72],"W/m":[73,182],"2":[74,183],"),":[75],"capture":[76],"angle":[77],"(CA":[78],"10\u00b0\u201350\u00b0),":[80],"distance":[83],"(SD":[84],"10\u201320":[86],"inches)":[87],"executing":[89],"experimental":[91],"runs.":[92],"For":[93],"evaluation,":[95],"perimeter":[98,111],"on":[99],"checked":[104],"CREO":[106],"Parametric":[107],"software":[108],"error":[112],"(WPE).":[113],"Various":[114],"tools":[116,143,217],"were":[117,144],"using:":[119],"response":[120],"surface":[121],"methodology":[122],"(RSM),":[123],"multi-objective":[124,129],"genetic":[125,130],"algorithm":[126,131,159],"RSM,":[127],"neural":[132],"networking":[133],"(MOGANN).":[134],"The":[135,151],"optimal":[136,167],"process":[137,212],"parameters":[138,213],"recommended":[139],"by":[140,215],"experimentally":[145],"validated":[146],"their":[148],"prediction":[149],"accuracy.":[150],"MOGANN":[152],"combined":[154],"with":[155,193],"Bayesian":[157],"regularization":[158],"(trainabr)":[160],"provided":[161],"best":[163],"mutual":[164],"combination":[165],"ST":[168],"20.072":[170],"sec":[171],"WPE":[173],"0.375":[175],"cm":[176],"corresponding":[177],"LI":[179],"12.001":[181],",":[184],"CA":[185],"29.428\u00b0,":[187],"SD":[189],"18.214":[191],"inch,":[192],"significant":[195],"percentage":[196],"reduction":[197],"55.83%":[199],"in":[200,233],"WPE.":[201],"Executing":[202],"over":[209],"optimized":[211],"predicted":[214],"will":[218],"ensure":[219],"availability":[221],"precise":[223],"scans":[224],"rapid":[227],"prototyping":[228],"customized":[230],"orthotic":[231],"devices":[232],"reliable":[235],"manner.":[236]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
