{"id":"https://openalex.org/W2318261854","doi":"https://doi.org/10.1108/ijicc-08-2015-0029","title":"Detection of natural structures and classification of HCI-HPR data using robust forward search algorithm","display_name":"Detection of natural structures and classification of HCI-HPR data using robust forward search algorithm","publication_year":2016,"publication_date":"2016-03-09","ids":{"openalex":"https://openalex.org/W2318261854","doi":"https://doi.org/10.1108/ijicc-08-2015-0029","mag":"2318261854"},"language":"en","primary_location":{"id":"doi:10.1108/ijicc-08-2015-0029","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijicc-08-2015-0029","pdf_url":null,"source":{"id":"https://openalex.org/S124503262","display_name":"International Journal of Intelligent Computing and Cybernetics","issn_l":"1756-378X","issn":["1756-378X","1756-3798"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Computing and Cybernetics","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/A5045083285","display_name":"Fatima Isiaka","orcid":null},"institutions":[{"id":"https://openalex.org/I71422933","display_name":"Sheffield Hallam University","ror":"https://ror.org/019wt1929","country_code":"GB","type":"education","lineage":["https://openalex.org/I71422933"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Fatima Isiaka","raw_affiliation_strings":["Department of Computing, Sheffield Hallam University, Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Sheffield Hallam University, Sheffield, UK","institution_ids":["https://openalex.org/I71422933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052137169","display_name":"Kassim Mwitondi","orcid":"https://orcid.org/0000-0003-1134-547X"},"institutions":[{"id":"https://openalex.org/I71422933","display_name":"Sheffield Hallam University","ror":"https://ror.org/019wt1929","country_code":"GB","type":"education","lineage":["https://openalex.org/I71422933"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kassim S Mwitondi","raw_affiliation_strings":["Department of Computing, Sheffield Hallam University, Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Sheffield Hallam University, Sheffield, UK","institution_ids":["https://openalex.org/I71422933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062561953","display_name":"Adamu M. Ibrahim","orcid":null},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Adamu M Ibrahim","raw_affiliation_strings":["Department of Computing, University of Leeds, Leeds, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computing, University of Leeds, Leeds, UK","institution_ids":["https://openalex.org/I130828816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045083285"],"corresponding_institution_ids":["https://openalex.org/I71422933"],"apc_list":null,"apc_paid":null,"fwci":0.3662,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66310012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9","issue":"1","first_page":"23","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9675999879837036,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9675999879837036,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9531000256538391,"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":0.9373999834060669,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7674325704574585},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7340751886367798},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.6304003000259399},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.574128270149231},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.540128767490387},{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.4336966276168823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3682328462600708},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3242005407810211},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31549084186553955}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7674325704574585},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7340751886367798},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6304003000259399},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.574128270149231},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.540128767490387},{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.4336966276168823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3682328462600708},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3242005407810211},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31549084186553955}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1108/ijicc-08-2015-0029","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijicc-08-2015-0029","pdf_url":null,"source":{"id":"https://openalex.org/S124503262","display_name":"International Journal of Intelligent Computing and Cybernetics","issn_l":"1756-378X","issn":["1756-378X","1756-3798"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Computing and Cybernetics","raw_type":"journal-article"},{"id":"pmh:oai:shura.shu.ac.uk:13117","is_oa":false,"landing_page_url":"https://shura.shu.ac.uk/13117/1/Isiaka%20shura%2013117.png","pdf_url":null,"source":{"id":"https://openalex.org/S4306401600","display_name":"SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71422933","host_organization_name":"Sheffield Hallam University","host_organization_lineage":["https://openalex.org/I71422933"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1978980572","https://openalex.org/W1982289080","https://openalex.org/W2008332864","https://openalex.org/W2017264794","https://openalex.org/W2036077279","https://openalex.org/W2040875076","https://openalex.org/W2089468765","https://openalex.org/W2092453742","https://openalex.org/W2105477144","https://openalex.org/W2108523583","https://openalex.org/W2108972993","https://openalex.org/W2152108304","https://openalex.org/W2184455302","https://openalex.org/W2314625044","https://openalex.org/W2775118832","https://openalex.org/W2797583072","https://openalex.org/W2905472553","https://openalex.org/W4243048569","https://openalex.org/W6605301148"],"related_works":["https://openalex.org/W4382795578","https://openalex.org/W2355463328","https://openalex.org/W2402648945","https://openalex.org/W2053213469","https://openalex.org/W939486154","https://openalex.org/W1431147547","https://openalex.org/W2055761197","https://openalex.org/W4386482528","https://openalex.org/W3182289794","https://openalex.org/W2122407924"],"abstract_inverted_index":{"Purpose":[0],"\u2013":[1,32,109,134,193,210],"The":[2,33,46,67,194,211,247],"purpose":[3],"of":[4,123,136,139,150,184,198,220,241,255,261],"this":[5,215],"paper":[6,34],"is":[7,145,155,217,253],"to":[8,40,56,82,101,170,214,250],"proposes":[9],"a":[10,238],"forward":[11,114,142],"search":[12,115,143],"algorithm":[13,50,144,252],"for":[14,51,152,161,222],"detecting":[15,52],"and":[16,25,42,99,103,128,232,259],"identifying":[17],"natural":[18,58],"structures":[19],"arising":[20],"in":[21,44,54,60,86,126],"human-computer":[22],"interaction":[23],"(HCI)":[24],"human":[26],"physiological":[27,127],"response":[28],"(HPR)":[29],"data.":[30,66,107,131],"Design/methodology/approach":[31],"portrays":[35],"aspects":[36],"that":[37,112,120,146],"are":[38,71,121,176],"essential":[39],"modelling":[41],"precision":[43],"detection.":[45],"methods":[47],"involves":[48],"developed":[49],"outliers":[53,221],"data":[55,62,70,77,174,223,242],"recognise":[57],"patterns":[59],"incessant":[61],"such":[63],"as":[64],"HCI-HPR":[65],"detected":[68],"categorical":[69],"simultaneously":[72],"labelled":[73],"based":[74,93,225],"on":[75,79,94,226,230],"the":[76,105,113,137,140,148,158,173,181,185,189,199,218,227,251,262],"reliance":[78],"parametric":[80],"rules":[81],"predictive":[83],"models":[84],"used":[85,100],"classification":[87],"algorithms.":[88],"Data":[89],"were":[90],"also":[91,236],"simulated":[92],"multivariate":[95],"normal":[96],"distribution":[97],"method":[98,116,216],"compare":[102],"validate":[104],"original":[106],"Findings":[108],"Results":[110],"shows":[111],"provides":[117],"robust":[118,141],"features":[119],"capable":[122],"repelling":[124],"over-fitting":[125],"eye":[129],"movement":[130],"Research":[132],"limitations/implications":[133],"One":[135],"limitations":[138],"when":[147],"number":[149],"digits":[151],"residuals":[153],"value":[154],"more":[156,256],"than":[157],"expected":[159],"size":[160,240],"stack":[162],"flow,":[163],"it":[164],"normally":[165,177],"yields":[166],"an":[167],"error":[168],"caution;":[169],"counter":[171],"this,":[172],"sets":[175,224],"standardized":[178],"by":[179],"taking":[180],"logarithmic":[182],"function":[183],"model":[186],"before":[187],"running":[188],"algorithm.":[190],"Practical":[191],"implications":[192],"authors":[195],"conducted":[196],"some":[197],"experiments":[200],"at":[201],"individual":[202],"residence":[203],"which":[204],"may":[205],"affect":[206],"environmental":[207],"constraints.":[208],"Originality/value":[209],"novel":[212],"approach":[213],"detection":[219],"Mahalanobis":[228],"distances":[229],"HCI":[231],"HPR.":[233],"And":[234],"can":[235],"involve":[237],"large":[239],"with":[243],"p":[244],"possible":[245],"parameters.":[246],"improvement":[248],"made":[249],"application":[254],"graphical":[257],"display":[258],"rendering":[260],"residual":[263],"plot.":[264]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
