{"id":"https://openalex.org/W4382999115","doi":"https://doi.org/10.1109/access.2023.3291451","title":"Optimization of the Electronic Nose Sensor Array for Asthma Detection Based on Genetic Algorithm","display_name":"Optimization of the Electronic Nose Sensor Array for Asthma Detection Based on Genetic Algorithm","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4382999115","doi":"https://doi.org/10.1109/access.2023.3291451"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3291451","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3291451","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10171377.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10171377.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060477224","display_name":"Dava Aulia","orcid":"https://orcid.org/0009-0000-5628-0505"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Dava Aulia","raw_affiliation_strings":["Department of Informatics, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo-Surabaya, Surabaya, Indonesia"],"raw_orcid":"https://orcid.org/0009-0000-5628-0505","affiliations":[{"raw_affiliation_string":"Department of Informatics, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo-Surabaya, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000266116","display_name":"Riyanarto Sarno","orcid":"https://orcid.org/0000-0001-5373-660X"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Riyanarto Sarno","raw_affiliation_strings":["Department of Informatics, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo-Surabaya, Surabaya, Indonesia"],"raw_orcid":"https://orcid.org/0000-0001-5373-660X","affiliations":[{"raw_affiliation_string":"Department of Informatics, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo-Surabaya, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078436932","display_name":"Shintami Chusnul Hidayati","orcid":null},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Shintami Chusnul Hidayati","raw_affiliation_strings":["Department of Informatics, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo-Surabaya, Surabaya, Indonesia"],"raw_orcid":"https://orcid.org/0000-0001-5045-4842","affiliations":[{"raw_affiliation_string":"Department of Informatics, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo-Surabaya, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008600046","display_name":"Muhammad Rivai","orcid":"https://orcid.org/0000-0002-3615-1658"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Muhammad Rivai","raw_affiliation_strings":["Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo-Surabaya, Surabaya, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-3615-1658","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo-Surabaya, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I166843116"],"apc_list":{"value":2075,"currency":"USD","value_usd":2075},"apc_paid":{"value":2075,"currency":"USD","value_usd":2075},"fwci":3.23,"has_fulltext":true,"cited_by_count":40,"citation_normalized_percentile":{"value":0.93041558,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"11","issue":null,"first_page":"74924","last_page":"74935"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/electronic-nose","display_name":"Electronic nose","score":0.6692733764648438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6439378261566162},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5264117121696472},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3797570466995239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30483877658843994},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12015792727470398}],"concepts":[{"id":"https://openalex.org/C23895516","wikidata":"https://www.wikidata.org/wiki/Q550092","display_name":"Electronic nose","level":2,"score":0.6692733764648438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6439378261566162},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5264117121696472},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3797570466995239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30483877658843994},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12015792727470398}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3291451","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3291451","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10171377.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d98642cddd0440dabe2a24c93ef254e9","is_oa":true,"landing_page_url":"https://doaj.org/article/d98642cddd0440dabe2a24c93ef254e9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 74924-74935 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3291451","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3291451","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10171377.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6000000238418579}],"awards":[],"funders":[{"id":"https://openalex.org/F4320325143","display_name":"Universitas Airlangga","ror":"https://ror.org/04ctejd88"},{"id":"https://openalex.org/F4320327937","display_name":"Institut Teknologi Sepuluh Nopember","ror":"https://ror.org/05kbmmt89"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4382999115.pdf","grobid_xml":"https://content.openalex.org/works/W4382999115.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W2601807195","https://openalex.org/W2785580667","https://openalex.org/W2802554342","https://openalex.org/W2906189622","https://openalex.org/W2913138152","https://openalex.org/W2953771450","https://openalex.org/W3016986506","https://openalex.org/W3036499333","https://openalex.org/W3039320222","https://openalex.org/W3045794674","https://openalex.org/W3088162569","https://openalex.org/W3110728127","https://openalex.org/W3110770815","https://openalex.org/W3112618944","https://openalex.org/W3127179929","https://openalex.org/W3128629820","https://openalex.org/W3130019085","https://openalex.org/W3160463872","https://openalex.org/W3181132140","https://openalex.org/W3201485379","https://openalex.org/W3216512839","https://openalex.org/W4200000646","https://openalex.org/W4200474548","https://openalex.org/W4205134841","https://openalex.org/W4205495647","https://openalex.org/W4205505707","https://openalex.org/W4206030306","https://openalex.org/W4206179901","https://openalex.org/W4206350967","https://openalex.org/W4210730500","https://openalex.org/W4285282247","https://openalex.org/W4285802751","https://openalex.org/W4289912894","https://openalex.org/W4319317096","https://openalex.org/W4321230297","https://openalex.org/W4324150346"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2056596841","https://openalex.org/W2349581046","https://openalex.org/W2080410076","https://openalex.org/W2912293709","https://openalex.org/W1596740836","https://openalex.org/W2536125181","https://openalex.org/W1982974357"],"abstract_inverted_index":{"The":[0,39,197],"human":[1],"body":[2],"releases":[3],"several":[4],"types":[5,60],"of":[6,22,48,61,113,243,247,251,256],"gases":[7],"and":[8,55,89,99,120,175,253],"volatile":[9],"organic":[10],"compounds":[11],"through":[12,92,123],"exhaled":[13,125,220],"breath.":[14,126],"This":[15,101],"compound":[16],"can":[17,30,85],"be":[18],"used":[19,183],"as":[20,188,232],"markers":[21],"lung":[23],"disease,":[24],"including":[25,144],"asthma.":[26],"An":[27],"electronic":[28,141,185],"nose":[29,142,186],"play":[31],"a":[32,36,76,214,233,245,249],"role":[33],"in":[34,57,79,116],"determining":[35],"patient\u2019s":[37],"condition.":[38],"main":[40,94],"problem":[41],"that":[42,84,201,212],"often":[43],"occurs":[44],"is":[45],"the":[46,110,195,202,219,223,227,237],"selection":[47,82],"appropriate":[49],"sensors":[50,115,211],"based":[51],"on":[52,194,218],"their":[53],"characteristics":[54],"performance":[56],"detecting":[58],"various":[59],"gas":[62,114,134,210],"to":[63,104,108,137,207],"provide":[64],"an":[65,124,139,241,254],"optimal":[66,111],"system":[67],"while":[68],"still":[69],"providing":[70],"high":[71],"accuracy.":[72],"Genetic":[73],"algorithms":[74],"have":[75],"good":[77],"advantage":[78],"applying":[80],"feature":[81],"problems":[83,91],"effectively":[86],"solve":[87],"noise":[88],"collinearity":[90],"three":[93],"genetic":[95,203],"operators:":[96],"crossover,":[97],"mutation,":[98],"selection.":[100],"study":[102],"aims":[103],"apply":[105],"this":[106],"method":[107,235],"determine":[109],"number":[112],"identifying":[117],"healthy":[118],"people":[119],"asthma":[121,224,238],"suspects":[122],"Several":[127],"classification":[128,191,234],"methods":[129,192],"are":[130,181],"combined":[131],"with":[132,240],"selected":[133],"sensor":[135,216],"arrays":[136],"obtain":[138],"optimized":[140],"system,":[143],"support":[145],"vector":[146],"machine":[147],"(SVM),":[148],"random":[149],"forest":[150],"(RF),":[151],"extreme":[152],"gradient":[153],"boosting":[154],"(XGBoost),":[155],"artificial":[156],"neural":[157,162],"network":[158,163],"(ANN),":[159],"one-dimensional":[160],"convolutional":[161],"(1D-CNN),":[164],"long":[165],"short-term":[166],"memory":[167],"(LSTM),":[168],"gated":[169],"recurrent":[170],"unit":[171],"(GRU),":[172],"1D":[173,176],"CNN-LSTM,":[174],"CNN-GRU.":[177],"These":[178],"machine-learning":[179],"approaches":[180],"usually":[182],"for":[184,236],"systems":[187],"highly":[189],"accurate":[190],"depending":[193],"parameters.":[196],"experimental":[198],"results":[199],"showed":[200],"algorithm":[204],"was":[205,230],"able":[206],"produce":[208],"five":[209],"provided":[213],"certain":[215],"pattern":[217],"breath":[221],"from":[222],"suspects.":[225],"Meanwhile,":[226],"1D-CNN":[228],"model":[229],"chosen":[231],"dataset":[239],"accuracy":[242],"96.6%,":[244],"precision":[246],"96.1%,":[248],"recall":[250],"95.5%,":[252],"F1-score":[255],"95.6%.":[257]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":20}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
