{"id":"https://openalex.org/W2974858490","doi":"https://doi.org/10.1109/access.2019.2941473","title":"An Electronic Nose Natural Neural Learning Model in Real Work Environment","display_name":"An Electronic Nose Natural Neural Learning Model in Real Work Environment","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2974858490","doi":"https://doi.org/10.1109/access.2019.2941473","mag":"2974858490"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2941473","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2941473","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08839108.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/8600701/08839108.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056085779","display_name":"Slimane Ouhmad","orcid":"https://orcid.org/0000-0002-4707-3616"},"institutions":[{"id":"https://openalex.org/I4210145365","display_name":"Universit\u00e9 Hassan 1er","ror":"https://ror.org/03cdvht47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210145365"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Slimane Ouhmad","raw_affiliation_strings":["LAVETE Laboratory, FST, Universit\u00e9 Hassan-Ier, Settat, Morocco"],"affiliations":[{"raw_affiliation_string":"LAVETE Laboratory, FST, Universit\u00e9 Hassan-Ier, Settat, Morocco","institution_ids":["https://openalex.org/I4210145365"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001534531","display_name":"Khalid El Makkaoui","orcid":"https://orcid.org/0000-0002-9569-9162"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khalid El Makkaoui","raw_affiliation_strings":["Team of Modeling and Scientific Computing, FP, Mohammed Premier University, Nador, Morocco"],"affiliations":[{"raw_affiliation_string":"Team of Modeling and Scientific Computing, FP, Mohammed Premier University, Nador, Morocco","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001300162","display_name":"Abderrahim Beni\u2010Hssane","orcid":"https://orcid.org/0000-0001-8040-1741"},"institutions":[{"id":"https://openalex.org/I4210125507","display_name":"Chouaib Doukkali University","ror":"https://ror.org/036kgyt43","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210125507"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Abderrahim Beni-Hssane","raw_affiliation_strings":["LAROSERI Laboratory, FS, Universit\u00e9 Choua\u00efb Doukkali, El Jadida, Morocco"],"affiliations":[{"raw_affiliation_string":"LAROSERI Laboratory, FS, Universit\u00e9 Choua\u00efb Doukkali, El Jadida, Morocco","institution_ids":["https://openalex.org/I4210125507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083630974","display_name":"Abdelmajid Hajami","orcid":"https://orcid.org/0000-0003-4507-4268"},"institutions":[{"id":"https://openalex.org/I4210145365","display_name":"Universit\u00e9 Hassan 1er","ror":"https://ror.org/03cdvht47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210145365"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Abdelmajid Hajami","raw_affiliation_strings":["LAVETE Laboratory, FST, Universit\u00e9 Hassan-Ier, Settat, Morocco"],"affiliations":[{"raw_affiliation_string":"LAVETE Laboratory, FST, Universit\u00e9 Hassan-Ier, Settat, Morocco","institution_ids":["https://openalex.org/I4210145365"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011832565","display_name":"Abdellah Ezzati","orcid":"https://orcid.org/0000-0002-1456-0661"},"institutions":[{"id":"https://openalex.org/I4210145365","display_name":"Universit\u00e9 Hassan 1er","ror":"https://ror.org/03cdvht47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210145365"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Abdellah Ezzati","raw_affiliation_strings":["LAVETE Laboratory, FST, Universit\u00e9 Hassan-Ier, Settat, Morocco"],"affiliations":[{"raw_affiliation_string":"LAVETE Laboratory, FST, Universit\u00e9 Hassan-Ier, Settat, Morocco","institution_ids":["https://openalex.org/I4210145365"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5056085779"],"corresponding_institution_ids":["https://openalex.org/I4210145365"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6847,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.67784101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"134871","last_page":"134880"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":1.0,"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":1.0,"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"}},{"id":"https://openalex.org/T12321","display_name":"Insect Pheromone Research and Control","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10461","display_name":"Gas Sensing Nanomaterials and Sensors","score":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.74275803565979},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.6681862473487854},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.664106011390686},{"id":"https://openalex.org/keywords/electronic-nose","display_name":"Electronic nose","score":0.6279832720756531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6027756333351135},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5891432762145996},{"id":"https://openalex.org/keywords/odor","display_name":"Odor","score":0.5349351763725281},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5239113569259644},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.45289862155914307},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4439893066883087},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4366616904735565},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4350167214870453},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4159639775753021},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11640861630439758}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.74275803565979},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.6681862473487854},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.664106011390686},{"id":"https://openalex.org/C23895516","wikidata":"https://www.wikidata.org/wiki/Q550092","display_name":"Electronic nose","level":2,"score":0.6279832720756531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6027756333351135},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5891432762145996},{"id":"https://openalex.org/C2778916471","wikidata":"https://www.wikidata.org/wiki/Q485537","display_name":"Odor","level":2,"score":0.5349351763725281},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5239113569259644},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.45289862155914307},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4439893066883087},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4366616904735565},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4350167214870453},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4159639775753021},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11640861630439758},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2941473","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2941473","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08839108.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:64ccbd5175794784b54897a7b15ca6d9","is_oa":true,"landing_page_url":"https://doaj.org/article/64ccbd5175794784b54897a7b15ca6d9","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 7, Pp 134871-134880 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2941473","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2941473","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08839108.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2974858490.pdf","grobid_xml":"https://content.openalex.org/works/W2974858490.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1997376297","https://openalex.org/W2016494343","https://openalex.org/W2054600343","https://openalex.org/W2090563685","https://openalex.org/W2103496339","https://openalex.org/W2138110629","https://openalex.org/W2139452320","https://openalex.org/W2145962596","https://openalex.org/W2160208155","https://openalex.org/W2165363188","https://openalex.org/W2165748925","https://openalex.org/W2293159783","https://openalex.org/W2346081479","https://openalex.org/W2529311920","https://openalex.org/W2538756378","https://openalex.org/W2570200703","https://openalex.org/W2574178313","https://openalex.org/W2594484782","https://openalex.org/W2757433926","https://openalex.org/W2789836044","https://openalex.org/W2793626802","https://openalex.org/W2798238643","https://openalex.org/W2808507525","https://openalex.org/W2810586242","https://openalex.org/W2885275342","https://openalex.org/W2892188669","https://openalex.org/W2896632991","https://openalex.org/W2911460570","https://openalex.org/W2911677424","https://openalex.org/W2911831197","https://openalex.org/W2917008732","https://openalex.org/W2918036233","https://openalex.org/W4300402905"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2056596841","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2349581046","https://openalex.org/W2085677935","https://openalex.org/W2047454415","https://openalex.org/W2070040999"],"abstract_inverted_index":{"The":[0,65,99],"natural":[1,34,56,136],"identification":[2],"of":[3,73,113],"an":[4],"odor,":[5],"smelled":[6],"once,":[7],"highlights":[8],"a":[9,33,55,61],"new":[10],"idea":[11],"on":[12],"the":[13,25,30,70,103,109,114,131,154],"artificial":[14],"intelligence":[15],"for":[16,47,123],"electronic":[17],"noses":[18],"to":[19,41,53,87,144,151],"mimic":[20],"as":[21,23],"close":[22],"possible":[24],"biological":[26],"olfactory":[27],"system.":[28],"For":[29],"first":[31],"time,":[32],"on-line":[35],"training":[36],"with":[37],"only":[38,120],"one":[39],"sample,":[40],"extract":[42],"both":[43],"eigen-weights":[44],"and":[45,96],"eigen-bias,":[46],"each":[48],"odor":[49],"is":[50,140],"built":[51],"herein":[52],"elaborate":[54],"identifier":[57,137],"neural":[58,75],"model":[59,67,89,105,138],"in":[60,130,147,158],"real":[62],"work":[63],"environment.":[64],"proposed":[66],"efficiently":[68],"reduces":[69],"maximum":[71],"extent":[72],"traditional":[74],"models":[76],"complexities,":[77],"namely":[78],"generic":[79],"work-laboratory,":[80],"dimensional":[81],"data":[82,116,118],"learning":[83],"(typically":[84],"from":[85,126],"60":[86],"80%),":[88],"adaptability":[90],"complication,":[91],"time-consuming,":[92],"heavy":[93],"experiment":[94],"materials":[95],"chemical":[97],"products.":[98],"outcomes":[100],"show":[101],"that":[102],"invented":[104],"identifies":[106],"correctly":[107],"100%":[108],"three":[110,121],"hazardous":[111],"contaminants":[112],"test":[115],"(all":[117],"minus":[119],"samples":[122],"learning)":[124],"processed":[125],"gas":[127],"sensors":[128],"weakened":[129],"harshest":[132],"conditions.":[133],"Therewith,":[134],"this":[135],"methodology":[139],"elaborated":[141],"easily":[142],"enough":[143],"be":[145],"efficient":[146],"different":[148],"environments":[149],"conditions":[150],"accurately":[152],"control":[153],"air":[155],"quality":[156],"safety":[157],"any":[159],"local":[160],"area.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
