Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/980
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKarakaya, Diclehan-
dc.contributor.authorUlucan, Oguzhan-
dc.contributor.authorTurkan, Mehmet-
dc.date.accessioned2023-06-16T12:48:13Z-
dc.date.available2023-06-16T12:48:13Z-
dc.date.issued2020-
dc.identifier.issn1476-8186-
dc.identifier.issn1751-8520-
dc.identifier.urihttps://doi.org/10.1007/s11633-019-1212-9-
dc.identifier.urihttps://hdl.handle.net/20.500.14365/980-
dc.description.abstractIn the last two decades, improvements in materials, sensors and machine learning technologies have led to a rapid extension of electronic nose (EN) related research topics with diverse applications. The food and beverage industry, agriculture and forestry, medicine and health-care, indoor and outdoor monitoring, military and civilian security systems are the leading fields which take great advantage from the rapidity, stability, portability and compactness of ENs. Although the EN technology provides numerous benefits, further enhancements in both hardware and software components are necessary for utilizing ENs in practice. This paper provides an extensive survey of the EN technology and its wide range of application fields, through a comprehensive analysis of algorithms proposed in the literature, while exploiting related domains with possible future suggestions for this research topic.en_US
dc.language.isoenen_US
dc.publisherSpringernatureen_US
dc.relation.ispartofInternatıonal Journal of Automatıon And Computıngen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArtificial intelligenceen_US
dc.subjectmachine learningen_US
dc.subjectpattern recognitionen_US
dc.subjectelectronic nose (EN)en_US
dc.subjectsensors technologyen_US
dc.subjectQuartz-Crystal-Microbalanceen_US
dc.subjectArtificial Neural-Networksen_US
dc.subjectPartial Least-Squaresen_US
dc.subjectGas Sensor Arraysen_US
dc.subjectBioelectronic Noseen_US
dc.subjectMycobacterium-Tuberculosisen_US
dc.subjectOlfactory Systemen_US
dc.subjectRoasting Degreeen_US
dc.subjectLearning-Methoden_US
dc.subjectQuality-Controlen_US
dc.titleElectronic Nose and Its Applications: A Surveyen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s11633-019-1212-9-
dc.identifier.scopus2-s2.0-85077159793en_US
dc.departmentİzmir Ekonomi Üniversitesien_US
dc.authoridTurkan, Mehmet/0000-0002-9780-9249-
dc.authoridUlucan, Oguzhan/0000-0003-2077-9691-
dc.authoridUlucan, Oguzhan/0000-0003-2077-9691-
dc.authoridKarakaya, Diclehan/0000-0002-7059-302X-
dc.authorwosidKarakaya, Diclehan/AAU-5155-2021-
dc.authorwosidTurkan, Mehmet/AGQ-8084-2022-
dc.authorwosidUlucan, Oguzhan/AAU-5143-2021-
dc.authorwosidUlucan, Oguzhan/AAY-8794-2020-
dc.authorscopusid57212583921-
dc.authorscopusid57212583565-
dc.authorscopusid14069326000-
dc.identifier.volume17en_US
dc.identifier.issue2en_US
dc.identifier.startpage179en_US
dc.identifier.endpage209en_US
dc.identifier.wosWOS:000504621400001en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityN/A-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.fulltextWith Fulltext-
item.languageiso639-1en-
crisitem.author.dept05.06. Electrical and Electronics Engineering-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Files in This Item:
File SizeFormat 
4322.pdf1.02 MBAdobe PDFView/Open
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

250
checked on Sep 25, 2024

WEB OF SCIENCETM
Citations

188
checked on Sep 25, 2024

Page view(s)

62
checked on Sep 30, 2024

Download(s)

28
checked on Sep 30, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.