Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14365/980
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Karakaya, Diclehan | - |
dc.contributor.author | Ulucan, Oguzhan | - |
dc.contributor.author | Turkan, Mehmet | - |
dc.date.accessioned | 2023-06-16T12:48:13Z | - |
dc.date.available | 2023-06-16T12:48:13Z | - |
dc.date.issued | 2020 | - |
dc.identifier.issn | 1476-8186 | - |
dc.identifier.issn | 1751-8520 | - |
dc.identifier.uri | https://doi.org/10.1007/s11633-019-1212-9 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14365/980 | - |
dc.description.abstract | In 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.iso | en | en_US |
dc.publisher | Springernature | en_US |
dc.relation.ispartof | Internatıonal Journal of Automatıon And Computıng | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Artificial intelligence | en_US |
dc.subject | machine learning | en_US |
dc.subject | pattern recognition | en_US |
dc.subject | electronic nose (EN) | en_US |
dc.subject | sensors technology | en_US |
dc.subject | Quartz-Crystal-Microbalance | en_US |
dc.subject | Artificial Neural-Networks | en_US |
dc.subject | Partial Least-Squares | en_US |
dc.subject | Gas Sensor Arrays | en_US |
dc.subject | Bioelectronic Nose | en_US |
dc.subject | Mycobacterium-Tuberculosis | en_US |
dc.subject | Olfactory System | en_US |
dc.subject | Roasting Degree | en_US |
dc.subject | Learning-Method | en_US |
dc.subject | Quality-Control | en_US |
dc.title | Electronic Nose and Its Applications: A Survey | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1007/s11633-019-1212-9 | - |
dc.identifier.scopus | 2-s2.0-85077159793 | en_US |
dc.department | İzmir Ekonomi Üniversitesi | en_US |
dc.authorid | Turkan, Mehmet/0000-0002-9780-9249 | - |
dc.authorid | Ulucan, Oguzhan/0000-0003-2077-9691 | - |
dc.authorid | Ulucan, Oguzhan/0000-0003-2077-9691 | - |
dc.authorid | Karakaya, Diclehan/0000-0002-7059-302X | - |
dc.authorwosid | Karakaya, Diclehan/AAU-5155-2021 | - |
dc.authorwosid | Turkan, Mehmet/AGQ-8084-2022 | - |
dc.authorwosid | Ulucan, Oguzhan/AAU-5143-2021 | - |
dc.authorwosid | Ulucan, Oguzhan/AAY-8794-2020 | - |
dc.authorscopusid | 57212583921 | - |
dc.authorscopusid | 57212583565 | - |
dc.authorscopusid | 14069326000 | - |
dc.identifier.volume | 17 | en_US |
dc.identifier.issue | 2 | en_US |
dc.identifier.startpage | 179 | en_US |
dc.identifier.endpage | 209 | en_US |
dc.identifier.wos | WOS:000504621400001 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | N/A | - |
item.grantfulltext | open | - |
item.openairetype | Article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 05.06. Electrical and Electronics Engineering | - |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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