Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/980
Title: Electronic Nose and Its Applications: A Survey
Authors: Karakaya, Diclehan
Ulucan, Oguzhan
Turkan, Mehmet
Keywords: Artificial intelligence
machine learning
pattern recognition
electronic nose (EN)
sensors technology
Quartz-Crystal-Microbalance
Artificial Neural-Networks
Partial Least-Squares
Gas Sensor Arrays
Bioelectronic Nose
Mycobacterium-Tuberculosis
Olfactory System
Roasting Degree
Learning-Method
Quality-Control
Publisher: Springernature
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.
URI: https://doi.org/10.1007/s11633-019-1212-9
https://hdl.handle.net/20.500.14365/980
ISSN: 1476-8186
1751-8520
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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