Electronic Nose and Its Applications: A Survey

doi:10.1007/s11633-019-1212-9

CASIA OpenIR > 学术期刊 > Machine Intelligence Research

	Electronic Nose and Its Applications: A Survey
	Diclehan Karakaya; Oguzhan Ulucan; Mehmet Turkan
发表期刊	International Journal of Automation and Computing
ISSN	1476-8186
	2020
卷号	17 期号:2 页码:179-209
摘要	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.
关键词	Artificial intelligence machine learning pattern recognition electronic nose (EN) sensors technology.
DOI	10.1007/s11633-019-1212-9
引用统计	被引频次：165[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/42296
专题	学术期刊_Machine Intelligence Research
作者单位	Department of Electrical and Electronics Engineering, Izmir University of Economics, Izmir 35330, Turkey
推荐引用方式 GB/T 7714	Diclehan Karakaya,Oguzhan Ulucan,Mehmet Turkan. Electronic Nose and Its Applications: A Survey[J]. International Journal of Automation and Computing,2020,17(2):179-209.
APA	Diclehan Karakaya,Oguzhan Ulucan,&Mehmet Turkan.(2020).Electronic Nose and Its Applications: A Survey.International Journal of Automation and Computing,17(2),179-209.
MLA	Diclehan Karakaya,et al."Electronic Nose and Its Applications: A Survey".International Journal of Automation and Computing 17.2(2020):179-209.

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