Electronic Nose and Its Applications: A Survey
文献类型：期刊论文
| 作者 | Diclehan Karakaya; Oguzhan Ulucan; Mehmet Turkan |
| 刊名 | International Journal of Automation and Computing
 |
| 出版日期 | 2020 |
| 卷号 | 17期号:2页码:179-209 |
| 关键词 | Artificial intelligence machine learning pattern recognition electronic nose (EN) sensors technology. |
| ISSN号 | 1476-8186 |
| DOI | 10.1007/s11633-019-1212-9 |
| 英文摘要 | 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. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/42296]  |
| 专题 | 自动化研究所_学术期刊_International Journal of Automation and Computing |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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