logo
Loading...
Data-centric artificial olfactory system based on the eigengraph

Engineering and Technology

Data-centric artificial olfactory system based on the eigengraph

S. Sung, J. M. Suh, et al.

Explore an innovative data-centric artificial olfactory system inspired by human senses, developed by authors Seung-Hyun Sung, Jun Min Suh, Yun Ji Hwang, Ho Won Jang, Jeon Gue Park, and Seong Chan Jun. This research leverages olfactory receptor-like sensor arrays to enhance gas classification using advanced deep learning techniques, showcasing significant advancements in artificial olfaction technology.... show more
Citation Metrics
Citations
47
Influential Citations
0
Reference Count
77
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Related Publications

Explore these studies to deepen your understanding of the subject.

Not-for-profit or for-profit? Research on the high-quality development path of private universities in China based on system dynamics
Education

Not-for-profit or for-profit? Research on the high-quality development path of private universities in China based on system dynamics

S. Duan, H. Yang, et al.

The government intervention effects on panic buying behavior based on online comment data mining: a case study of COVID-19 in Hubei Province, China
Business

The government intervention effects on panic buying behavior based on online comment data mining: a case study of COVID-19 in Hubei Province, China

T. Chen, Y. Jin, et al.

Mining the impact of social media information on public green consumption attitudes: a framework based on ELM and text data mining
Business

Mining the impact of social media information on public green consumption attitudes: a framework based on ELM and text data mining

J. Fan, L. Peng, et al.

The impact of intergenerational support on multidimensional poverty in old age: empirical analysis based on 2018 CLHLS data
Social Work

The impact of intergenerational support on multidimensional poverty in old age: empirical analysis based on 2018 CLHLS data

H. Tan, Z. Dong, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 22+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny