A Mixture-Gas Edge-Computing Multisensor Device With Generative Learning Framework-Reference-Cited by-同舟云学术

A Mixture-Gas Edge-Computing Multisensor Device With Generative Learning Framework

Published:2024-05-01 Issue:9 Volume:24 Page:15023-15032
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Cho Jeonghoon¹^ORCID,Pyeon You Jang¹,Kwon Yeong Min²,Kim Yonggi¹^ORCID,Yeom Junyeong¹,Kim Myeong Woo³,Park Chan Sam⁴,Kim In-Ho⁵,Lee Yoonsik¹,Kim Jae Joon¹^ORCID

Affiliation:

1. Department of Electrical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea

2. Thin Film Materials Research Center, Korea Research Institute of Chemical Technology, Daejeon, South Korea

3. SK Hynix Inc., Icheon, South Korea

4. Samsung Electronics Device Solutions, Hwaseong, South Korea

5. Uantech, Ulsan, South Korea

Funder

Basic Science Research Program through the National Research Foundation of Korea

Ministry of Education

National R&D Program through the NRF

Ministry of Science and Information and Communication Technology

Technology Innovation Program

Ministry of Trade, Industry & Energy (MOTIE) and Korea Institute for Advancement of Technology

International Cooperative R&D program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10516472/10473680.pdf?arnumber=10473680

Reference31 articles.

1. Human health effects of air pollution

2. Chemoresistive Sensor Readout Circuit Design for Detecting Gases with Slow Response Time Characteristics

3. Toward innovations of gas sensor technology

4. High-performance and self-calibrating multi-gas sensor interface to trace multiple gas species with sub-ppm level

5. Semiconductor Gas Sensors: Dry Synthesis and Application