Machine-intelligent inkjet-printed α-Fe2O3/rGO towards NO2 quantification in ambient humidity

标题
Machine-intelligent inkjet-printed α-Fe2O3/rGO towards NO2 quantification in ambient humidity
作者
关键词
Inkjet on CMOS, Temperature modulation, Machine learning, Cluster analysis, Principal component analysis, Factor analysis, Electronic nose
出版物
SENSORS AND ACTUATORS B-CHEMICAL
Volume 321, Issue -, Pages 128446
出版商
Elsevier BV
发表日期
2020-06-24
DOI
10.1016/j.snb.2020.128446

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started