scholarly journals Implementation of simple statistical pattern recognition methods for harmful gases classification using gas sensor array fabricated by MEMS technology

2008 ◽  
Vol 17 (6) ◽  
pp. 406-413
Author(s):  
Hyung-Gi Byun ◽  
Jeong-Suk Shin ◽  
Ho-Jun Lee ◽  
Won-Bae Lee
Keyword(s):  
Pattern Recognition ◽  
Gas Sensor ◽  
Sensor Array ◽  
Statistical Pattern Recognition ◽  
Pattern Recognition Methods ◽  
Gas Sensor Array ◽  
Statistical Pattern ◽  
Mems Technology

Versatile microcontrolled gas sensor array system using the quartz microbalance principle and pattern recognition methods

1995 ◽  
Vol 26 (1-3) ◽  
pp. 181-186 ◽  
Author(s):  
Jörg Auge ◽  
Peter Hauptmann ◽  
Jens Hartmann ◽  
Steffen Rösler ◽  
Ralf Lucklum
Keyword(s):  
Pattern Recognition ◽  
Gas Sensor ◽  
Sensor Array ◽  
Quartz Microbalance ◽  
Pattern Recognition Methods ◽  
Gas Sensor Array

Pattern Recognition of a Gas Sensor Array Using Impedance

2000 ◽  
Vol 37 (6) ◽  
pp. 862 ◽  
Author(s):  
Lee Yun-Su ◽  
Joo Byung-Su ◽  
Choi Nak-Jin ◽  
Kang Bong-Hwi ◽  
Lee Duk-Dong
Keyword(s):  
Pattern Recognition ◽  
Gas Sensor ◽  
Sensor Array ◽  
Gas Sensor Array

scholarly journals Evaluation of a gas sensor array and pattern recognition for the identification of bladder cancer from urine headspace

The Analyst ◽  
2011 ◽  
Vol 136 (2) ◽  
pp. 359-364 ◽  
Author(s):  
Christina M. Weber ◽  
Michael Cauchi ◽  
Mitesh Patel ◽  
Conrad Bessant ◽  
Claire Turner ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Bladder Cancer ◽  
Gas Sensor ◽  
Sensor Array ◽  
Gas Sensor Array

SWCNTs-based MEMS gas sensor array and its pattern recognition based on deep belief networks of gases detection in oil-immersed transformers

2020 ◽  
Vol 312 ◽  
pp. 127998 ◽  
Author(s):  
Sirui Tang ◽  
Weigen Chen ◽  
Lingfeng Jin ◽  
He Zhang ◽  
Yanqiong Li ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Gas Sensor ◽  
Sensor Array ◽  
Belief Networks ◽  
Deep Belief Networks ◽  
Gas Sensor Array

scholarly journals The factors affecting competitiveness of companies: contribution and limits of the statistical pattern recognition methods

2011 ◽  
Vol 59 (7) ◽  
pp. 69-80
Author(s):  
Ladislav Blažek ◽  
Pavel Pudil ◽  
Jiří Špalek
Keyword(s):  
Pattern Recognition ◽  
Statistical Pattern Recognition ◽  
Economic Success ◽  
Holding Companies ◽  
Factors Affecting ◽  
Pattern Recognition Methods ◽  
Statistical Pattern ◽  
Potential Factors ◽  
Limited Partnerships ◽  
Typical Configuration

The paper elaborates the methodical side of empirical research of factors influencing the economic success of companies. The analysis is based on the selective sample of more than 400 stock listed (share holding) companies and limited partnerships located in the Czech Republic. The main goal of the research is to verify, methodically and theoretically, the hypothesis that there is significant mutual dependency between certain types of economic success of companies and a certain typical configuration of values of selected characteristics which describe these companies. The paper concentrates on an analysis of applying the statistical pattern recognition methodology in the course of verifying this hypothesis. Our analysis confirms the potential gains connected with the method. Within the sample we identified group of potential factors of competitiveness which can characterize the interdependence between competitiveness and economic performance.

Sign in / Sign up

Export Citation Format

Share Document