scholarly journals P2AR.3 - Virtual Gas Sensor Array by Cyclic Optical Activation: Optimization of Activation Profile by Machine Learning

2018 ◽  
Author(s):  
G. Njio ◽  
T. Wagner
Author(s):  
Tao Wang ◽  
Hongli Ma ◽  
Wenkai Jiang ◽  
Hexin Zhang ◽  
Min Zeng ◽  
...  

Microwave-assisted method has been developed to synthesize ZnO gas sensing nanomaterials with controllable hierarchical structures. Machine learning algorithms such as PCA, SVM, ELM, and BP further improve the selectivity and quantitation.


1991 ◽  
Vol 7 (Supple) ◽  
pp. 1565-1568 ◽  
Author(s):  
Yukio Hiranaka ◽  
Hiro Yamasaki

2021 ◽  
Author(s):  
Fajar IAIN Hardoyono ◽  
Kikin Windhani

This study aimed to identify four bioactive compounds in turmeric (Curcuma longa L.) using gas sensor array based on molecularly imprinted polymer-quartz crystal microbalance (MIP-QCM). Four QCM sensors coated with...


2008 ◽  
Vol 134 (2) ◽  
pp. 660-665 ◽  
Author(s):  
L. Francioso ◽  
A. Forleo ◽  
A.M. Taurino ◽  
P. Siciliano ◽  
L. Lorenzelli ◽  
...  

2018 ◽  
Vol 273 ◽  
pp. 1556-1563 ◽  
Author(s):  
Sangjun Park ◽  
Inug Yoon ◽  
Sungwoo Lee ◽  
Hyojung Kim ◽  
Ji-Won Seo ◽  
...  

2014 ◽  
Vol 494-495 ◽  
pp. 955-959 ◽  
Author(s):  
Wen Na Zhang ◽  
Guo Jun Qin ◽  
Niao Qing Hu

Data from sensor array are often arranged in three-dimension as sample × time × sensor. Traditional methods are mainly used for two-dimension data. When such methods are applied, some time-profile information will lost. To acquire the information of samples, sensors and times more exactly, parallel factor analysis (PARAFAC) is investigated to deal with three-way data array. Through the analysis and classification of three kinds of oil odor samples, the performance of PARAFAC in gas sensor array signal analysis is verified and validated.


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