Uneingeschränkter Zugang

Thin Film Coated QCM-Sensors and Pattern Recognition Methods for Discrimination of VOCs


Zitieren

H.T. Nagle, R. Gutierrez Osuna, S.S. Schiffman, “The how and why of electronic noses,” IEEE Spectrum 35 (1998) 22–31. Search in Google Scholar

Maria Jesus Fernandez, and al, “Discrimination of volatile compounds through an electronic nose based on ZnO SAW sensors,” Sensors and Actuators B 127 (2007) 277–283. Search in Google Scholar

A. Lay-ekuakille, A. Trotta, “predicting VOC Concentration measurements : cognitive approach for sensor networks,” IIIsensor journal 11 (2011) 3923-3030. Search in Google Scholar

Y.Yin, X.Tian “classification of chinese drinks by gas sensors array and combination of the PCA with wilks distribution,” Sensors and Actuators B 124 (2007) 393–397. Search in Google Scholar

Ali Gulbag, Fevzullah Temurtas, “A study on transient and steady state sensor data for identification of individual gas concentrations in their gas mixtures,” Sensors and Actuators B 121 (2007) 590–599. Search in Google Scholar

N. Guermat, A. Bellel, S. Sahli, Y. Segui, P. Raynaud, “Thin plasmapolymerized layers of hexamethyldisiloxane for humidity sensor development,” Thin Solid Films 517 (2009) 4455–4460 Search in Google Scholar

Bekir Mumyakmaz, Ahmet Ozmen, M. Ali Ebeoglu, Cihat Tasaltin, “predicting gas concentrations of ternary gas mixtures for predefined 3d sample space,” sensors and actuators B 128(2008) 594–602. Search in Google Scholar

Elnaz Barshan, Ali Ghodsi, Zohreh Azimifar, Mansoor Zolghadri Jahromi, “Supervised principal component analysis: Visualization, classification and regression on subspaces and submanifolds,” patter recognition 44 (2011) 1357-1371. Search in Google Scholar

X. Peng, X. Li, X. Shi, S. Guo, “evaluation of the aroma quality of chinese traditional soy paste during storage based on principal component analysis,” food chemistry 151 (2014) 532-538. Search in Google Scholar

F. Doymaz, J.A. Romagnoli, A. Palazoglu, “A strategy for detection and isolation of sensor failures and process upsets,” Chemomet. Intell. Lab. Syst. 55 (2001) 109–123. Search in Google Scholar

A.K. Srivastava, Vinayak P. Dravid, “On the performance evaluation of hybrid and mono class sensor arrays in selective detection of VOCs: A comparative study,” Sensors and Actuators B 117 (2006) 244–252. Search in Google Scholar

T. Alizadeh, S. Zeynali,”electronic nose based on the polymer coated saw sensors array for the warfare agent simulants classification,” Sensors and actuators B 129 (2008) 412-423. Search in Google Scholar

Li Han, Xiajing Shi, Wendy Wu, F. Louis Kirk, Jin Luo, Lingyan Wang, Derrick Mott, Lisa Cousineau, Stephanie I-Im Lim, Susan Lu, Chuan-Jian Zhong, “Nanoparticle-structured sensing array materials and pattern recognition for VOC detection,” Sensors and Actuators B 106 (2005) 431–441. Search in Google Scholar

Ali Gulbag, Feyzullah Temurtas, Ismihan Yusubov, “Quantitative discrimination of the binary gas mixtures using a combinational structure of the probabilistic and multilayer neural networks” sensors and actuators B 131 (2008) 196-204 Search in Google Scholar

Ali Gulbag, Fevzullah Temurtas, Cihat Tasaltin, Zafer Ziya Ozturk, “A study on radial basis function neural network size reduction for quantitative identification of individual gas concentrations in their gas mixtures,” sensors and actuators B124 (2007) 383-392. Search in Google Scholar

S. Sagiroglu, E. Besdok, M. Erler, “Control chart pattern recognition using artificial neural networks,” Turk. J. Electr. Eng. 8 (2000) 137–146. Search in Google Scholar

eISSN:
1178-5608
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
Volume Open
Fachgebiete der Zeitschrift:
Technik, Einführungen und Gesamtdarstellungen, andere