scholarly journals Stable Odor Recognition by a neuro-adaptive Electronic Nose

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Eugenio Martinelli ◽  
Gabriele Magna ◽  
Davide Polese ◽  
Alexander Vergara ◽  
Detlev Schild ◽  
...  
Author(s):  
Saifur Rahman ◽  
Abdullah S. Alwadie ◽  
S. Hasan Saeed ◽  
Faizan A. Khan

Electronic nose systems are used to deliver a pattern response to a listed odor, and pattern recognition software is used to perform odor recognition and discrimination by using a series of sensors. The method of electronic noses generally includes time taking measurements in a non-standard test and error process. The sensory panel problem can be solved by electronic nose. For this purpose, a sensor model is used to design sensor array. The generated signal of these sensor array is used further to classify a mixture of two gases using principle component analysis (PCA)-based classification analysis. During classification, the efficiency of PCA classification has been checked over the different signal preprocessing technique. Continuous real monitoring of odor is done at specific sites in the field over hours, days, weeks, or even months. An electronic machine can also avoid many other troubles linked with the employ of human panels. Each and every variability, adaptation (becoming minimum sensitive during extended exposure), and revelation to hazardous compounds all come to mind.


2020 ◽  
Vol 158 (6) ◽  
pp. S-1249
Author(s):  
Yuri Hanada ◽  
Juan Reyes Genere ◽  
Bryan Linn ◽  
Tiffany Mangels-Dick ◽  
Kenneth K. Wang

2009 ◽  
Author(s):  
Kristen E. Konkel ◽  
Jason S. Nomi ◽  
Anne M. Cleary

2000 ◽  
Vol 28 (3-4) ◽  
pp. 481-485 ◽  
Author(s):  
Alessandro Mantini ◽  
Corrado Di Natale ◽  
Antonella Macagnano ◽  
Roberto Paolesse ◽  
Alessandro Finazzi-Agro ◽  
...  

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