The data set consists of exemplary results of the product of voltage noise power spectral density S(f) multiplied by frequency f and normalized to squared DC voltage U^2 recorded in the graphene back-gated Field Effect Transistor under UV light assistance (275 nm) in the selected ambient atmospheres (Figure 3) and the results of gas detection by SVM algorithm: 1) chloroform (Figure 5), 2) acetonitrile (Figure 6), and predicted gas concentrations using various number of frequency bins (Figure 7, Figure 8).

 

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[1] Janusz Smulko, "Fluctuation-enhanced sensing of organic solvent vapors mixture by machine learning", IEEE Dataport, 2025. [Online]. Available: http://dx.doi.org/10.21227/g5w9-9a40. Accessed: Mar. 27, 2025.
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doi = {10.21227/g5w9-9a40},
url = {http://dx.doi.org/10.21227/g5w9-9a40},
author = {Janusz Smulko },
publisher = {IEEE Dataport},
title = {Fluctuation-enhanced sensing of organic solvent vapors mixture by machine learning},
year = {2025} }
TY - DATA
T1 - Fluctuation-enhanced sensing of organic solvent vapors mixture by machine learning
AU - Janusz Smulko
PY - 2025
PB - IEEE Dataport
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Janusz Smulko. (2025). Fluctuation-enhanced sensing of organic solvent vapors mixture by machine learning. IEEE Dataport. http://dx.doi.org/10.21227/g5w9-9a40
Janusz Smulko, 2025. Fluctuation-enhanced sensing of organic solvent vapors mixture by machine learning. Available at: http://dx.doi.org/10.21227/g5w9-9a40.
Janusz Smulko. (2025). "Fluctuation-enhanced sensing of organic solvent vapors mixture by machine learning." Web.
1. Janusz Smulko. Fluctuation-enhanced sensing of organic solvent vapors mixture by machine learning [Internet]. IEEE Dataport; 2025. Available from : http://dx.doi.org/10.21227/g5w9-9a40
Janusz Smulko. "Fluctuation-enhanced sensing of organic solvent vapors mixture by machine learning." doi: 10.21227/g5w9-9a40