“…Electronic noses appear to be promising candidates for selectivity enhancement, thanks to elaborated “fingerprint” patterns produced by a group of robust features that are unique for each gas and concentration studied [ 24 , 25 , 26 , 27 , 28 , 29 , 30 ]. By combining manifold features and applying machine learning (ML) techniques, it is possible to identify and differentiate between gases of interest, i.e., to enhance selectivity [ 31 , 32 , 33 , 34 , 35 ].…”