3 papers
cond-mat.mtrl-sci2024
A Temporal Filter to Extract Doped Conducting Polymer Information Features from an Electronic Nose
Wiem Haj Ammar, Aicha Boujnah, Antoine Baron +4
Identifying relevant machine-learning features for multi-sensing platforms is both an applicative limitation to recognize environments and a necessity to interpret the physical rel…
cond-mat.soft2023
Steady vs. Dynamic Contributions of Different Doped Conducting Polymers in the Principal Components of an Electronic Nose's Response
Wiem Haj Ammar, Aicha Boujnah, Aimen Boubaker +3
Multivariate data analysis and machine-learning classification become popular tools to extract features without physical models for complex environments recognition. For electronic…
physics.app-ph2021
Mildly-Doped Polythiophene with Triflates for Molecular Recognition
Aicha Boujnah, Aimen Boubaker, Adel Kalboussi +2
Organic semiconductors have enough molecular versatility to feature chemo-specific electrical sensitivity to large families of chemical substituents via different intermolecular bo…