- Titel:
Neural Network Robustness Analysis Using Sensor Simulations for a Graphene-Based Semiconductor Gas Sensor 2̆020
- Dokumenttyp:
- Zeitschriftenaufsatz
- Autor(en):
- Schober, Sebastian A. ; Bahri, Yosra ; Carbonelli, Cecilia ; Wille, Robert
- Stichworte:
- Article ; gas sensors ; graphene ; neural networks ; modeling ; algorithm robustness ; simulation ; model explainability ; sensor ageing ; sensor variations
- Zeitschriftentitel:
- Chemosensors
- Jahr:
- 2022
- Band / Volume:
- 10
- Heft / Issue:
- 5
- Volltext / DOI:
- doi:10.3390/chemosensors10050152
- Verlag / Institution:
- MDPI
- E-ISSN:
- 2227-9040
- Publikationsdatum:
- 21.04.2022
- CC-Lizenz:
- by, https://creativecommons.org/licenses/by/4.0
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- BibTeX