ACS Sensors, Год журнала: 2025, Номер unknown
Опубликована: Март 11, 2025
The role of artificial intelligence (AI), machine learning (ML), and deep (DL) in enhancing automating gas sensing methods the implications these technologies for emergent sensor systems is reviewed. Applications AI-based intelligent sensors include environmental monitoring, industrial safety, remote sensing, medical diagnostics. AI, ML, DL can process interpret complex data, allowing improved accuracy, sensitivity, selectivity, enabling rapid detection quantitative concentration measurements based on sophisticated multiband, multispecies systems. These discern subtle patterns signals, to readily distinguish between gases with similar signatures, adaptable, cross-sensitive multigas under various conditions. Integrating AI technology represents a paradigm shift, achieve unprecedented performance, adaptability. This review describes while highlighting approaches AI–sensor integration.
Язык: Английский