reviewACS SensorsMar 11, 2025Closed access

Artificial Intelligence in Gas Sensing: A Review

Rensselaer Polytechnic Institute

PubMed
Indexed incrossrefpubmed

Abstract

The role of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in enhancing and automating gas sensing methods and the implications of these technologies for emergent gas sensor systems is reviewed. Applications of AI-based intelligent gas sensors include environmental monitoring, industrial safety, remote sensing, and medical diagnostics. AI, ML, and DL methods can process and interpret complex sensor data, allowing for improved accuracy, sensitivity, and selectivity, enabling rapid gas detection and quantitative concentration measurements based on sophisticated multiband, multispecies sensor systems. These methods can discern subtle patterns in sensor signals, allowing sensors to…

Citation impact

80
total citations
FWCI
41.84
Percentile
100%
References
203
Citations per year

Authors

2

Topics & keywords

Keywords
  • Environmental science
  • Computer science
  • Biochemical engineering
  • Nanotechnology
  • Data science
  • Materials science
  • Engineering
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