Long term stability of metal oxide-based gas sensors for e-nose environmental applications: An overview
By A. Romain, J. Nicolas. 2009
329 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Insect Science
View Paper: https://www.semanticscholar.org/paper/38046cb692846dc42bc8a0664b64fbdb44623774
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In Biomedical Engineering
In Electrical and Electronic Engineering
In Insect Science
Citations in the corpus
- Signal and Data Processing for Machine Olfaction and Chemical Sensing: A Review (2012, methodology): “Similar approaches to univariate shift correction have been proposed by Romain and Nicolas [136] and Tomic et al.”
- Domain Adaptation Extreme Learning Machines for Drift Compensation in E-Nose Systems (2015, methodology): “Other recent methods used to cope with drift are given in [27]–[29].”
- Electronic Nose Feature Extraction Methods: A Review (2015, background): “…gases/vapours [1], which is playing an increasing role in general purpose detection of gases in many applications such as odor analysis [2–4], quality control of food industry [5–10], environment protection [11–13], public health [14–19], explosives detection [20] and spaceflight applications [21].”
- Photocatalytic Applications of Metal Oxides for Sustainable Environmental Remediation (2021, methodology): “The unique physical and chemical properties of metal oxide nanostructures lead to its use in a huge variety of applications including the removal of heavy metals, poisonous gas sensing, textile coating for wearable electronic devices, biomedical applications, and photocatalytic degradation of organi”