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Long Term Stability Of Metal Oxide-Based Gas Sensors For E-nose Environmental Applications: an overview

https://doi.org/10.1063/1.3156576
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/1099-128x(200009/12)14:5/6<711::aid-cem607>3.0.co;2-4openalex-snapshot
Drift correction for gas sensors using multivariate methods
inferredcites →https://doi.org/10.1016/j.snb.2007.12.005openalex-snapshot
Complementary approaches to measure environmental odours emitted by landfill areas
inferredcites →https://doi.org/10.1016/s0925-4005(02)00036-9openalex-snapshot
Three years experiment with the same tin oxide sensor arrays for the identification of malodorous sources in the environment
inferredcites →https://doi.org/10.1016/s0925-4005(97)80335-8openalex-snapshot
Drift counteraction in odour recognition applications: lifelong calibration method
inferredcites →https://doi.org/10.1016/s0925-4005(99)00375-5openalex-snapshot
Use of a simple tin oxide sensor array to identify five malodours collected in the field
inferredcites →https://doi.org/10.1039/b307905hopenalex-snapshot
The use of sensor arrays for environmental monitoring: interests and limitations

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Sensor Technologies: Healthcare, Wellness and Environmental Applications
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Environmental Monitoring for Health and Wellness
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A novel electronic nose learning technique based on active learning: EQBC-RBFNN
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Training technique of electronic nose using labeled and unlabeled samples based on multi-kernel LapSVM
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Prospects and Challenges of Volatile Organic Compound Sensors in Human Healthcare
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Influence of the aromatic surface on the capacity of adsorption of VOCs by magnetite supported organic–inorganic hybrids
inferred← citeshttps://doi.org/10.1108/sr-08-2025-0639openalex-snapshot
Machine learning-enhanced metal oxide gas sensor arrays: a review of selectivity and performance improvements
inferred← citeshttps://doi.org/10.1109/cstic.2018.8369324openalex-snapshot
A novel gas sensor signal drift adjustment method based on controlled measurement
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Compensating Altered Sensitivity of Duty-Cycled MOX Gas Sensors with Machine Learning
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Volatilomics: An emerging discipline within Omics Sciences - A systematic review
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Gas Sensor Array Drift in an E-Nose System: A Dataset for Machine Learning Applications
inferred← citeshttps://doi.org/10.17863/cam.105388openalex-snapshot
Real-time, noise and drift resilient formaldehyde sensing at room temperature with aerogel filaments
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Identification of H2 and Nh3 Gases Using Calorimetric Signals and Transient Response Through Machine Learning
inferred← citeshttps://doi.org/10.23860/diss-chu-yun-2013openalex-snapshot
SOLID STATE GAS SENSORS FOR DETECTION OF EXPLOSIVES AND EXPLOSIVE PRECURSORS
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Recent Advances in Volatile Organic Compound Analysis as Diagnostic Biomarkers
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Nanostructure Based Sensors for Gas Sensing: from Devices to Systems
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Recent Progress in Smart Electronic Nose Technologies Enabled with Machine Learning Methods
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Dynamic calibration of drifting sensor arrays for real-time monitoring
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