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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 3 of 3 1 Drift in a Popular Metal Oxide Sensor Dataset Reveals Limitations for Gas Classification Benchmarks Dennler, Nik; Rastogi, Shavika; Fonollosa, Jordi. - 2022 BASE Show details 2 Drift in a popular metal oxide sensor dataset reveals limitations for gas classification benchmarks Dennler, Nik; Rastogi, Shavika (S36339); Fonollosa, Jordi. - : Netherlands, Elsevier, 2022 BASE Show details 3 Drift in a Popular Metal Oxide Sensor Dataset Reveals Limitations for Gas Classification Benchmarks ... Dennler, Nik; Rastogi, Shavika; Fonollosa, Jordi; van Schaik, André; Schmuker, Michael. - : arXiv, 2021 Abstract: Metal oxide (MOx) electro-chemical gas sensors are a sensible choice for many applications, due to their tunable sensitivity, their space-efficiency and their low price. Publicly available sensor datasets streamline the development and evaluation of novel algorithm and circuit designs, making them particularly valuable for the Artificial Olfaction / Mobile Robot Olfaction community. In 2013, Vergara et al. published a dataset comprising 16 months of recordings from a large MOx gas sensor array in a wind tunnel, which has since become a standard benchmark in the field. Here we report a previously undetected property of the dataset that limits its suitability for gas classification studies. The analysis of individual measurement timestamps reveals that gases were recorded in temporally clustered batches. The consequential correlation between the sensor response before gas exposure and the time of recording is often sufficient to predict the gas used in a given trial. Even if compensated by ... : 12 pages, 3 figures ... Keyword: Data Analysis, Statistics and Probability physics.data-an; FOS Electrical engineering, electronic engineering, information engineering; FOS Physical sciences; Signal Processing eess.SP URL: https://dx.doi.org/10.48550/arxiv.2108.08793 https://arxiv.org/abs/2108.08793 BASE Hide details

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