Impact of linear dimensionality reduction methods on the performance of anomaly detection algorithms in hyperspectral images

Anomaly Detection (AD) has recently become an important application of hyperspectral images analysis.The goal of these algorithms is to find the objects in the image scene which are anomalous in comparison to their surrounding background.One way to improve the performance and runtime of these algorithms is to use Dimensionality Reduction (DR) techn

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Experimental Determination of the Static Equivalent Pressures of Detonative Explosions of Cyclohexane/O2/N2-Mixtures in Long and Short Pipes (part 1of 3)

In the past 5 years the Safety Engineering Group of BASF had determined the static equivalent pressures (pstata) of the eight detonative pressure scenarios which explosive gas mixtures can exhibit in long and in short pipes.More precisely, for different combustibles the pstat-values of the corresponding ternary mixtures combustible/O2/N2 were deter

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The future of food allergy diagnosis

Food allergy represents an increasing global health issue, significantly impacting society on a personal and on a systems-wide level.The gold standard for diagnosing food allergy, the oral food challenge, is time-consuming, expensive, and carries risks of allergic reactions, with unpredictable severity.There is, therefore, an urgent need for more a

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