Titlebook: Artificial Intelligence and Soft Computing; 18th International C Leszek Rutkowski,Rafał Scherer,Jacek M. Zurada Conference proceedings 2019

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Human Cognitive State Classification Through Ambulatory EEG Signal Analysis. It motivates to build estimator for revealing the human cognitive behaviours for different environments. In this work, we present an operational human cognitive behaviour detection system based on ambulatory EEG signal analysis. A novel event driven environment is created using external stimuli to

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极大痛苦

Juliane Meyerhoff,Christoph Brühlixel to compute the feature vector values. This method is not very robust to handle image noise, variances and different illumination conditions. We address these issues by proposing a novel descriptor which considers more pixels and different neighbourhoods to compute the feature vector values. The

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Juliane Meyerhoff,Christoph Brühl takes into consideration larger neighbourhoods of the central pixel. The main novelty is that this descriptor allows using varying shapes of the neighbourhood instead of just one point. This property ensures better robustness and gives the opportunity to fine-tune the descriptor for a given task. W

最低点

Wie Sozialformen variiert werden könnenminimize the tragic consequences of falling asleep at the wheel, solutions were developed that allow early detection of fatigue symptoms. The article presents a system for the detection of symptoms of driver fatigue, based on an analysis of an image recorded by a camera. Two symptoms, that is slow b

CRUC

https://doi.org/10.1007/978-3-322-91268-8 Such a procedure makes shares not only looking random but simply being random in the statistical sense. Of course there is a price to pay in the form of slightly deteriorated quality of the reconstructed secret. In this paper we try to find a reasonable compromise between the randomness of shares a

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Horst E. von Renouard BA, MIL, BDÜsystem for the automatic preparation of cytostatics. The idea consists in rotating the vessel, stopping it, and analysing a sequence of images while the particles in the solution are still moving. We proposed 30 descriptors of the variability of statistical properties of image noise. We used PCA for

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