Titlebook: Computational Statistics and Mathematical Modeling Methods in Intelligent Systems; Proceedings of 3rd C Radek Silhavy,Petr Silhavy,Zdenka P

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Atrial Fibrillation for Stroke Detection, patient’s pulse regularly. Therefore, a real-time heart rate and rhythm monitoring device are presented in this paper. Experimental results show that the proposed device has achieved satisfactory performance in terms of user acceptance testing.

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An Adaptive Cognitive Temporal-Causal Model for Extreme Emotion Extinction Using Psilocybin,nents, cerebral cortex, and thalamus. Network-oriented modeling via temporal-causal network-oriented modeling is presented to show the influences of using psilocybin on the cognitive part of the body, same as the brain components. Hebbian learning used to show the adaptivity and learning section of the presented model.

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2194-5357 reed proceedings of the 3rd Computational Methods in Systems and Software 2019 (CoMeSySo 2019), a groundbreaking online conference that provides an international forum for discussing the latest high-quality research results..978-3-030-31361-6978-3-030-31362-3Series ISSN 2194-5357 Series E-ISSN 2194-5365

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Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/c/image/233146.jpg

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Decision Support Systems for the Oil Fields with Cloud Multiagent Service, are the architecture of cloud service. An approach to the formation of communities of cloud service agents is proposed. An algorithm for creating communities of cloud service agents is considered. The results of experimental studies are presented. The results confirm the operability and effectiveness of the proposed approach.

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STALE

Sustainable Supply Chain Management the number of controlled variables. Proposed static compensator ensures automatic creation of input/output pairs for individual control loops. The compensator provides steady state autonomy and unit gain for the control loops. Steady state gain matrix of the controlled system and vector of offsets

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Managing Within Your Organisationere is no guarantee of an acceptable quality of prepared data. The important issue of dataset generation is the labeling noise. The main causes of this phenomena are: expert errors, information insufficiency, subjective factors and so on. Labeling noise affects the learning stage of a neuronet and s

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