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Titlebook: Cognitive Computing – ICCC 2019; Third International Ruifeng Xu,Jianzong Wang,Liang-Jie Zhang Conference proceedings 2019 Springer Nature

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Paracrystalline Layers of , GP1ing due to restrictions on computing capabilities and power, the character of real-time and requirements of the interaction pattern. Recent studies show that deep learning approaches can achieve impressive performance on these kinds of tasks. Therefore, a bionic cascaded framework adopted a cascaded
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Artificial Intelligence and Nudgings in discrete speech emotion recognition. Firstly, preliminary cognitive mechanism of auditory emotion is explored through cognitive experiments, and then a multi-granularity fusion feature extraction method inspired by the mechanism for discrete emotional speech signals is proposed. The method can
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Communication in the Twenty-First Centuryy written to mislead readers, lexical features based methods have great limitations. Previous work has proven the effectiveness of contextual information for fake news detection. However, they ignore the influence of sequence order when extract features from contextual information. Inspired by trans
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https://doi.org/10.1007/978-3-031-15710-3) capabilities, they need to ensure key infrastructure (big data and knowledge artifacts) is also mature enough to handle the transition. Before any organizations or domains develop or adopt a strategy based on AI, ML, or any other form of intelligent system, they need to do a self-assessment that a
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S. Kimoto,F. Oka,Y. Miki,T. Fukuda,H. Iwai most patients with depressive symptoms are reluctant to go to the hospital and miss appropriate treatment. Therefore, a simple prescreening method that an individual can use to identify depression is needed. Most EEG measurement devices that individuals use have few channels. However, most studies
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