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Paralinguistic model for emotions recognition with deep neural networksIn this paper the computer paralinguistic model for emotions recognition based on deep neural

Integration of remote sensing and artificial neural networks for prediction of soil organic carbon in arid zones (NIR), NDVI data as the supporting variables, and Artificial Neural Networks (ANNs). A total of 120

Modernized algorithm of neural network initial weighting factors during the diagnosis of diesel engine faults. It is advisable to develop this system based on an artificial neural network, which allows to classify diesel

Графовые нейронные сети для прокси-моделирования гидродинамики пласта proposes a reservoir proxy modeling method based on the use of a specific artificial neural network (ANN

Robot dream is been transferred to the supercomputing system to update the realistic neural network: emotional

G-Networks: Development of the Theory of Multiplicative Networks for extending the multiplicative theory of queueing networks and for practical specialists in modeling computing

Deep neural networks application in next-generation intelligent computer systems) based on the integration of pre-trained models of deep neural networks and logical models developed

Transforming the future: a review of artificial intelligence modelsA comprehensive review of existing artificial intelligence models, focusing on fourteen prominent

Comparative analysis of methods for simulating the well operation with electric submersible pump installations and artificial neural networks. Such combined models have been shown to possess essential generalizing

НЕКОТОРЫЕ АСПЕКТЫ ИСПОЛЬЗОВАНИЯ ЦИФРОВЫХ ТЕХНОЛОГИЙ В ПРОДВИЖЕНИИ ОТЕЛЯThe article discusses aspects of the use of neural networks in customer-oriented hotel management

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