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Neuro-Symbolic Artificial Intelligence: Application for Control the Quality of Product Labeling neural networks and semantic models. The system perform localization and recognition of images from a

Application of artificial neural networks for detection and localization of fires in imagesIn this paper, actual neural network architectures are considered and tested to solve the problem

Modeling the Fear-Like State in Realistic Neural Network on the three-dimensional monoamines model of affects inherited from works of Hugo Lövheim.

Внедрение инструментов искусственного интеллекта в методику преподавания китайского языкаThe article examines the resource capabilities of artificial intelligence in the field of education

Convolutional neural network with semantically meaningful activations for speech analysis. The mathematical apparatus of convolutional neural networks (CNN) seems suitable to implement this kind

Artificial Neural Network as Kernel of Image Analysis Software of an intelligent agent for image processing using hybrid of Artificial Neural Network and Bayesian networks

ОЦЕНКА ИНДЕКСОВ ГЕОМАГНИТНОЙ И СОЛНЕЧНОЙ АКТИВНОСТИ ПО РАСПРЕДЕЛЕНИЮ ПЭС ИОНОСФЕРЫ С ПОМОЩЬЮ ИСКУССТВЕННЫХ НЕЙРОННЫХ СЕТЕЙ ionospheric maps of the total electron content. A convolutional artificial neural network is used as a

ОЦЕНКА ИНДЕКСОВ ГЕОМАГНИТНОЙ И СОЛНЕЧНОЙ АКТИВНОСТИ ПО РАСПРЕДЕЛЕНИЮ ПЭС ИОНОСФЕРЫ С ПОМОЩЬЮ ИСКУССТВЕННЫХ НЕЙРОННЫХ СЕТЕЙ ionospheric maps of the total electron content. A convolutional artificial neural network is used as a

Iterative Selection of Essential Input Features under Conditions of their Multicollinearity in Space Weather Time Series Forecasting to the target variable and exclusion of features with high cross-correlation. The models were trained on data

Forming the knowledge base of truck transmission control module with using artificial neural networksThe paper examines the possibility of application of the rule base and neural network, as elements

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