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Attentive neural architecture for ad-hoc structured document retrieval neither deep neural networks, which have been successfully applied to ad-hoc information retrieval and Web
Emergence of the small-world architecture in neural networks by activity dependent growth and development of neural networks based on the latest achievements of experimental neuroscience. The model
Modeling of internal combustion engines by adaptive network-based fuzzy inference system are necessary for the implementation of the control action. The structure of the neural network and the rules
Integration of the Russian Stock Market with Systems of Artificial Neural Network and Their Applications intelligence, digital economy, and artificial neural networks are increasingly recurring. The authors propose
Integration of the Russian Stock Market with Systems of Artificial Neural Network and Their Applications intelligence, digital economy, and artificial neural networks are increasingly recurring. The authors propose
NEURAL NETWORK BASED TRANSLATION AND ITS IMPORTANCENEURAL NETWORK BASED TRANSLATION AND ITS IMPORTANCE
Нейросетевая технология обработки сигналов от средств контроля технических объектов контроля. The paper presents a technology based on an ensemble of neural networks that solves the problem
Urban areas analysis using satellite image segmentation and deep neural networkUrban areas analysis using satellite image segmentation and deep neural network
Detecting anomalies in network traffic using machine learning techniquesThe problem of anomaly detection in network traffic using machine learning and neural network
Lawyer's Intellectual Tool for Analysis of Legal Documents in Russian that use a set of rules to provide reference information and neural network models to give an answer
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