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Intellectual Networking in Digital Education – Improving Testing for Enhanced Transfer of Knowledge can better understand the practical results of digital learning. The effectiveness of digital learning
Graph Neural Networks for Communication Networks: A Survey networks, the most advanced
deep learning method, Graph Neural Network (GNN), has been
applied
THE STUDY OF FOREIGN LANGUAGE TEACHING IN THE INFORMATION TECHNOLOGY ENVIRONMENT of society and to meet diverse social needs.Digital learning is an inevitable trend in the development
Lightweight Deep Neural Networks for Dense Crowd Counting EstimationIn this paper, productiveness problems of deep neural networks for dense crowd counting prediction
Применение методов глубокого обучения с подкреплением для максимизации прибыли портфеля ценных бумагThis scientific article is devoted to the application of reinforcement learning methods to maximize
Neural networks fundamentalsAn overview of machine learning technology with a focus on supervised and unsupervised learning
Neural network technology to search for targets in remote sensing images of the Earth, the preparation tools for training samples, optimal configuration and use of deep learning neural networks using
PERSONALITY CHARACTERISTICS OF STUDENTS IN THE REGULATION OF NETWORK ACTIVITY was to identify personality characteristics, which determine the network activity of students. Methodology
Development of network-based programs for advanced training of coal industry workers using intelligent training systems; [Разработка сетевых программ повышения квалификации работников угольной отрасли на основе интеллектуальных обучающих систем] conceptual and methodological foundations to create AI-technologies for corporate online learning in order
Comparing Recurrent Neural Networks and Symbolic regression methodsIn this paper of robot motion control, we scrutinize two contrasting methodologies: Recurrent
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