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Applying neural networks to the network slicing problem scheme with neural networks mechanism usage.

The power of deep learning to ligand-based novel drug discovery discriminative and generative neural-network models are becoming an integral part of the modern approach

Integration of artificial neural networks and knowledge basesThis article reviews the questions and directions of integration of artificial neural networks

Compressing a convolution neural network based on quantizationModern deep neural network models contain a large number of parameters and have a significant size

ARTIFICIAL NEURAL NETWORKS, SUPPORT VECTOR MACHINES AND DECISION TREES FOR ANTI HIV ACTIVITY PREDICTION OF ORGANIC COMPOUNDSARTIFICIAL NEURAL NETWORKS, SUPPORT VECTOR MACHINES AND DECISION TREES FOR ANTI HIV ACTIVITY

Spectrum Hole Prediction in Cognitive Radio Systems by LSTM Neural Networks and described. A description of the technology of forming a dataset for training and testing neural networks

Markov Decision Process and Artificial Neural Network for Resource Capacity Planning in 5G Network Slicing reallocation, and maximum resource utilization. We employ an artificial neural network (multilayer perceptron

Review of online X-ray diagnostic services based on artificial neural networks in dentistry; [Обзор рентгенодиагностических on-line сервисов, основанных на искусственных нейронных сетях в стоматологии] artificial neural networks (ANNs) in dentistry, especially for cephalometric analysis. Materials and methods

NEURAL NETWORK TECHNOLOGY IN THE LEGAL SPACE: THE ECONOMIC AND SOCIAL BACKGROUND OF LEGAL REGULATIONThe article discusses the possibility of using artificial intelligence based on neural network

Information structures in the framework of information warfare – ontology approach of information, provide its storage and access to users. Such structures may include neural networks, self

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