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Developing a seq2seq neural network using visual attention to transform mathematical expressions from images to LaTeX of the seq2seq neural network architecture using Visual Attention mechanism to solve the im2latex problem
Application of neural networks for the diagnosis of depth sucker rod pumps the possibility of neural network use the software was developed based with perceptron and Hamming neural networ
G-Networks: Development of the Theory of Multiplicative Networks systems and networks and biophysical neural networks for solving pattern recognition and other problems.
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
Content adaptation neural network method cause-specific the state of users on the use of a neural network method for recognizing the human autonomic nervous system degree of activity
Possibilities of Application of Adaptive Knowledge Testing Using Artificial Neural Networks in Training Economics Students the application of adaptive knowledge testing through artificial neural networks on the improvement of the level
Visual data processing and action control using binary neural networkA new model of the brain-like neural network for visual data processing and action control
Graph Neural Networks for Communication Networks: A Survey networks, the most advanced
deep learning method, Graph Neural Network (GNN), has been
applied
Convolutional Neural Networks for Image Steganalysis computer vision problems. One of these models—Convolutional Neural Network—has been proven to be very
Using GRU based deep neural network for intrusion detection in software-defined networks network attack scenarios. A comparison of machine learning methods implementing neural networks on a
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