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Диагностика патологий по данным видеоэндоскопии с использованием ансамбля сверточных нейронных сетей
Костин, Кирилл Александрович, Иванова, Анна Витальевна, Liang, J., Замятин, Александр Владимирович, Аксенов, Сергей Владимирович
An ensemble of convolutional neural networks for the use in video endoscopy
Clustering of social network data by means of kohonen neural networks
Vakhitov G., Enikeeva Z., Ustin P., Davletshin N.
the clustering of these student profiles in the social network using the Kohonen neural network and revealed
EAMultiRes-DSPP: an efficient attention-based multi-residual network with dilated spatial pyramid pooling for identifying plant disease
Al-Gaashani M.S.A.M., Muthanna A., Chelloug S.A., Kumar N.
Convolutional neural networks (CNNs) have made substantial contributions to the domain of plant
Neural network ChatGPT: a helping hand or a new competitor?
Silenkova, D. S., Zatsepina, M. I.
advanced neural networks called Chat GPT. It was determined that neural networks are a type of artificial
Developing a seq2seq neural network using visual attention to transform mathematical expressions from images to LaTeX
Vyaznikov, P. A., Kotilevets, I. D.
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
Ziyatdinov R., Mukhametzyanov V., Nabiullina G.
the possibility of neural network use the software was developed based with perceptron and Hamming neural networ
Robust Estimation of VANET Performance-Based Robust Neural Networks Learning
Abdellah A.R., Muthanna A., Koucheryavy A.
and vehicle with a high mobility feature. Presently the artificial neural networks is often used in several
G-Networks: Development of the Theory of Multiplicative Networks
Bocharov P.P., Vishnevskii V.M.
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 networks
Mullahmetov A., Simonova L.
The 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
Khlivnenko, L. V., Pyatakovich, F. A., Yakunchenko, T. I.
on the use of a neural network method for recognizing the human autonomic nervous system degree of activity

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